Copy-Ready Open-Ended Questionnaires for Real Research Projects

A useful qualitative questionnaire combines neutral, focused prompts with a clear analytical plan. The three examples below are ready to copy and adapt for service evaluation, remote work, or training evaluation. They are illustrative templates—not validated instruments or universally suitable questionnaires—and should be revised for the research aim, participants, setting, collection mode, and intended analysis.

Three complete qualitative questionnaire examples

Each questionnaire uses optional written cues to help self-completing respondents provide useful detail. These are not spontaneous interviewer probes: every respondent who sees an item should receive the same cue. Keep sensitive questions optional, and instruct respondents not to provide names, medical details, confidential material, unnecessary third-party information, or other identifying content.

Example 1: Service-evaluation questionnaire

Illustrative and adaptable; not validated or universally suitable.

Sequence	Analytical purpose	Question	Optional written cue
1	Prior expectations	Before using this service, what did you expect would happen?	You might describe what you hoped to receive or achieve.
2	Recent and concrete experience	Tell us about a recent experience of using this service.	You might describe a moment that worked particularly well or poorly, what happened, and why it mattered. Do not identify other people.
3	Barriers	Describe anything that made the service difficult to find, access, or use.	If you did not encounter a difficulty, you may leave this blank.
4	Enablers	What helped you access or use the service, and how did it help?	This could include information, processes, timing, or practical support.
5	Perceived effects	What effect, if any, did the service have for you?	You might describe what changed, what did not change, or any unexpected effect.
6	Improvement	What is the single most valuable improvement the service could make, and why?	Focus on the change you consider most important.
7	Closing	Is there anything important about your experience that these questions did not cover?	Do not include names or identifying details about other people.

The concrete-moment cue in item 2 helps elicit a bounded account without adding an eighth question. Effects and improvements remain separate because they serve different analytical purposes.

Example 2: Employee or remote-work questionnaire

Illustrative and adaptable; not validated or universally suitable.

Sequence	Analytical purpose	Question	Optional written cue
1	Context	Walk us through a typical recent day when you worked remotely.	You might describe where work happened, your main activities, and how the day was organized.
2	Rewards	What, if anything, has been rewarding or useful about remote work for you?	Please explain why it mattered.
3	Challenges	Tell us about a time when remote work was particularly difficult.	You might describe what happened, what contributed to it, and how you responded. If no example comes to mind, you may leave this blank.
4	Relationships—optional	How, if at all, has remote work affected your relationships with colleagues?	You may discuss communication, collaboration, inclusion, or informal contact without identifying anyone.
5	Management support—optional	If you have a manager, how, if at all, do they understand or support your remote-working circumstances?	You may describe helpful support, limited support, or the absence of support. Do not name individuals.
6	Desired change	What is one change that would most improve your remote-working experience, and why?	Consider working practices, communication, equipment, schedules, or support.
7	Closing	Is there an experience of remote work that you wanted to describe but have not yet covered?	Share only what you are comfortable providing.

Example 3: Training-evaluation questionnaire

Illustrative and adaptable; not validated or universally suitable.

Sequence	Analytical purpose	Question	Optional written cue
1	Baseline practice	Before the training, how did you usually approach the task or topic it covered?	Describe your usual practice rather than rating your knowledge.
2	Learning experience	Describe a part of the training that was especially useful, unclear, or memorable.	What happened, and why did it stand out?
3	Barriers	Describe what, if anything, made it difficult to participate in or apply the training.	If nothing made it difficult, you may leave this blank.
4	Enablers	What helped you participate or put the learning into practice, and how did it help?	Consider examples, feedback, resources, colleagues, or working conditions.
5	Behavioral outcome	Describe one thing you did differently at work because of this training.	What changed, in what situation, and what happened afterward? If nothing changed, please say so.
6	Improvement	What is one change that would most improve this training for future participants, and why?	Focus on the change you consider most valuable.

These questions elicit perceived experiences and self-reported changes. They do not, by themselves, demonstrate that training caused an outcome or that participants achieved an externally measured level of competence.

A question bank organized by analytical purpose

A qualitative questionnaire is a structured or semi-structured written instrument that primarily elicits narrative accounts of experiences, meanings, perceptions, motivations, beliefs, or processes. A questionnaire is the instrument containing the questions; a survey is the broader process of collecting, aggregating, and analyzing the resulting data, a distinction also made in the UK Government Analysis Function’s questionnaire-design guidance.

Choose prompts according to the evidence needed for analysis rather than copying every available question.

Purpose	Adaptable question	Evidence sought
Context	What circumstances shaped your experience of [topic]?	Relevant setting, conditions, and background
Experience	Tell me about a recent experience of [service or activity].	A first-person account of a bounded event
Descriptive	Describe a moment when [event] worked particularly well or poorly.	Actions, sequence, setting, and observable details
Interpretive	What did that experience mean to you at the time?	Personal meaning and significance
Comparative	In what ways, if any, did your experience differ between [context A] and [context B]?	Similarities, differences, and relevant conditions
Process	Walk me through what you did from [starting point] to [endpoint].	Stages, decisions, handoffs, and interruptions
Barrier	Describe what, if anything, made it difficult to participate.	Obstacles and how they operated
Enabler	What helped you take part, and how did it help?	Facilitators and their mechanisms
Outcome	What changed, if anything, after [experience or intervention]?	Perceived consequences without presuming change
Evaluative	Which part, if any, was most or least useful to you, and why?	A judgment supported by reasons
Scenario	Imagine [plausible situation]. What would you do, and why?	Anticipated reasoning, not observed behavior
Projective	Complete the sentence: “The most difficult thing about [topic] is…”	Associations or perspectives that may be difficult to elicit directly
Improvement	What is one change that would most improve this experience, and why?	A prioritized recommendation and rationale
Closing	Is there anything important that these questions did not cover?	Omitted topics and respondent-defined priorities

“Describe a moment…,” “Tell me about a time…,” and “Walk me through…” invite concrete accounts rather than detached opinions. They are not interchangeable: a process question seeks sequence, an interpretive question seeks meaning, and a comparative question requires two relevant conditions.

Open-text boxes alone do not establish qualitative rigor. The research aim, method, participant selection, instrument, analytical approach, interpretation, and claims must fit together. Peer-reviewed discussion of qualitative questionnaires as a research method similarly emphasizes methodological alignment and notes that written responses may be less layered than interview or focus-group data.

How to turn weak questions into useful narrative prompts

Editing should remove cues toward a preferred answer, separate concepts, define a useful reference point, and replace abstract requests for opinions with requests for examples.

Weak wording	Defect	Improved wording	Reason for the revision
Did the helpful training improve your confidence?	Leading and closed	How, if at all, did the training affect your confidence?	Removes positive framing and permits no change or a negative effect.
How satisfied were you with access and quality?	Double-barrelled	1. Describe your experience of accessing the service. 2. How would you describe the quality of the service you received?	Separates access from perceived quality.
Did you find the service difficult to use?	Closed	Describe any difficulties you encountered while using the service.	Invites an account rather than a yes-or-no response.
What do you think about remote work?	Vague and unbounded	Describe a recent remote-working day that illustrates what remote work is like for you.	Anchors the answer in a specific event.
How did the asynchronous collaboration architecture affect efficacy?	Jargon-heavy	How did working at different times affect your ability to complete the work?	Uses language more likely to be familiar to respondents.
What problems did you encounter?	Assumptive	If you encountered a problem, please describe what happened.	Does not presume that everyone had a problem.
Why was communication and management support poor?	Leading and double-barrelled	Describe your experience of communication. Separately: What support, if any, did you receive from management?	Removes the negative judgment and separates concepts.
Was onboarding quick?	Ambiguous	Walk me through your first week, from receiving access details to completing your first task.	Replaces an undefined judgment with a bounded process.

Apply four editing rules:

1. Use neutral, familiar language.
2. Ask about one concept at a time.
3. Specify a relevant period, situation, or event.
4. Invite concrete descriptions before asking for general interpretations.

After revising a question, read it as a skeptical respondent might. Check whether it assumes participation, success, failure, improvement, a shared definition, or access to information the respondent may not have.

When to use a questionnaire instead of interviews or focus groups

Choose the method according to the research aim and required depth—not convenience alone.

Method	Best suited to	Main strength	Main limitation
Self-completion qualitative questionnaire	Standardized written reflection across dispersed participants	Consistent prompts and easier comparison	No spontaneous follow-up or immediate clarification
Structured interview	Consistent questions delivered verbally	Standardization with some opportunity to clarify instructions	Limited flexibility and participant-led exploration
Semi-structured interview	Detailed individual experiences, decisions, or sensitive accounts	Flexible probing and clarification	Requires interviewer time, skill, and systematic documentation
Focus group	Shared practices, collective reflection, agreement, and disagreement	Interaction becomes part of the evidence	Group dynamics may inhibit disclosure or amplify dominant voices

Written questionnaires can reach geographically dispersed participants and give people time to formulate answers. They may also reduce pressure associated with a researcher’s presence. In settings with power imbalances, anonymity can be a possible advantage, but it does not guarantee candor or accuracy.

The central limitation is the absence of spontaneous probing. If a respondent writes “communication was difficult,” the researcher cannot immediately ask which communication, when it occurred, or what made it difficult. Interviews are preferable when immediate clarification, flexible follow-up, sensitive individual accounts, or layered narratives are essential.

Focus groups are appropriate when interaction itself matters—for example, when the study needs to examine how participants construct a shared explanation, challenge one another, or reveal disagreement. Local-government guidance on interviews and focus groups similarly distinguishes individual depth from evidence generated through group discussion.

Qualitative questionnaires and qualitative interviews should not, on their own, be used to estimate statistically representative population prevalence. If the question is “How many people experienced this?”, use an appropriate quantitative design and sampling strategy. If it is “How did people experience this, and why?”, a qualitative method may fit.

Map every question to a research aim

Gather analytical requirements before drafting individual questions. A research grid makes the logic visible and exposes questions that are interesting but unusable.

Research aim	Information needed	Questionnaire item	Response type and planned use
Understand barriers to service access	Recent access journey	Tell us about the most recent time you tried to access the service.	Event narrative: map stages and access points.
Understand barriers to service access	Obstacles and effects	Describe anything that made access difficult and what happened as a result.	Barrier account: code barrier type, mechanism, and consequence.
Understand barriers to service access	Respondent-prioritized solution	What is one change that would most improve access, and why?	Recommendation: compare proposed changes with identified barriers.
Understand perceived service effects	Changes attributed by respondents	What changed, if anything, after you used the service?	Outcome narrative: identify perceived effects and alternative explanations.
No stated aim	Favorite communication channel	Which social media platform do you use most?	Preference: remove because it has no planned analytical use.

The final row demonstrates a useful deletion. A question can be interesting and easy to answer yet still create unnecessary burden if it contributes to no research aim, sampling decision, routing requirement, or analysis.

A practical broad-to-specific order is:

1. accessible context;
2. concrete experience;
3. barriers;
4. enablers;
5. outcomes;
6. improvement;
7. final comments.

This is a pattern, not a universal sequence. A sensitive topic may require rapport-building context before personal detail, an early reminder that questions are optional, or routing that prevents irrelevant exposure. Question count should reflect the study’s scope, expected answer depth, administration mode, accessibility, participant capacity, and emotional burden—not a universal numerical rule.

Add an ethical, respondent-centered introduction

Use the following as an adaptable checklist, not as legally sufficient consent or privacy language:

• Purpose: What is the study trying to understand?
• Invitation: Why was this person invited?
• Time: How long is completion expected to take?
• Participation status: Is participation voluntary or required?
• Choice: Which questions may be skipped?
• Risks: What foreseeable inconvenience, discomfort, or emotional stress could occur?
• Data use: Who will analyze the responses, for what purpose, and how might findings or quotations be reported?
• Privacy: Is participation anonymous, confidential, or neither?
• Withdrawal: Until when and under what conditions can a response be withdrawn?
• Contact: How can respondents contact the researcher or appropriate oversight body?
• Disclosure warning: What information should respondents avoid entering?

Respondent-centered government guidance treats privacy, ethics, data use, burden, and collection mode as integral parts of questionnaire design.

Review the entire collection process before claiming anonymity, including account requirements and metadata—not just the visible questions. Consent, privacy, retention, and withdrawal requirements depend on the jurisdiction, institution, collection technology, and research context; generic wording is not legally sufficient everywhere.

Also assess contact frequency, completion length, required effort, readability, device and assistive-technology access, administration mode, and emotional burden. Place a clear instruction near unrestricted text fields:

Do not include unnecessary names, identifying details, confidential information, medical details, or information about third parties.

Pilot the questionnaire and test what respondents think it means

A pilot should test interpretation and use, not merely confirm that the form opens.

1. Recruit people sufficiently similar to the intended respondents, including relevant differences in language, accessibility needs, experience, and device use.
2. Ask them to complete the questionnaire in realistic conditions; observe completion where appropriate and consented.
3. Use retrospective cognitive and usability questions.
4. Review answers, skipped items, misunderstandings, navigation problems, and unwanted disclosures.
5. Revise wording, order, cues, layout, routing, or instructions.
6. Retest important changes, especially those affecting sensitive concepts or multiple questions.

Useful retrospective probes include:

• “What did this term mean to you?”
• “How did you decide what event to describe?”
• “What time period were you thinking about?”
• “Was any part difficult to answer?”
• “Did you feel that an important response or topic was missing?”
• “Did any question feel repetitive, intrusive, or unclear?”

Check comprehension, recall, judgment, emotional sensitivity, response formulation, missing topics, navigation, mobile display, accessibility, burden, and skipped questions.

A useful example comes from cognitive and usability work on the UK Labour Force Survey. Some participants interpreted “accident” to include mental-health incidents, while the relevant question block was intended to identify physical injuries. The revised sequence retained an initial accident question and followed it with: “Did this accident result in a physical injury?” The ONS case study of respondents’ mental models documents the interpretation problem and revision, but does not establish a measured reduction in errors or respondent burden.

The bounded lesson is that familiar words do not necessarily carry a shared meaning. Testing should investigate what respondents think a term includes, which memories they retrieve, and how they decide what belongs in an answer.

A small initial pilot may reveal obvious defects, but no fixed number proves that testing is sufficient.

Organize, code, and publish questionnaire examples safely

Plan the data structure before collection. Keep questionnaire documentation separate from response data so that wording, sequence, cues, and research aims remain traceable. Apply the storage, access, retention, and disclosure controls required by the relevant institution, jurisdiction, technology, and research context.

Because publication-ready schemas may require many fields, the following examples divide related fields into linked tables with no more than four columns each.

Question table

question_id	sequence	analytical_purpose	wording
SERVICE_EXP	2	Experience	Tell us about a recent experience of using this service.
SERVICE_BAR	3	Barrier	Describe anything that made the service difficult to find, access, or use.
SERVICE_IMP	6	Improvement	What is the single most valuable improvement the service could make, and why?

Question-design metadata

question_id	optional_cue	research_aim
SERVICE_EXP	Describe a moment that stood out and why it mattered.	Understand recent service experiences
SERVICE_BAR	Leave blank if you encountered no difficulty.	Understand barriers to access and use
SERVICE_IMP	Focus on the change you consider most important.	Identify prioritized improvements

The shared question_id connects wording to its design metadata. This structure helps teams review question-to-aim alignment, compare questionnaire versions, and document which wording produced each response.

For analysis, retain the original response according to the study’s approved data-handling arrangements and create a separate structured coding table. All entries below are synthetic.

Response-coding table

response_id	question_id	response_excerpt	code
SYN-001	SERVICE_BAR	“I could only call during my working hours.”	opening-hours conflict
SYN-001	SERVICE_IMP	“Offer an evening appointment once a week.”	extended availability
SYN-002	SERVICE_BAR	“I was unsure which form applied to me.”	unclear instructions

Interpretation and quotation log

response_id	theme	analyst_memo	quotation_status
SYN-001	Access constrained by service design	Barrier and proposed change concern service availability.	approved for internal reporting
SYN-001	Access constrained by service design	Recommendation directly addresses the coded barrier.	not reviewed
SYN-002	Information barriers	Wording suggests uncertainty rather than form unavailability.	do not quote

A practical thematic-analysis workflow is:

1. Become familiar with all responses and their questionnaire context.
2. Assign initial codes to relevant passages.
3. Develop candidate themes that explain meaningful patterns.
4. Review themes against coded excerpts and the wider response set.
5. Define and name each theme clearly.
6. Report the interpretation with contextualized quotations and contrary or varied cases.

Coding involves researcher interpretation. Keep memos about ambiguous passages, codebook revisions, disagreements, and quotation choices rather than presenting coding as automatic, objective, or judgment-free.

Theme frequencies may supplement interpretation—for example, by showing how often a code appeared within the collected responses—but they do not establish statistically representative prevalence. A common theme is not necessarily the most consequential one, and a rare account may expose a serious failure or distinctive mechanism.

A synthetic questionnaire template, public question bank, data dictionary, or already-public example dataset can be published through TablePage as a public interactive data page. TablePage pages are public: never use them to publish sensitive, confidential, identifiable, restricted, or otherwise non-public participant responses. Publish only synthetic materials or data already legitimately public, after checking that excerpts and combinations of fields do not identify participants.

Frequently asked questions

Can a qualitative questionnaire include rating-scale questions?

Yes. A qualitative questionnaire can include a small number of rating-scale or categorical questions when they serve a defined purpose, such as describing context or supporting comparison. Analyze scale responses quantitatively and narrative responses qualitatively; do not treat a score as a substitute for the respondent’s account.

A useful pairing is: “How easy or difficult was the service to access?” followed by “Please describe what made access easy or difficult.” The rating summarizes a judgment, while the open question explores its basis. The study’s rigor still depends on alignment among the research aim, instrument, participants, and analysis—not simply on the presence of open-ended questions.

Are these qualitative questionnaire examples validated instruments?

No. Every questionnaire and question bank in this article is illustrative and adaptable. None should be described as validated, standardized, reliable for a particular population, or suitable for clinical, educational, or employment decisions without an appropriate development and validation process.

Put the questionnaire into practice

Choose a questionnaire only when written reflection fits the research aim. Map every item to an analytical need, request concrete experiences in neutral language, test how intended respondents interpret the wording, and define the coding structure before collection.

You can copy these tables into a spreadsheet and adapt them to your project. If you publish a questionnaire template, question bank, data dictionary, or example dataset as a public interactive page, use only synthetic material or genuinely public, non-sensitive data.