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Survey Research – Types, Methods, Examples

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Survey Research

Definition:

Survey Research is a quantitative research method that involves collecting standardized data from a sample of individuals or groups through the use of structured questionnaires or interviews. The data collected is then analyzed statistically to identify patterns and relationships between variables, and to draw conclusions about the population being studied.

Survey research can be used to answer a variety of questions, including:

• What are people’s opinions about a certain topic?
• What are people’s experiences with a certain product or service?
• What are people’s beliefs about a certain issue?

Survey Research Methods

Survey Research Methods are as follows:

• Telephone surveys: A survey research method where questions are administered to respondents over the phone, often used in market research or political polling.
• Face-to-face surveys: A survey research method where questions are administered to respondents in person, often used in social or health research.
• Mail surveys: A survey research method where questionnaires are sent to respondents through mail, often used in customer satisfaction or opinion surveys.
• Online surveys: A survey research method where questions are administered to respondents through online platforms, often used in market research or customer feedback.
• Email surveys: A survey research method where questionnaires are sent to respondents through email, often used in customer satisfaction or opinion surveys.
• Mixed-mode surveys: A survey research method that combines two or more survey modes, often used to increase response rates or reach diverse populations.
• Computer-assisted surveys: A survey research method that uses computer technology to administer or collect survey data, often used in large-scale surveys or data collection.
• Interactive voice response surveys: A survey research method where respondents answer questions through a touch-tone telephone system, often used in automated customer satisfaction or opinion surveys.
• Mobile surveys: A survey research method where questions are administered to respondents through mobile devices, often used in market research or customer feedback.
• Group-administered surveys: A survey research method where questions are administered to a group of respondents simultaneously, often used in education or training evaluation.
• Web-intercept surveys: A survey research method where questions are administered to website visitors, often used in website or user experience research.
• In-app surveys: A survey research method where questions are administered to users of a mobile application, often used in mobile app or user experience research.
• Social media surveys: A survey research method where questions are administered to respondents through social media platforms, often used in social media or brand awareness research.
• SMS surveys: A survey research method where questions are administered to respondents through text messaging, often used in customer feedback or opinion surveys.
• IVR surveys: A survey research method where questions are administered to respondents through an interactive voice response system, often used in automated customer feedback or opinion surveys.
• Mixed-method surveys: A survey research method that combines both qualitative and quantitative data collection methods, often used in exploratory or mixed-method research.
• Drop-off surveys: A survey research method where respondents are provided with a survey questionnaire and asked to return it at a later time or through a designated drop-off location.
• Intercept surveys: A survey research method where respondents are approached in public places and asked to participate in a survey, often used in market research or customer feedback.
• Hybrid surveys: A survey research method that combines two or more survey modes, data sources, or research methods, often used in complex or multi-dimensional research questions.

Types of Survey Research

There are several types of survey research that can be used to collect data from a sample of individuals or groups. following are Types of Survey Research:

• Cross-sectional survey: A type of survey research that gathers data from a sample of individuals at a specific point in time, providing a snapshot of the population being studied.
• Longitudinal survey: A type of survey research that gathers data from the same sample of individuals over an extended period of time, allowing researchers to track changes or trends in the population being studied.
• Panel survey: A type of longitudinal survey research that tracks the same sample of individuals over time, typically collecting data at multiple points in time.
• Epidemiological survey: A type of survey research that studies the distribution and determinants of health and disease in a population, often used to identify risk factors and inform public health interventions.
• Observational survey: A type of survey research that collects data through direct observation of individuals or groups, often used in behavioral or social research.
• Correlational survey: A type of survey research that measures the degree of association or relationship between two or more variables, often used to identify patterns or trends in data.
• Experimental survey: A type of survey research that involves manipulating one or more variables to observe the effect on an outcome, often used to test causal hypotheses.
• Descriptive survey: A type of survey research that describes the characteristics or attributes of a population or phenomenon, often used in exploratory research or to summarize existing data.
• Diagnostic survey: A type of survey research that assesses the current state or condition of an individual or system, often used in health or organizational research.
• Explanatory survey: A type of survey research that seeks to explain or understand the causes or mechanisms behind a phenomenon, often used in social or psychological research.
• Process evaluation survey: A type of survey research that measures the implementation and outcomes of a program or intervention, often used in program evaluation or quality improvement.
• Impact evaluation survey: A type of survey research that assesses the effectiveness or impact of a program or intervention, often used to inform policy or decision-making.
• Customer satisfaction survey: A type of survey research that measures the satisfaction or dissatisfaction of customers with a product, service, or experience, often used in marketing or customer service research.
• Market research survey: A type of survey research that collects data on consumer preferences, behaviors, or attitudes, often used in market research or product development.
• Public opinion survey: A type of survey research that measures the attitudes, beliefs, or opinions of a population on a specific issue or topic, often used in political or social research.
• Behavioral survey: A type of survey research that measures actual behavior or actions of individuals, often used in health or social research.
• Attitude survey: A type of survey research that measures the attitudes, beliefs, or opinions of individuals, often used in social or psychological research.
• Opinion poll: A type of survey research that measures the opinions or preferences of a population on a specific issue or topic, often used in political or media research.
• Ad hoc survey: A type of survey research that is conducted for a specific purpose or research question, often used in exploratory research or to answer a specific research question.

Types Based on Methodology

Based on Methodology Survey are divided into two Types:

Quantitative Survey Research

Qualitative survey research.

Quantitative survey research is a method of collecting numerical data from a sample of participants through the use of standardized surveys or questionnaires. The purpose of quantitative survey research is to gather empirical evidence that can be analyzed statistically to draw conclusions about a particular population or phenomenon.

In quantitative survey research, the questions are structured and pre-determined, often utilizing closed-ended questions, where participants are given a limited set of response options to choose from. This approach allows for efficient data collection and analysis, as well as the ability to generalize the findings to a larger population.

Quantitative survey research is often used in market research, social sciences, public health, and other fields where numerical data is needed to make informed decisions and recommendations.

Qualitative survey research is a method of collecting non-numerical data from a sample of participants through the use of open-ended questions or semi-structured interviews. The purpose of qualitative survey research is to gain a deeper understanding of the experiences, perceptions, and attitudes of participants towards a particular phenomenon or topic.

In qualitative survey research, the questions are open-ended, allowing participants to share their thoughts and experiences in their own words. This approach allows for a rich and nuanced understanding of the topic being studied, and can provide insights that are difficult to capture through quantitative methods alone.

Qualitative survey research is often used in social sciences, education, psychology, and other fields where a deeper understanding of human experiences and perceptions is needed to inform policy, practice, or theory.

Data Analysis Methods

There are several Survey Research Data Analysis Methods that researchers may use, including:

• Descriptive statistics: This method is used to summarize and describe the basic features of the survey data, such as the mean, median, mode, and standard deviation. These statistics can help researchers understand the distribution of responses and identify any trends or patterns.
• Inferential statistics: This method is used to make inferences about the larger population based on the data collected in the survey. Common inferential statistical methods include hypothesis testing, regression analysis, and correlation analysis.
• Factor analysis: This method is used to identify underlying factors or dimensions in the survey data. This can help researchers simplify the data and identify patterns and relationships that may not be immediately apparent.
• Cluster analysis: This method is used to group similar respondents together based on their survey responses. This can help researchers identify subgroups within the larger population and understand how different groups may differ in their attitudes, behaviors, or preferences.
• Structural equation modeling: This method is used to test complex relationships between variables in the survey data. It can help researchers understand how different variables may be related to one another and how they may influence one another.
• Content analysis: This method is used to analyze open-ended responses in the survey data. Researchers may use software to identify themes or categories in the responses, or they may manually review and code the responses.
• Text mining: This method is used to analyze text-based survey data, such as responses to open-ended questions. Researchers may use software to identify patterns and themes in the text, or they may manually review and code the text.

Applications of Survey Research

Here are some common applications of survey research:

• Market Research: Companies use survey research to gather insights about customer needs, preferences, and behavior. These insights are used to create marketing strategies and develop new products.
• Public Opinion Research: Governments and political parties use survey research to understand public opinion on various issues. This information is used to develop policies and make decisions.
• Social Research: Survey research is used in social research to study social trends, attitudes, and behavior. Researchers use survey data to explore topics such as education, health, and social inequality.
• Academic Research: Survey research is used in academic research to study various phenomena. Researchers use survey data to test theories, explore relationships between variables, and draw conclusions.
• Customer Satisfaction Research: Companies use survey research to gather information about customer satisfaction with their products and services. This information is used to improve customer experience and retention.
• Employee Surveys: Employers use survey research to gather feedback from employees about their job satisfaction, working conditions, and organizational culture. This information is used to improve employee retention and productivity.
• Health Research: Survey research is used in health research to study topics such as disease prevalence, health behaviors, and healthcare access. Researchers use survey data to develop interventions and improve healthcare outcomes.

Examples of Survey Research

Here are some real-time examples of survey research:

• COVID-19 Pandemic Surveys: Since the outbreak of the COVID-19 pandemic, surveys have been conducted to gather information about public attitudes, behaviors, and perceptions related to the pandemic. Governments and healthcare organizations have used this data to develop public health strategies and messaging.
• Political Polls During Elections: During election seasons, surveys are used to measure public opinion on political candidates, policies, and issues in real-time. This information is used by political parties to develop campaign strategies and make decisions.
• Customer Feedback Surveys: Companies often use real-time customer feedback surveys to gather insights about customer experience and satisfaction. This information is used to improve products and services quickly.
• Event Surveys: Organizers of events such as conferences and trade shows often use surveys to gather feedback from attendees in real-time. This information can be used to improve future events and make adjustments during the current event.
• Website and App Surveys: Website and app owners use surveys to gather real-time feedback from users about the functionality, user experience, and overall satisfaction with their platforms. This feedback can be used to improve the user experience and retain customers.
• Employee Pulse Surveys: Employers use real-time pulse surveys to gather feedback from employees about their work experience and overall job satisfaction. This feedback is used to make changes in real-time to improve employee retention and productivity.

Survey Sample

Purpose of survey research.

The purpose of survey research is to gather data and insights from a representative sample of individuals. Survey research allows researchers to collect data quickly and efficiently from a large number of people, making it a valuable tool for understanding attitudes, behaviors, and preferences.

Here are some common purposes of survey research:

• Descriptive Research: Survey research is often used to describe characteristics of a population or a phenomenon. For example, a survey could be used to describe the characteristics of a particular demographic group, such as age, gender, or income.
• Exploratory Research: Survey research can be used to explore new topics or areas of research. Exploratory surveys are often used to generate hypotheses or identify potential relationships between variables.
• Explanatory Research: Survey research can be used to explain relationships between variables. For example, a survey could be used to determine whether there is a relationship between educational attainment and income.
• Evaluation Research: Survey research can be used to evaluate the effectiveness of a program or intervention. For example, a survey could be used to evaluate the impact of a health education program on behavior change.
• Monitoring Research: Survey research can be used to monitor trends or changes over time. For example, a survey could be used to monitor changes in attitudes towards climate change or political candidates over time.

When to use Survey Research

there are certain circumstances where survey research is particularly appropriate. Here are some situations where survey research may be useful:

• When the research question involves attitudes, beliefs, or opinions: Survey research is particularly useful for understanding attitudes, beliefs, and opinions on a particular topic. For example, a survey could be used to understand public opinion on a political issue.
• When the research question involves behaviors or experiences: Survey research can also be useful for understanding behaviors and experiences. For example, a survey could be used to understand the prevalence of a particular health behavior.
• When a large sample size is needed: Survey research allows researchers to collect data from a large number of people quickly and efficiently. This makes it a useful method when a large sample size is needed to ensure statistical validity.
• When the research question is time-sensitive: Survey research can be conducted quickly, which makes it a useful method when the research question is time-sensitive. For example, a survey could be used to understand public opinion on a breaking news story.
• When the research question involves a geographically dispersed population: Survey research can be conducted online, which makes it a useful method when the population of interest is geographically dispersed.

How to Conduct Survey Research

Conducting survey research involves several steps that need to be carefully planned and executed. Here is a general overview of the process:

• Define the research question: The first step in conducting survey research is to clearly define the research question. The research question should be specific, measurable, and relevant to the population of interest.
• Develop a survey instrument : The next step is to develop a survey instrument. This can be done using various methods, such as online survey tools or paper surveys. The survey instrument should be designed to elicit the information needed to answer the research question, and should be pre-tested with a small sample of individuals.
• Select a sample : The sample is the group of individuals who will be invited to participate in the survey. The sample should be representative of the population of interest, and the size of the sample should be sufficient to ensure statistical validity.
• Administer the survey: The survey can be administered in various ways, such as online, by mail, or in person. The method of administration should be chosen based on the population of interest and the research question.
• Analyze the data: Once the survey data is collected, it needs to be analyzed. This involves summarizing the data using statistical methods, such as frequency distributions or regression analysis.
• Draw conclusions: The final step is to draw conclusions based on the data analysis. This involves interpreting the results and answering the research question.

Advantages of Survey Research

There are several advantages to using survey research, including:

• Efficient data collection: Survey research allows researchers to collect data quickly and efficiently from a large number of people. This makes it a useful method for gathering information on a wide range of topics.
• Standardized data collection: Surveys are typically standardized, which means that all participants receive the same questions in the same order. This ensures that the data collected is consistent and reliable.
• Cost-effective: Surveys can be conducted online, by mail, or in person, which makes them a cost-effective method of data collection.
• Anonymity: Participants can remain anonymous when responding to a survey. This can encourage participants to be more honest and open in their responses.
• Easy comparison: Surveys allow for easy comparison of data between different groups or over time. This makes it possible to identify trends and patterns in the data.
• Versatility: Surveys can be used to collect data on a wide range of topics, including attitudes, beliefs, behaviors, and preferences.

Limitations of Survey Research

Here are some of the main limitations of survey research:

• Limited depth: Surveys are typically designed to collect quantitative data, which means that they do not provide much depth or detail about people’s experiences or opinions. This can limit the insights that can be gained from the data.
• Potential for bias: Surveys can be affected by various biases, including selection bias, response bias, and social desirability bias. These biases can distort the results and make them less accurate.
• L imited validity: Surveys are only as valid as the questions they ask. If the questions are poorly designed or ambiguous, the results may not accurately reflect the respondents’ attitudes or behaviors.
• Limited generalizability : Survey results are only generalizable to the population from which the sample was drawn. If the sample is not representative of the population, the results may not be generalizable to the larger population.
• Limited ability to capture context: Surveys typically do not capture the context in which attitudes or behaviors occur. This can make it difficult to understand the reasons behind the responses.
• Limited ability to capture complex phenomena: Surveys are not well-suited to capture complex phenomena, such as emotions or the dynamics of interpersonal relationships.

Following is an example of a Survey Sample:

Welcome to our Survey Research Page! We value your opinions and appreciate your participation in this survey. Please answer the questions below as honestly and thoroughly as possible.

1. What is your age?

• A) Under 18
• G) 65 or older

2. What is your highest level of education completed?

• A) Less than high school
• B) High school or equivalent
• C) Some college or technical school
• D) Bachelor’s degree
• E) Graduate or professional degree

3. What is your current employment status?

• A) Employed full-time
• B) Employed part-time
• C) Self-employed
• D) Unemployed

4. How often do you use the internet per day?

•  A) Less than 1 hour
• B) 1-3 hours
• C) 3-5 hours
• D) 5-7 hours
• E) More than 7 hours

5. How often do you engage in social media per day?

6. Have you ever participated in a survey research study before?

7. If you have participated in a survey research study before, how was your experience?

• A) Excellent
• E) Very poor

8. What are some of the topics that you would be interested in participating in a survey research study about?

……………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………….

9. How often would you be willing to participate in survey research studies?

• A) Once a week
• B) Once a month
• C) Once every 6 months
• D) Once a year

10. Any additional comments or suggestions?

Thank you for taking the time to complete this survey. Your feedback is important to us and will help us improve our survey research efforts.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Home Market Research

Survey Research: Definition, Examples and Methods

Survey Research is a quantitative research method used for collecting data from a set of respondents. It has been perhaps one of the most used methodologies in the industry for several years due to the multiple benefits and advantages that it has when collecting and analyzing data.

LEARN ABOUT: Behavioral Research

In this article, you will learn everything about survey research, such as types, methods, and examples.

Survey Research Definition

Survey Research is defined as the process of conducting research using surveys that researchers send to survey respondents. The data collected from surveys is then statistically analyzed to draw meaningful research conclusions. In the 21st century, every organization’s eager to understand what their customers think about their products or services and make better business decisions. Researchers can conduct research in multiple ways, but surveys are proven to be one of the most effective and trustworthy research methods. An online survey is a method for extracting information about a significant business matter from an individual or a group of individuals. It consists of structured survey questions that motivate the participants to respond. Creditable survey research can give these businesses access to a vast information bank. Organizations in media, other companies, and even governments rely on survey research to obtain accurate data.

The traditional definition of survey research is a quantitative method for collecting information from a pool of respondents by asking multiple survey questions. This research type includes the recruitment of individuals collection, and analysis of data. It’s useful for researchers who aim to communicate new features or trends to their respondents.

LEARN ABOUT: Level of Analysis Generally, it’s the primary step towards obtaining quick information about mainstream topics and conducting more rigorous and detailed quantitative research methods like surveys/polls or qualitative research methods like focus groups/on-call interviews can follow. There are many situations where researchers can conduct research using a blend of both qualitative and quantitative strategies.

LEARN ABOUT: Survey Sampling

Survey Research Methods

Survey research methods can be derived based on two critical factors: Survey research tool and time involved in conducting research. There are three main survey research methods, divided based on the medium of conducting survey research:

• Online/ Email:   Online survey research is one of the most popular survey research methods today. The survey cost involved in online survey research is extremely minimal, and the responses gathered are highly accurate.
• Phone:  Survey research conducted over the telephone ( CATI survey ) can be useful in collecting data from a more extensive section of the target population. There are chances that the money invested in phone surveys will be higher than other mediums, and the time required will be higher.
• Face-to-face:  Researchers conduct face-to-face in-depth interviews in situations where there is a complicated problem to solve. The response rate for this method is the highest, but it can be costly.

Further, based on the time taken, survey research can be classified into two methods:

• Longitudinal survey research:  Longitudinal survey research involves conducting survey research over a continuum of time and spread across years and decades. The data collected using this survey research method from one time period to another is qualitative or quantitative. Respondent behavior, preferences, and attitudes are continuously observed over time to analyze reasons for a change in behavior or preferences. For example, suppose a researcher intends to learn about the eating habits of teenagers. In that case, he/she will follow a sample of teenagers over a considerable period to ensure that the collected information is reliable. Often, cross-sectional survey research follows a longitudinal study .
• Cross-sectional survey research:  Researchers conduct a cross-sectional survey to collect insights from a target audience at a particular time interval. This survey research method is implemented in various sectors such as retail, education, healthcare, SME businesses, etc. Cross-sectional studies can either be descriptive or analytical. It is quick and helps researchers collect information in a brief period. Researchers rely on the cross-sectional survey research method in situations where descriptive analysis of a subject is required.

Survey research also is bifurcated according to the sampling methods used to form samples for research: Probability and Non-probability sampling. Every individual in a population should be considered equally to be a part of the survey research sample. Probability sampling is a sampling method in which the researcher chooses the elements based on probability theory. The are various probability research methods, such as simple random sampling , systematic sampling, cluster sampling, stratified random sampling, etc. Non-probability sampling is a sampling method where the researcher uses his/her knowledge and experience to form samples.

LEARN ABOUT: Survey Sample Sizes

The various non-probability sampling techniques are :

• Convenience sampling
• Snowball sampling
• Consecutive sampling
• Judgemental sampling
• Quota sampling

Process of implementing survey research methods:

• Decide survey questions:  Brainstorm and put together valid survey questions that are grammatically and logically appropriate. Understanding the objective and expected outcomes of the survey helps a lot. There are many surveys where details of responses are not as important as gaining insights about what customers prefer from the provided options. In such situations, a researcher can include multiple-choice questions or closed-ended questions . Whereas, if researchers need to obtain details about specific issues, they can consist of open-ended questions in the questionnaire. Ideally, the surveys should include a smart balance of open-ended and closed-ended questions. Use survey questions like Likert Scale , Semantic Scale, Net Promoter Score question, etc., to avoid fence-sitting.

LEARN ABOUT: System Usability Scale

• Finalize a target audience:  Send out relevant surveys as per the target audience and filter out irrelevant questions as per the requirement. The survey research will be instrumental in case the target population decides on a sample. This way, results can be according to the desired market and be generalized to the entire population.

LEARN ABOUT:  Testimonial Questions

• Send out surveys via decided mediums:  Distribute the surveys to the target audience and patiently wait for the feedback and comments- this is the most crucial step of the survey research. The survey needs to be scheduled, keeping in mind the nature of the target audience and its regions. Surveys can be conducted via email, embedded in a website, shared via social media, etc., to gain maximum responses.
• Analyze survey results:  Analyze the feedback in real-time and identify patterns in the responses which might lead to a much-needed breakthrough for your organization. GAP, TURF Analysis , Conjoint analysis, Cross tabulation, and many such survey feedback analysis methods can be used to spot and shed light on respondent behavior. Researchers can use the results to implement corrective measures to improve customer/employee satisfaction.

Reasons to conduct survey research

The most crucial and integral reason for conducting market research using surveys is that you can collect answers regarding specific, essential questions. You can ask these questions in multiple survey formats as per the target audience and the intent of the survey. Before designing a study, every organization must figure out the objective of carrying this out so that the study can be structured, planned, and executed to perfection.

LEARN ABOUT: Research Process Steps

Questions that need to be on your mind while designing a survey are:

• What is the primary aim of conducting the survey?
• How do you plan to utilize the collected survey data?
• What type of decisions do you plan to take based on the points mentioned above?

There are three critical reasons why an organization must conduct survey research.

• Understand respondent behavior to get solutions to your queries:  If you’ve carefully curated a survey, the respondents will provide insights about what they like about your organization as well as suggestions for improvement. To motivate them to respond, you must be very vocal about how secure their responses will be and how you will utilize the answers. This will push them to be 100% honest about their feedback, opinions, and comments. Online surveys or mobile surveys have proved their privacy, and due to this, more and more respondents feel free to put forth their feedback through these mediums.
• Present a medium for discussion:  A survey can be the perfect platform for respondents to provide criticism or applause for an organization. Important topics like product quality or quality of customer service etc., can be put on the table for discussion. A way you can do it is by including open-ended questions where the respondents can write their thoughts. This will make it easy for you to correlate your survey to what you intend to do with your product or service.
• Strategy for never-ending improvements:  An organization can establish the target audience’s attributes from the pilot phase of survey research . Researchers can use the criticism and feedback received from this survey to improve the product/services. Once the company successfully makes the improvements, it can send out another survey to measure the change in feedback keeping the pilot phase the benchmark. By doing this activity, the organization can track what was effectively improved and what still needs improvement.

Survey Research Scales

There are four main scales for the measurement of variables:

• Nominal Scale:  A nominal scale associates numbers with variables for mere naming or labeling, and the numbers usually have no other relevance. It is the most basic of the four levels of measurement.
• Ordinal Scale:  The ordinal scale has an innate order within the variables along with labels. It establishes the rank between the variables of a scale but not the difference value between the variables.
• Interval Scale:  The interval scale is a step ahead in comparison to the other two scales. Along with establishing a rank and name of variables, the scale also makes known the difference between the two variables. The only drawback is that there is no fixed start point of the scale, i.e., the actual zero value is absent.
• Ratio Scale:  The ratio scale is the most advanced measurement scale, which has variables that are labeled in order and have a calculated difference between variables. In addition to what interval scale orders, this scale has a fixed starting point, i.e., the actual zero value is present.

Benefits of survey research

In case survey research is used for all the right purposes and is implemented properly, marketers can benefit by gaining useful, trustworthy data that they can use to better the ROI of the organization.

Other benefits of survey research are:

• Minimum investment:  Mobile surveys and online surveys have minimal finance invested per respondent. Even with the gifts and other incentives provided to the people who participate in the study, online surveys are extremely economical compared to paper-based surveys.
• Versatile sources for response collection:  You can conduct surveys via various mediums like online and mobile surveys. You can further classify them into qualitative mediums like focus groups , and interviews and quantitative mediums like customer-centric surveys. Due to the offline survey response collection option, researchers can conduct surveys in remote areas with limited internet connectivity. This can make data collection and analysis more convenient and extensive.
• Reliable for respondents:  Surveys are extremely secure as the respondent details and responses are kept safeguarded. This anonymity makes respondents answer the survey questions candidly and with absolute honesty. An organization seeking to receive explicit responses for its survey research must mention that it will be confidential.

Survey research design

Researchers implement a survey research design in cases where there is a limited cost involved and there is a need to access details easily. This method is often used by small and large organizations to understand and analyze new trends, market demands, and opinions. Collecting information through tactfully designed survey research can be much more effective and productive than a casually conducted survey.

There are five stages of survey research design:

• Decide an aim of the research:  There can be multiple reasons for a researcher to conduct a survey, but they need to decide a purpose for the research. This is the primary stage of survey research as it can mold the entire path of a survey, impacting its results.
• Filter the sample from target population:  Who to target? is an essential question that a researcher should answer and keep in mind while conducting research. The precision of the results is driven by who the members of a sample are and how useful their opinions are. The quality of respondents in a sample is essential for the results received for research and not the quantity. If a researcher seeks to understand whether a product feature will work well with their target market, he/she can conduct survey research with a group of market experts for that product or technology.
• Zero-in on a survey method:  Many qualitative and quantitative research methods can be discussed and decided. Focus groups, online interviews, surveys, polls, questionnaires, etc. can be carried out with a pre-decided sample of individuals.
• Design the questionnaire:  What will the content of the survey be? A researcher is required to answer this question to be able to design it effectively. What will the content of the cover letter be? Or what are the survey questions of this questionnaire? Understand the target market thoroughly to create a questionnaire that targets a sample to gain insights about a survey research topic.
• Send out surveys and analyze results:  Once the researcher decides on which questions to include in a study, they can send it across to the selected sample . Answers obtained from this survey can be analyzed to make product-related or marketing-related decisions.

Survey examples: 10 tips to design the perfect research survey

Picking the right survey design can be the key to gaining the information you need to make crucial decisions for all your research. It is essential to choose the right topic, choose the right question types, and pick a corresponding design. If this is your first time creating a survey, it can seem like an intimidating task. But with QuestionPro, each step of the process is made simple and easy.

Below are 10 Tips To Design The Perfect Research Survey:

• Set your SMART goals:  Before conducting any market research or creating a particular plan, set your SMART Goals . What is that you want to achieve with the survey? How will you measure it promptly, and what are the results you are expecting?
• Choose the right questions:  Designing a survey can be a tricky task. Asking the right questions may help you get the answers you are looking for and ease the task of analyzing. So, always choose those specific questions – relevant to your research.
• Begin your survey with a generalized question:  Preferably, start your survey with a general question to understand whether the respondent uses the product or not. That also provides an excellent base and intro for your survey.
• Enhance your survey:  Choose the best, most relevant, 15-20 questions. Frame each question as a different question type based on the kind of answer you would like to gather from each. Create a survey using different types of questions such as multiple-choice, rating scale, open-ended, etc. Look at more survey examples and four measurement scales every researcher should remember.
• Prepare yes/no questions:  You may also want to use yes/no questions to separate people or branch them into groups of those who “have purchased” and those who “have not yet purchased” your products or services. Once you separate them, you can ask them different questions.
• Test all electronic devices:  It becomes effortless to distribute your surveys if respondents can answer them on different electronic devices like mobiles, tablets, etc. Once you have created your survey, it’s time to TEST. You can also make any corrections if needed at this stage.
• Distribute your survey:  Once your survey is ready, it is time to share and distribute it to the right audience. You can share handouts and share them via email, social media, and other industry-related offline/online communities.
• Collect and analyze responses:  After distributing your survey, it is time to gather all responses. Make sure you store your results in a particular document or an Excel sheet with all the necessary categories mentioned so that you don’t lose your data. Remember, this is the most crucial stage. Segregate your responses based on demographics, psychographics, and behavior. This is because, as a researcher, you must know where your responses are coming from. It will help you to analyze, predict decisions, and help write the summary report.
• Prepare your summary report:  Now is the time to share your analysis. At this stage, you should mention all the responses gathered from a survey in a fixed format. Also, the reader/customer must get clarity about your goal, which you were trying to gain from the study. Questions such as – whether the product or service has been used/preferred or not. Do respondents prefer some other product to another? Any recommendations?

Having a tool that helps you carry out all the necessary steps to carry out this type of study is a vital part of any project. At QuestionPro, we have helped more than 10,000 clients around the world to carry out data collection in a simple and effective way, in addition to offering a wide range of solutions to take advantage of this data in the best possible way.

From dashboards, advanced analysis tools, automation, and dedicated functions, in QuestionPro, you will find everything you need to execute your research projects effectively. Uncover insights that matter the most!

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Types of survey research

Learn about the three main types of survey research and how SurveyMonkey can help you on your next research project.

Survey research allows you to gather critical insights from a target audience. This guide will walk you through the three main types of surveys—exploratory, descriptive, and causal—to help you determine the right approach and application to meet your research goals. 

To help you develop a survey-based research plan, we'll explore:

What is survey research?

Applications of survey research, what forms can research surveys take, why conduct research surveys, research survey design.

Surveys are primary research tools that provide data as part of overall research strategies. Survey research is critical to getting the answers you need, yielding valuable primary research data to make informed decisions about everything from product development to marketing campaigns.

Regardless of how you conduct survey research, it should have the following characteristics:

• Usage: surveys are used to gather information about human behavior
• Systematic: survey research follows proven procedures to collect evidence 
• Replicable: applying the same methods more than once should achieve similar results
• Types: surveys can be exploratory, descriptive, or casual used in both online and offline forms 
• Data: survey research can generate both quantitative and qualitative data
• Impartial: sampling is randomized to avoid bias

Advantages of survey research

Depending on the type of information you’re looking for and the types of survey research methods you employ, you’ll find that there are several benefits, including:

Easy to execute

Surveys are generally easy to conduct, especially online. If you use SurveyMonkey, you can access hundreds of customizable templates that make it easy to personalize your survey research. Our data dashboard transforms your data into charts and graphs that make data easy to understand and use.

Cost-effective

Conducting your survey research online is likely the most cost-effective way to gather data. In-person surveys and interviews require trained staff to gather, calculate, and analyze data. 

With surveys, you can collect data from a large population in a short time, providing even more cost savings. Don’t have a list of participants from your target market? A global survey panel such as SurveyMonkey Audience can help you reach the respondents you need.

Flexible for gathering quantitative and qualitative data

A key advantage to survey research methods is that they can  collect both quantitative and qualitative data to provide a complete picture of your target audience. Use a variety of question types , such as multiple choice, Likert scale, dropdowns, ranking, and more to obtain quantitative insights. You can also ask open-ended questions to gain the anecdotal information you need to bring individual perspectives to life.

Related: Qualitative vs. quantitative research: What’s the difference?

Limitations of survey research

Like any type of research, there are some disadvantages to using surveys, including:

Survey participants may feel that they don’t have to provide honest answers because of the anonymity of taking surveys online.

Non-responses

Respondents may choose not to respond to some questions, which can lead to bias in your results.

Interpretation differences

If questions and answers are not specific enough, respondents may have difficulty interpreting and answering. For example, a "yes" or "no" question may be difficult for someone who wants to answer “only one time.”

There are several types of research methods. Exploratory, descriptive, and causal are the three main types that we'll walk you through. It helps to familiarize yourself with these types before designing your survey research .

Exploratory research

Exploratory research is an important part of any marketing or business strategy. Its focus is on the discovery of ideas and insights as opposed to collecting statistically accurate data. That is why exploratory research is best suited as the beginning of your total research plan. It is most commonly used for further defining company issues, areas for potential growth, alternative courses of action, and prioritizing areas that require statistical research.

When it comes to online surveys, the most common example of exploratory research takes place in the form of open-ended questions for qualitative data. Think of exploratory questions as means of expanding your understanding of your survey respondents. While text-based responses may not be statistically measurable, they will give you richer quality information that can lead to the discovery of new initiatives or problems that should be addressed.

The following are key traits of exploratory research:

• Contains probing questions: used to understand more about a topic qualitatively
• Uncovers new details: answers can uncover unknown issues or new solutions as you learn more about your topic 
• Doesn’t generate  measurable data: as noted with qualitative surveys, the data is not quantifiable
• Answers the “why”: unlike quantitative research methods seeks to answer why something happened or the motivation behind a behavior

Descriptive research

Descriptive research is the most common and conclusive form of survey research due to its quantitative nature. Unlike exploratory research methods, descriptive research  utilizes pre-planned, structured surveys with closed-ended questions. It’s also deductive, meaning that the survey structure and questions are determined beforehand based on existing theories or areas of inquiry. The data gathered is then used to test hypotheses or assumptions. The goal of descriptive research is to quantify and categorize opinions, attitudes, or beliefs held by a particular population regarding a given subject. For example, a descriptive survey may use multiple choice questions with predefined response options. While not providing the depth of qualitative insights, these standardized questions yield data that can be statistically analyzed and inferred upon. 

Grouping responses into set categories enables you to measure the prevalence of certain opinions or behaviors of your target audience. It also allows for comparison over time to identify shifts in attitudes and trends.

Send your survey to a large or small group of people with SurveyMonkey Audience .

The following are the key traits of descriptive research:

• Focuses on the “what” not “why”: unlike exploratory research, descriptive research seeks to define a target audience’s attitudes, opinions, and behaviors. 
• Quantitative: resulting data is numerical and can be statistically analyzed to identify patterns, averages, and correlations for quantitative insights. 
• Conclusive:  utilizes quantitative, closed-ended questions that generate numerical data to draw statistically significant conclusions. 
• Significant: measures the significance of results to determine patterns and trends.

Causal research

Causal research is also quantitative, pre-planned, and structured like descriptive research. For this reason, it is also considered conclusive. However, causal research goes beyond observation to determine the cause and effect relationship between variables. While descriptive research observes and quantifies phenomena, causal research actively manipulates variables through experimentation to test hypotheses about causal effects. For example, a causal survey might compare control and test groups to evaluate the impact of different interventions. The objectives of causal research are two-fold:

• To establish connection between variables through quantitative data analysis.
• To determine whether a causal relationship exists by intentionally modifying variables and measuring results.

The following are the key characteristics of causal research:

• Conclusive: research is structured in design, preplanning, and quantitative in nature, allowing researchers to make definitive statements about causal relationships. 
• Scientific: the goal of identifying cause and effect relationships make causal research more scientific than exploratory or descriptive research.
• Controlled: control for confounding factors by holding all other variables constant to isolate the effects of the variable being tested. 
• Ordered: to establish causation, the cause must be proven to precede the proposed effect.
• Exploratory research applications include case studies, field observations, focus groups, and interviews.
• Descriptive research applications include descriptive surveys, descriptive-normative surveys, descriptive analysis surveys, and correlative surveys.
• Causal research applications include product testing, advertising improvements, customer retention efforts, and community needs.

What formats can research surveys take?

There are three main formats that research surveys can take: online, on the phone, and in-person. Let’s look closer at each of these formats to determine which is right for your research.

Online surveys

Online surveys are the most common form of survey used today. This low-cost survey format is the easiest way to reach a group of people—especially larger audiences. A variety of organizations, including educational institutions, businesses, healthcare organizations, marketing agencies, and more use online surveys.

The benefits of using online surveys:

• Accurate results: Online surveys have a very low margin of error because they are extremely convenient for most people to complete. 
• Human error is minimized:: When you’re ready to analyze the data, a survey platform can perform complex calculations for you.
• Respondents are anonymous : Online surveys are generally anonymous, meaning they are more comfortable to say exactly what they want without penalty. 
• Large audiences are accessible: Online surveys allow you to reach a global audience. For example, with SurveyMonkey Audience , you can reach your target market with up to 5,000 complete responses.
• Flexibility: Online survey technology allows researchers to use skip logic based on a participant’s answer to a question. With this feature, the survey is tailored to each person as they proceed through the questions.
• Quickstart templates: SurveyMonkey offers many free, customizable survey templates to help you get your survey ready quickly—add branding such as logos, images, fonts, etc.

Related: 10 tips to improve your online surveys

Phone surveys

Once a very popular method of gathering information, the use of phone surveys has declined with the rise of digital surveys and the fading use of landline phones among most households. 

Phone surveys provide a way to reach a large sample economically compared to in-person methods. However, they do require significant time and staffing to administer.  

Key downsides of phone surveys include the risk of human error, specifically skewed data due to  transcription errors; as well as less candid feedback since respondents speak directly to the interviewer.

In-person surveys

Face-to-face interviews can yield rich, detailed insights through direct conversation and observation, but they tend to be prohibitively expensive for large samples. Survey interviewers must be fully trained to obtain high-quality data that takes advantage of this format. For example, they must recognize and note body language cues, ask relevant follow-up questions, and probe for more information when necessary. In addition, there is also the risk of multiple types of survey bias with in-person interviews— read more about them here .

Research surveys are valuable for gaining insights that inform decisions and strategy. For example, a restaurant owner may survey customers to improve service. A political campaign could poll constituents to sharpen messaging. Or a software company might seek feedback from users to guide product development. Regardless of the end goals, there are four main reasons for conducting research surveys.

• Surveys provide hard numbers: When you administer a survey that yields quantitative data, you can gain hard numbers to back up your decisions. Hard numbers are also useful when bringing research to stakeholders for decision-making—if you can prove that customers prefer one product feature over another through quantifiable data, it’s more powerful.
• Surveys provide ongoing benchmarks: Data patterns that point to trends are incredibly powerful when identified in your research, as opposed to data about what your customers want. Consider the Net Promoter Score® (NPS), which gives you an idea of where your company loyalty stands. If you repeat the NPS quarterly and notice that the scores are declining, you can then take action to investigate and fix the problem.
• Surveys can reach large audiences: Larger audiences are necessary for research validity and generalizations for a particular population in some cases. Online surveys created and administered with platforms like SurveyMonkey are much more convenient for large groups, as they are mobile responsive. 
• Survey anonymity promotes candid feedback: Online surveys allow participants to remain anonymous, encouraging open and honest opinions. Anonymity removes barriers, allowing people to provide more truthful, candid responses without fear of judgment.

Before creating your survey, clearly define your research goals and target audience. Consider timing, length, structure, question wording, and incentives to optimize responses. To gather high-quality, actionable data, here are a few survey design tips to help you start designing your survey. 

Related: Surveys 101

• Develop research questions that relate to your goals. Remove any unnecessary or redundant questions that don't provide useful insights.
• Organize the survey logically, starting with easy and non-sensitive questions before moving to more complex or personal ones.
• Keep language simple, avoiding technical jargon or complicated phrasing that may confuse participants.
• Limit survey length and fatigue where possible to maintain participant engagement.
• Entice participation with incentives like discounts, points, or gift cards as a thank-you for responding.
• Test the survey before launch to refine questions and overall flow based on feedback.

Ready to start researching?

Leveraging the right mix of exploratory, descriptive, and causal research is key to meeting your survey objectives, whether for business, academic, or other needs.Ensuring your research plan includes the right types of surveys will set you up for success. The combination of quantitative and qualitative data gathered through well-designed survey research will provide the level of actionable insights you need to inform smart strategy and decision making. 

Get started today. And if you need help acquiring survey respondents, visit SurveyMonkey Audience or choose the plan that best suits your research needs!

Net Promoter®, NPS®, NPS Prism®, and the NPS-related emoticons are registered trademarks of Bain & Company, Inc., Satmetrix Systems, Inc., and Fred Reichheld. Net Promoter Score℠ and Net Promoter System℠ are service marks of Bain & Company, Inc., Satmetrix Systems, Inc., and Fred Reichheld.

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Why use surveys?

Survey research methods.

• Conducting market research surveys
• Common mistakes with market research surveys?

The different types of survey methods

Survey tools for your survey method, what can businesses do with these types of surveys, how to write a research survey (free example templates), try qualtrics for free, types of market research surveys.

20 min read There are different types of survey research you can run, but the majority of research is conducted with just a handful of research survey methods. We explore what they are and how to use them.

What is a market research survey?

A market research survey is a way of getting feedback directly from the people who have the ultimate say in your organization’s success: your customers.

Unlike focus groups or interviews, market research surveys allow you to get detailed feedback at scale — from behaviors to overall experiences — and in a standardized format. Also, as the data is easy to process, you can quickly turn it into actionable insights .

Surveys are used to collect primary research, which means market research data that you collect yourself. The other type is secondary data, which is obtained from other sources, for example census data.

Surveys are among the most popular methods of primary market research, since they can be used to gather qualitative and quantitative research on market trends, and they can cover a huge range of respondents across your customer base. They’re also a format familiar to many people.

Get started with our free survey software

Surveys are ultimately about understanding your target audience, but they can go beyond your customer base. They can be taken by anyone — employees, potential future customers, and even those who don’t want to engage with your business (helping you to identify the ones that do).

However, a survey isn’t a stand-alone solution. It can work alongside other survey methods, such as focus groups, field studies, observation, and market analysis, to help you get a clear picture of your market and decide what direction to take.

But with all these different types of survey methods, and some being better than others in specific areas (e.g. data quality, collecting feedback), where should you start?

To get the best out of each survey research type, consider what you can invest in terms of:

• Time: How quickly do you need the survey research? Do you have time to conduct research?
• Money: Do you have the budget to invest in research overheads?
• Knowledge of analytics: Are you trained to interpret the collected data? If not, do you have a partner you can work with to get the insights you need?
• Research expertise: Do you have clearly defined problems or challenges that you want to explore or understand through surveys?
• Technology capability: Is your survey software up to the task of analyzing the data?
• Your audience’s response: Is it likely that your audience will respond? What survey types (online surveys, etc.) would they be most receptive to?
• Slow responses: Do you have a strategy in place to avoid low response rates?

Conducting market research surveys: best practices

Today’s market research industry is advancing rapidly, thanks in part to new technologies which make it easier to conduct market research, and offer more power and sophistication when it comes to analyzing your data.

Data-driven research is the standard across market research and other disciplines, and within the sector competition between brands is driving progress towards better and better market research tools. Beyond customer satisfaction, demographic questions and competitive analysis, today’s tools can dive deeper into your data, unearthing key drivers behind trends and even providing aggregated data on emotions and attitudes in customer feedback.

However, none of these technological advances can replace humans. To conduct market research successfully, you need to be able to combine tech with insight, intelligence and intuition, especially when you’re dealing directly with target customers, for example during a phone interview or when you’re approaching existing customers whose relationship to your brand needs to be maintained.

As we’ll see in this guide, market research can be used in a huge range of contexts, including brand tracking, customer experience research, employee experience programs, and of course product development. Whichever application you’re looking at, it’s essential to prepare thoroughly before sending out your surveys.

• Make sure your research question has been formulated and agreed by everyone involved in the project
• Develop a communications plan to maximize the chances of people engaging with your survey, including introductions, publicity, reminders and follow-up
• Consider using pre-testing before you fully launch your survey to thoroughly road-test it and iron out any issues
• Close the loop – after the study is complete and actions have been taken, let participations know how their contribution helped
• Consider a research panel for future surveys, either one you’ve built yourself or one managed by a third party provider

What are some common mistakes with market research surveys?

With the right survey tools and appropriate support from your survey platform provider, everything should go smoothly, even if you’re not an expert at doing your own market research. However, there are a few things to watch out for.

Choosing the wrong people to survey

Figuring out who you’re going to survey in the first place may seem like an obvious first step and not one you need to spend much time on. But in fact it’s possible to get it wrong, survey the wrong people and end up running a market research study with unreliable data. This is sometimes called ‘sample framing error’

Getting your sample size wrong

If your sample is too small, you run the risk of getting a sample group that doesn’t adequately reflect your target population. This can throw your entire market research survey off course. But if the sample is too large, you spend time and money on research that doesn’t add significant value. Have a look at our sample size calculator to help determine the right sample size for your market research surveys.

Using the wrong kinds of analysis

Do you know your conjoint analysis from your T-test? Understanding the basic types of statistical tests you can use to analyze market research survey data is essential if you’re not using a survey tool with built-in analytics. You’ll need to match the kind of data you’re collecting to the analysis method you choose in order to get accurate insights from your market research surveys.

Writing confusing survey questions

Survey questions aren’t like the questions we use in everyday speech, or even like the ones we ask in formal writing. They need to be highly specific, include appropriate context, and be free of any kind of descriptive or persuasive element that might introduce bias. For a primer on writing great market research survey questions, see our guide to great survey questions

You should choose your survey method based on your target audience, distribution capabilities, and the questions you want answered. For example, interviews are far more personal and explorative by nature, but they’re difficult and costly to scale. Online surveys, on the other hand, have far greater reach and much more affordable — but you lose the opportunity to connect with respondents. Let’s go through the different types and how you can use them.

Online surveys

Online surveys are accessible to any participant across the globe, providing they have an internet connection. You can create online surveys using survey platforms and distribute them via email using a link, or respondents can go directly to the online survey and complete it.

Paper surveys

Paper surveys (or written surveys) are printed surveys filled in by hand. This method works well if respondents have enough time (and incentive) to complete the survey, and the researcher is happy to manually collect the data before collating and interpreting the answers.

Mail surveys

Mail surveys provide exceptional geographical coverage as they can be printed off and sent via the post. However, as recipients need to return the surveys for counting, it’s recommended that you include a pre-paid returns envelope in the original envelope, otherwise you’ll have lower response rates.

Telephone surveys

Telephone surveys involve asking respondents a series of questions over the phone. It’s a popular survey method as it’s convenient for researchers and doesn’t require a lot of capital to do. However, researchers may need to invest time to set up interviews with participants and take notes during the process.

In-person interviews / face-to-face surveys

In-person interviews and face-to-face surveys are great opportunities to get more insightful and valuable responses from participants. You can quickly find out why they think and feel the way that they do, providing an unbiased view of a subject or issue. However, like telephone surveys, they require a lot of time to set up and gather data.

Panel surveys

Panel surveys use a pre-selected group of people as the sample, so that the research can be carried out quickly. It presents a happy medium between the speed and quality of research data.

Based on the type of survey method you choose, here are the types of tools you need and can use for each:

A good internet connection is required for participants to access online surveys, though mobile devices data plans mean that most people can connect to the internet easily.

A good survey software platform is needed to give you full functionality and flexibility, so your online surveys can be customized and optimized. However, businesses can get more for their money with a survey software system that does more for the company.

For example, the Qualtrics XM Platform™ is a best-of-breed experience operating system for experience management. It brings all your operational and experience data together from across the organization to help create and improve experiences for employees, customers, prospects and more. It automatically updates records, has an in-built analytics engine and can handle research projects, from start to finish, in a few clicks.

All you need are paper, ink, pens and clipboards — but due to environmental and sustainability concerns, particularly paper waste and ink pollution, you may want to opt for a more digitized solution.

For mail surveys, the resources and concerns are the same as with paper surveys — but the main difference is distribution.

Ultimately, you need a reliable postal service that can deliver to your target audience. It also becomes costly if you want to include international respondents.

As long as you have good connectivity and network coverage, telephone surveys are straightforward. That said, survey calls can last a long time, so if you plan to include international audiences, ensure you can afford the calling costs.

The only requirement for in-person interviews and face-to-face surveys is a venue to hold them in.

These require participants to be available at the time of the research. Traditionally, third-party generated research panels are available as a service to companies that don’t have access to the audiences they need.

The surveys we explored can be used for four purposes in any business:

1. Market surveys

These help you understand who’s out there, what they want, and how you can best meet their needs.

Market description surveys

Purpose: to determine the size and relative market share of the market. Such studies provide key information about market growth, competitive positioning, and tracking share of the market .

Market profiling / segmentation surveys

Purpose: to identify who the customers are , who they are not, and why they are or are not your customers. This is often a descriptive market segmentation and market share analysis.

Stage in the purchase process / tracking surveys

Where is the customer in the adoption process? This information shows Market Awareness – Knowledge – Intention – Trial – Purchase – Repurchase of the product.

2.   Customer experience surveys

This kind of survey helps you put yourself in the customer’s shoes and look at your business from their perspective.

Customer intention – purchase analysis surveys

Purpose: Directed at understanding the current customer. What motivates the customer to move from interest in the product to actual purchase? This is key to understanding customer conversion, commitment, and loyalty .

Customer attitudes and expectations surveys

Purpose: Used to direct advertising and improve customer conversion, commitment, and loyalty. Does the product meet customer expectations ? What attitudes have customers formed about the product and/or company?

Learn how you can set up and run customer attitudes and use surveys

Sales lead generation surveys

Purpose: Sales lead generation surveys are for

• assuring timely use and follow-up of sales leads
• qualifying sales leads (thereby saving valuable sales force time)
• providing more effective tracking of sales leads

Customer trust / loyalty / retention analysis surveys

Purpose: Especially helpful for high-priced consumer goods with a long decision and purchase processes (time from need recognition to purchase), this type of study explores the depth of consumer attitudes formed about the product and/or company.

Salesforce effectiveness surveys

Purpose: A combination of measures that focus on the sales activities, performance, and effectiveness in producing the desired and measurable effect or goal. Often measured as a 360-degree survey completed by the salesperson, the client (evaluating the sales call), and the supervisor responsible for evaluating the salesperson.

Customer service surveys

Purpose: Akin to customer satisfaction surveys, customer service surveys instead focus in detail on the actual customer service that was received, the process involved in receiving that service, and the evaluation of the participants in the service process.

Customer service representative (CSR) surveys

Purpose: CSRs often exhibit frustration, burnout, and high turnover . Surveys focus on CSR retention, reducing costs, and increasing the quality of customer relationships.

Attitudes, burnout, turnover, and retention: CSRs hold attitudes that reflect on their job-related activities including:

• the allocation of time
• solutions to customer needs
• how to improve their job
• best practices
• how well internal departments help customers

3. Product surveys

As part of product development, surveys help you find out what features, benefits and attributes appeal most to your customers, and how best to package your product, experience or service.

New product, service or experience concept analysis surveys

Purpose: Concept test studies are appropriate in the initial screening of new product concepts . Likes and dislikes about the concept and evaluation of acceptability and likelihood of purchase are especially useful measures.

Concept optimization, demand estimation, and cost analysis surveys (conjoint analysis)

Purpose: Determines an optimal bundle of features and benefits, and estimates associated demand. This kind of survey develops market share estimates of market potential for the alternative potential products.

Habits and practices, or attitude and usage surveys

Purpose: Directed at understanding usage situations, including how, when, and where the product is used. Habits and practices studies sometimes include a real or virtual pantry audit. Attitude and usage studies are used to understand consumer attitudes towards the product category and to life in general. They also look at product and brand usage, including how, when and where the product is used.

Product satisfaction surveys (attribute, features, promised benefits)

Purpose: Evaluation of the product’s promised bundle of benefits (both tangible and image). Are expectations created for the product by advertising, packaging , and the product appearance fulfilled by the product?

Competitive benchmarking surveys

Purpose: A “best practices” study of “how does the market view us relative to the competition?” Competitive positioning analyses often compare the attributes and benefits that make up the product using multidimensional scaling. These analyses also include an evaluation of key competitors, looking at the same KPIs and attributes as product satisfaction surveys.

Sales forecasting and market tracking surveys

Purpose: Sales forecasting and market tracking studies can include expert opinion (experts estimate the market), judgmental bootstrapping (expert-based rules describing how to use available secondary market information), conjoint analysis (estimation of consumer intentions based on product attributes that are important in the decision), and intentions evaluations (consumer self-reported intentions of future purchases).

Price setting surveys and elasticity of demand analysis

Purpose: Price surveys estimate the elasticity of demand and show optimal price points, including prices too low or too high. Price surveys may estimate the demand for different product or service segments, or different usage situations.

4. Brand surveys

A survey can help you understand how consumers perceive your brand and what values and ideas they associate with it. You can explore what value your brand has and whether people would choose you over competitors in your market niche.

Brand equity analysis surveys

Purpose: What is the psychological value that a brand holds in the marketplace? Brand equity is a composite of brand awareness , brand quality, brand associations, and brand loyalty measures.

Advertising value identification and analysis surveys

Purpose: Advertising value analysis focuses on mapping the hierarchical attributes, benefits, and values that are associated with and portrayed by an advertisement. Means-end analysis is often part of this type of study.

Advertising message effectiveness surveys (media and message)

Purpose: Message effectiveness testing identifies the impressions, feelings, and effectiveness in moving the respondent to a desired goal (increased awareness, more product information, trial, repeat purchase).

Once you know the right type of survey to run, the next step is to write a survey that your respondents will love to take!

Survey methods can be used to help collect data on real business issues and help you answer questions. Qualtrics supports customer surveys on every channel, at every journey stage to get you answers for more informed decisions.

We’ve put together a range of survey example templates that you can use for free to help you get started:

• Employee satisfaction survey template
• Employee exit survey template
• Customer satisfaction (CSAT) survey template
• Ad testing survey template
• Brand awareness survey template
• Product pricing survey template
• Product research survey template
• Employee engagement survey template
• Customer service survey template
• NPS survey template
• Product package testing survey template
• Product features prioritization survey template

In addition, for large-scale research studies, Qualtrics offers market research services to help with everything from questionnaire design and survey methods, to implementation and analysis.

Related resources

Post event survey questions 10 min read, best survey software 16 min read, close-ended questions 7 min read, survey vs questionnaire 12 min read, response bias 13 min read, double barreled question 11 min read, likert scales 14 min read, request demo.

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• Survey Research: Types, Examples & Methods

Surveys have been proven to be one of the most effective methods of conducting research. They help you to gather relevant data from a large audience, which helps you to arrive at a valid and objective conclusion. 

Just like other research methods, survey research had to be conducted the right way to be effective. In this article, we’ll dive into the nitty-gritty of survey research and show you how to get the most out of it. 

What is Survey Research? 

Survey research is simply a systematic investigation conducted via a survey. In other words, it is a type of research carried out by administering surveys to respondents. 

Surveys already serve as a great method of opinion sampling and finding out what people think about different contexts and situations. Applying this to research means you can gather first-hand information from persons affected by specific contexts. 

Survey research proves useful in numerous primary research scenarios. Consider the case whereby a restaurant wants to gather feedback from its customers on its new signatory dish. A good way to do this is to conduct survey research on a defined customer demographic. 

By doing this, the restaurant is better able to gather primary data from the customers (respondents) with regards to what they think and feel about the new dish across multiple facets. This means they’d have more valid and objective information to work with. 

Why Conduct Survey Research?  

One of the strongest arguments for survey research is that it helps you gather the most authentic data sets in the systematic investigation. Survey research is a gateway to collecting specific information from defined respondents, first-hand.  

Surveys combine different question types that make it easy for you to collect numerous information from respondents. When you come across a questionnaire for survey research, you’re likely to see a neat blend of close-ended and open-ended questions, together with other survey response scale questions. 

Apart from what we’ve discussed so far, here are some other reasons why survey research is important: 

• It gives you insights into respondents’ behaviors and preferences which is valid in any systematic investigation.
• Many times, survey research is structured in an interactive manner which makes it easier for respondents to communicate their thoughts and experiences. 
• It allows you to gather important data that proves useful for product improvement; especially in market research. 

Characteristics of Survey Research

• Usage : Survey research is mostly deployed in the field of social science; especially to gather information about human behavior in different social contexts. 
• Systematic : Like other research methods, survey research is systematic. This means that it is usually conducted in line with empirical methods and follows specific processes.
• Replicable : In survey research, applying the same methods often translates to achieving similar results. 
• Types : Survey research can be conducted using forms (offline and online) or via structured, semi-structured, and unstructured interviews . 
• Data : The data gathered from survey research is mostly quantitative; although it can be qualitative. 
• Impartial Sampling : The data sample in survey research is random and not subject to unavoidable biases.
• Ecological Validity : Survey research often makes use of data samples obtained from real-world occurrences. 

Types of Survey Research

Survey research can be subdivided into different types based on its objectives, data source, and methodology. 

Types of Survey Research Based on Objective

• Exploratory Survey Research

Exploratory survey research is aimed at finding out more about the research context. Here, the survey research pays attention to discovering new ideas and insights about the research subject(s) or contexts. 

Exploratory survey research is usually made up of open-ended questions that allow respondents to fully communicate their thoughts and varying perspectives on the subject matter. In many cases, systematic investigation kicks off with an exploratory research survey. 

• Predictive Survey Research

This type of research is also referred to as causal survey research because it pays attention to the causative relationship between the variables in the survey research. In other words, predictive survey research pays attention to existing patterns to explain the relationship between two variables. 

It can also be referred to as conclusive research because it allows you to identify causal variables and resultant variables; that is cause and effect. Predictive variables allow you to determine the nature of the relationship between the causal variables and the effect to be predicted. 

• Descriptive Survey Research

Unlike predictive research, descriptive survey research is largely observational. It is ideal for quantitative research because it helps you to gather numeric data. 

The questions listed in descriptive survey research help you to uncover new insights into the actions, thoughts, and feelings of survey respondents. With this data, you can know the extent to which different conditions can be obtained among these subjects. 

Types of Survey Research Based on Data Source

• Secondary Data

Survey research can be designed to collect and process secondary data. Secondary data is a type of data that has been collected from primary sources in the past and is readily available for use. It is the type of data that is already existing.

Since secondary data is gathered from third-party sources, it is mostly generic, unlike primary data that is specific to the research context. Common sources of secondary data in survey research include books, data collected through other surveys, online data, data from government archives, and libraries. 

• Primary Data

This is the type of research data that is collected directly; that is, data collected from first-hand sources. Primary data is usually tailored to a specific research context so that reflects the aims and objectives of the systematic investigation.

One of the strongest points of primary data over its secondary counterpart is validity. Because it is collected directly from first-hand sources, primary data typically results in objective research findings. 

You can collect primary data via interviews, surveys, and questionnaires, and observation methods. 

Types of Survey Research Based on Methodology

• Quantitative Research

Quantitative research is a common research method that is used to gather numerical data in a systematic investigation. It is often deployed in research contexts that require statistical information to arrive at valid results such as in social science or science. 

For instance, as an organization looking to find out how many persons are using your product in a particular location, you can administer survey research to collect useful quantitative data. Other quantitative research methods include polls, face-to-face interviews, and systematic observation. 

• Qualitative Research

This is a method of systematic investigation that is used to collect non-numerical data from research participants. In other words, it is a research method that allows you to gather open-ended information from your target audience. 

Typically, organizations deploy qualitative research methods when they need to gather descriptive data from their customers; for example, when they need to collect customer feedback in product evaluation. Qualitative research methods include one-on-one interviews, observation, case studies, and focus groups. 

Survey Research Scales

• Nominal Scale

This is a type of survey research scale that uses numbers to label the different answer options in a survey. On a nominal scale , the numbers have no value in themselves; they simply serve as labels for qualitative variables in the survey. 

In cases where a nominal scale is used for identification, there is typically a specific one-on-one relationship between the numeric value and the variable it represents. On the other hand, when the variable is used for classification, then each number on the scale serves as a label or a tag. 

Examples of Nominal Scale in Survey Research 

1. How would you describe your complexion? 

2. Have you used this product?

• Ordinal Scale

This is a type of variable measurement scale that arranges answer options in a specific ranking order without necessarily indicating the degree of variation between these options. Ordinal data is qualitative and can be named, ranked, or grouped. 

In an ordinal scale , the different properties of the variables are relatively unknown, and it also identifies, describes, and shows the rank of the different variables. With an ordered scale, it is easier for researchers to measure the degree of agreement and/or disagreement with different variables. 

With ordinal scales, you can measure non-numerical attributes such as the degree of happiness, agreement, or opposition of respondents in specific contexts. Using an ordinal scale makes it easy for you to compare variables and process survey responses accordingly. 

Examples of Ordinal Scale in Survey Research

1. How often do you use this product?

• Prefer not to say

2. How much do you agree with our new policies? 

• Totally agree
• Somewhat agree
• Totally disagree
• Interval Scale

This is a type of survey scale that is used to measure variables existing at equal intervals along a common scale. In some way, it combines the attributes of nominal and ordinal scales since it is used where there is order and there is a meaningful difference between 2 variables. 

With an interval scale, you can quantify the difference in value between two variables in survey research. In addition to this, you can carry out other mathematical processes like calculating the mean and median of research variables. 

Examples of Interval Scale in Survey Research

1. Our customer support team was very effective. 

• Completely agree
• Neither agree nor disagree
• Somewhat disagree
• Completely disagree 

2. I enjoyed using this product.

Another example of an interval scale can be seen in the Net Promoter Score.

• Ratio Scale

Just like the interval scale, the ratio scale is quantitative and it is used when you need to compare intervals or differences in survey research. It is the highest level of measurement and it is made up of bits and pieces of the other survey scales. 

One of the unique features of the ratio scale is it has a true zero and equal intervals between the variables on the scale. This zero indicates an absence of the variable being measured by the scale. Common occurrences of ratio scales can be seen with distance (length), area, and population measurement. 

Examples of Ratio Scale in Survey Research

1. How old are you?

• Below 18 years
• 41 and above

2. How many times do you shop in a week?

• Less than twice
• Three times
• More than four times

Uses of Survey Research

• Health Surveys

Survey research is used by health practitioners to gather useful data from patients in different medical and safety contexts. It helps you to gather primary and secondary data about medical conditions and risk factors of multiple diseases and infections. 

In addition to this, administering health surveys regularly helps you to monitor the overall health status of your population; whether in the workplace, school, or community. This kind of data can be used to help prevent outbreaks and minimize medical emergencies in these contexts. 

Survey research is also useful when conducting polls; whether online or offline. A poll is a data collection tool that helps you to gather public opinion about a particular subject from a well-defined research sample.

By administering survey research, you can gather valid data from a well-defined research sample, and utilize research findings for decision making. For example, during elections, individuals can be asked to choose their preferred leader via questionnaires administered as part of survey research.

• Customer Satisfaction

Customer satisfaction is one of the cores of every organization as it is directly concerned with how well your product or service meets the needs of your clients. Survey research is an effective way to measure customer satisfaction at different intervals. 

As a restaurant, for example, you can send out online surveys to customers immediately when they patronize your business. In these surveys, encourage them to provide feedback on their experience and to provide information on how your service delivery can be improved. 

Survey research makes data collection and analysis easy during a census. With an online survey tool like Formplus , you can seamlessly gather data during a census without moving from a spot. Formplus has multiple sharing options that help you collect information without stress. 

Survey Research Methods

Survey research can be done using different online and offline methods. Let’s examine a few of them here.

• Telephone Surveys

This is a means of conducting survey research via phone calls. In a telephone survey, the researcher places a call to the survey respondents and gathers information from them by asking questions about the research context under consideration. 

A telephone survey is a kind of simulation of the face-to-face survey experience since it involves discussing with respondents to gather and process valid data. However, major challenges with this method include the fact that it is expensive and time-consuming. 

• Online Surveys

An online survey is a data collection tool used to create and administer surveys and questionnaires using data tools like Formplus. Online surveys work better than paper forms and other offline survey methods because you can easily gather and process data from a large sample size with them. 

• Face-to-Face Interviews

Face-to-face interviews for survey research can be structured, semi-structured, or unstructured depending on the research context and the type of data you want to collect. If you want to gather qualitative data , then unstructured and semi-structured interviews are the way to go. 

On the other hand, if you want to collect quantifiable information from your research sample, conducting a structured interview is the best way to go. Face-to-face interviews can also be time-consuming and cost-intensive. Let’s mention here that face-to-face surveys are one of the most widely used methods of survey data collection. 

How to Conduct Research Surveys on Formplus 

With Formplus, you can create forms for survey research without any hassles. Follow this step-by-step guide to create and administer online surveys for research via Formplus. 

1. Sign up at www.formpl.us to create your Formplus account. If you already have a Formplus account, click here to log in.

5. Use the form customization options to change the appearance of your survey. You can add your organization’s logo to the survey, change the form font and layout, and insert preferred background images.

Advantages of Survey Research

• It is inexpensive – with survey research, you can avoid the cost of in-person interviews. It’s also easy to receive data as you can share your surveys online and get responses from a large demographic
• It is the fastest way to get a large amount of first-hand data
• Surveys allow you to compare the results you get through charts and graphs
• It is versatile as it can be used for any research topic
• Surveys are perfect for anonymous respondents in the research 

Disadvantages of Survey Research

• Some questions may not get answers
• People may understand survey questions differently
• It may not be the best option for respondents with visual or hearing impairments as well as a demographic with no literacy levels
• People can provide dishonest answers in a survey research

Conclusion 

In this article, we’ve discussed survey research extensively; touching on different important aspects of this concept. As a researcher, organization, individual, or student, it is important to understand how survey research works to utilize it effectively and get the most from this method of systematic investigation. 

As we’ve already stated, conducting survey research online is one of the most effective methods of data collection as it allows you to gather valid data from a large group of respondents. If you’re looking to kick off your survey research, you can start by signing up for a Formplus account here. 

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New EY US Consulting study: employees overwhelmingly expect empathy in the workplace, but many say it feels disingenuous

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The majority (86%) of employees believe empathetic leadership boosts morale while 87% of employees say empathy is essential to fostering an inclusive environment.

As many employees face downsizings, restructurings and a looming global recession, most say that empathic leadership is a desired attribute but feel it can be disingenuous when not paired with action, according to the 2023 Ernst & Young LLP ( EY US )  Empathy in Business Survey .

The study of more than 1,000 employed US workers examines how empathy affects leaders, employees, and operations in the workplace. The survey follows the initial EY Consulting analysis of empathy in 2021 and finds workers feel that mutual empathy between company leaders and employees leads to increased efficiency (88%), creativity (87%), job satisfaction (87%), idea sharing (86%), innovation (85%) and even company revenue (83%).

“A  transformation’s success  or failure is rooted in human emotions, and this research spotlights just how critical empathy is in leadership,” said  Raj Sharma , EY  Americas Consulting  Vice Chair. “Recent years taught us that leading with empathy is a soft and powerful trait that helps empower employers and employees to collaborate better, and ultimately create a culture of accountability.”

The evolving state of empathy in the workplace

There are many upsides to empathetic leadership in the workplace, including:

• Inspiring positive change within the workplace (87%)
• Mutual respect between employees and leaders (87%)
• Increased productivity among employees (85%)
• Reduced employee turnover (78%)

“Time and again we have found through our research that in order for businesses to successfully transform, they must put humans at the center with empathetic leadership to create transparency and provide employees with psychological safety,” said  Kim Billeter , EY Americas  People Advisory Services  Leader. “Empathy is a powerful force that must be embedded organically into every aspect of an organization, otherwise the inconsistency has a dramatic impact on the overall culture and authenticity of an organization.”

In fact, half (52%) of employees currently believe their company’s efforts to be empathetic toward employees are dishonest ― up from 46% in 2021, and employees increasingly report a lack of follow-through when it comes to company promises (47% compared to 42% in 2021).

To fulfill the authenticity equation, previous EY research indicates offering flexibility is essential. In the 2022 EY US Generation Survey, 92% of employees surveyed across all four workplace generations said that company culture has an impact on their decision to remain with their current  employer.

Lead with empathy  now  to combat the workplace challenges ahead

While leaders may experience lower employee attrition rates now when compared to the Great Resignation, a resurgence is brewing. Many economists expect a soft landing from the looming recession and with it may come turnover, particularly if employees already feel disconnected from their employer or from each other.

In fact, failing to feel a sense of belonging at work or connection with coworkers is a growing reason why employees quit their jobs. About half (50% and 48% in 2021) left a previous job because they didn’t feel like they belonged, and more employees now say they left a previous job because they had difficulty connecting with colleagues (42% vs. 37% in 2021).

“What happens outside of work has a direct impact on how people show up. It’s no longer enough for leaders to think of a person in one dimension – as an employee or as a professional within the organization,” said  Ginnie Carlier , EY Americas Vice Chair – Talent. “Leading with empathy helps move from the transactional and to the transformational Human Value Proposition, where people feel supported both personally and professionally.”

2023 EY Empathy in Business Survey methodology

EY US  commissioned a third-party vendor to conduct the 2023 EY Empathy in Business Survey, following the 2021 Empathy in Business Survey. The survey among 1,012 Americans who are employed, either full-time or part-time, was completed between October 23 and November 6, 2022. At the total level, the study has a margin of error of +/- 3 percentage points at the 95% confidence level.

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