Questionnaire Design Process: Best Practices for Reliable Research Data
Two researchers ask the same sample of people to provide their level of satisfaction with their job. One questions, “Aren’t you saying that your work environment is supportive?” The other question is: “How supportive or unsupportive is your work? The first question gets people to agree and the second one doesn’t. Later analysis won’t fix that gap. That is why it is important for the instrument that you are using, to design the questionnaire, because the design of the instrument determines what you will get, and from there on, it depends on that.
This guide takes you through the process of questionnaire design step-by-step, illustrates questionnaire design differences for various types of research studies and concludes with a checklist of items to review prior to launch.
Questionnaire Design in Research: Why It Comes First
A questionnaire is a tool used to assess. Bias and incomplete responses can be caused by poor wording of the question, weak answers to the question, or a confusing order of the answer options; and no statistical method can correct them afterwards. It is, therefore, essential that good questionnaire design begin long before the first question is formulated and that a definite concept of what the study is seeking to learn is formulated. The sequence of this guide is illustrated in figure 1.
Figure 1: The six stages of the questionnaire design process.
Steps in Questionnaire Design: A Stage-by-Stage Table
The steps in questionnaire design are easier to manage when each stage has a clear output. The table sets out what to ask and what to have in hand before moving on.
| Stage | Main Question | What You Should Have at the End |
| Define | What exactly must be measured? | A short list of research questions and the variables they need |
| Draft | How should each variable be asked? | A first set of questions with response options |
| Order | In what sequence will respondents answer? | A flow with skip logic, grouped by topic |
| Review | Is every question clear and necessary? | A cleaned draft checked against a checklist |
| Pilot test | Do real respondents understand it? | A list of problems found and fixed |
| Launch | Is the data coming in as expected? | A live questionnaire with early checks of responses |
Stage 1: Define What You Need to Measure
Start your research objective, then make a list of the variables that you will need to answer that objective. Asking if they are satisfied with working remotely is a vague question. A focused one – such as satisfaction with schedule flexibility – can be analysed and acted upon.
If a question is not connected to a variable on your list, then it is unlikely that the question should be included in the questionnaire. Next, think about who will answer. Technical terms are not appropriate for general public. The question should be written in a way that will influence language, grade level and the means through which people will be able to access it.
Stage 2: Draft Questions and Response Options
Choose a question type that fits each variable. Many studies combine closed and open questions, using closed ones for comparison and open ones to capture reasons.
| Question Type | Best Used For | Watch Out For |
| Closed-ended | Counting and comparing answers | Missing options that force a wrong choice |
| Open-ended | Explanations in the respondent’s own words | Slow to code and analyse |
| Likert scale | Measuring agreement with a statement | Unbalanced or unlabelled points |
| Rating scale | Scoring satisfaction or quality | Scale length that changes between questions |
| Ranking | Putting a few items in order of priority | Long lists that tire respondents |
Response options need as much care as the questions. They should cover every likely answer, avoid overlapping ranges and, where scales are used, stay consistent from one question to the next.
Stage 3: Order the Questions and Add Skip Logic
Plan the questions for the questionnaire in a natural way. Classify topics, introduce simple and topical questions and progress from specific experience to general assessment. Wait for respondents to get comfortable before asking sensitive questions. The use of skip logic allows people to view only the questions relevant to them, thus streamlining the experience and eliminating irrelevant answers.
Stage 4: Review Wording and Length
Replace vague words with measurable ones. Asking whether someone exercises regularly leaves the meaning to the respondent, while asking on how many days in the last week removes the guesswork. Figure 2 shows three common problems and how to fix them.
Figure 2: Three common wording problems and their fixes.
Also cut any question that does not serve a required variable. A shorter questionnaire usually earns more complete answers.
Run the draft through this checklist:
- Objective. every question links to a research question.
- Neutral wording. nothing hints at the preferred answer.
- One idea per question. no double-barrelled questions.
- Complete options. choices are balanced and cover all likely answers.
- Length and flow. the order is logical and the length is reasonable.
- Skip logic and mobile use. routing works and the layout fits a phone screen.
Stage 5: Pilot Test Before Full Launch
One of the best phases in the process of developing a questionnaire is pilot testing. Share the draft with a small group, similar to your actual respondents. The goal isn’t just to ensure that the survey is running and working, but to verify whether the questions are being understood as intended by the person who created the survey. Include with them what they considered a question to be, what they stuttered on and if anything was missing. Record the time taken and if there was a technical problem, mark it down, revisit and, if there is a significant difference, repeat.
Stage 6: Launch and Monitor
Once launched, view initial responses, not the final ones. Many missing questions or consistent answers throughout a section may indicate a design issue which could be remedied in time. Technology can help with automated skip logic and real-time monitoring, but can’t save a poorly designed questionnaire when using these internet and mobile tools.
Common Mistakes in Questionnaire Design
Leading questions. They suggest the answer; rewrite them in neutral terms.
Double-barrelled questions. They ask two things at once; split them.
Ambiguous words. Terms such as often or recently mean different things to different people; replace them with measurable ones.
Incomplete options. Add an Other or Not applicable choice where needed.
Excessive length. Fatigue produces rushed answers; remove anything that is not required.
Matching Questionnaire Design to the Study
The right design would depend on what type of research it is. Sometimes academic research requires validated scales to be able to compare results with past studies; sometimes it requires short, direct questions, as is done in customer surveys. Healthcare and clinical research introduces topics that require sensitivity, clarity on definitions, and employee surveys require assurances of confidentiality. In both cases, design the questionnaire, but vary the wording, length and scales to fit the audience.
Simbi Labs’ Data Collection Support
A well-designed questionnaire still needs reliable fieldwork. Simbi Labs provides data collection services for research and business studies, including survey programming and field data collection, and statistical analysis once the data is ready. The team can also support digital collection through tools such as KoboToolbox.
Explore Data Collection Services
Frequently Asked Questions
1. What is the questionnaire design process?
It is the sequence of stages used to turn a research objective into a tested questionnaire: define, draft, order, review, pilot test and launch.
2. What are the main steps in questionnaire design?
The main steps in questionnaire design are defining what to measure, drafting questions and options, ordering them with skip logic, reviewing wording and length, pilot testing and launching with monitoring.
3. Why is questionnaire design in research so important?
Because the questionnaire determines data quality. Biased or unclear questions produce data that analysis cannot fully correct.
4. What is the process of questionnaire design for a pilot test?
Give the draft to a small group like your real respondents, ask what each question meant to them, record timing and technical problems, then revise before the full launch.
5. How long should a questionnaire be?
As short as the study allows. Keep only the questions that serve a required variable.