Design a survey that captures useful explanations, then turn the responses into findings you can check and use.
A qualitative survey collects people’s descriptions, explanations or experiences, usually through open-ended questions. It lets respondents answer in their own words. Unlike an interview, it normally offers limited opportunity to clarify an answer or ask a follow-up question.
Use it when you want accounts from people who can respond independently and when written responses fit their circumstances. It can reveal issues you did not anticipate. It is less suitable when the topic requires extensive probing, respondents face writing barriers or the context is too complex for a short form.
| You need to understand… | Consider… | Watch for… |
|---|---|---|
| Experiences across several locations | A short open-response survey | Differences in access and language. |
| A complex personal journey | An interview | Consent, privacy and interviewer skill. |
| How often an issue occurs | A suitable quantitative measure and sample | An open-response theme count is not automatically prevalence. |
| What people actually do | Observation or routine records | Self-report can differ from behavior. |
A survey can combine open and closed questions. The important point is how each answer contributes to the question you are investigating. See mixed method surveys.
| Part | Example | Purpose |
|---|---|---|
| Introduction | Explain the purpose, expected use and whether responding is optional. | Support an informed decision to participate. |
| Context | Which service or event are you describing? | Make the answer interpretable. |
| Experience | What happened when you tried to use the service? | Invite an account without assuming success. |
| Explanation | What made the process easier or harder? | Understand conditions around the experience. |
| Improvement | What would you change? | Identify practical suggestions. |
| Closing | What important detail have we not asked about? | Allow unanticipated information. |
Do not ask every possible question. Pilot the form with people similar to the intended respondents and check whether the answers are specific enough to use.
Define who should be included and why. A purposive sample may help explore different experiences; it should not be described as statistically representative unless the sampling supports that claim. Track invitations and responses where appropriate without compromising promised anonymity.
Consider who may be missing: people who left, could not access the service, use another language or cannot complete an online form. Offer an appropriate alternative when feasible. More responses from one convenient group do not necessarily solve a coverage problem.
AI can assist with organizing text, but check the categories and source passages. Translation, sarcasm and context can affect interpretation. Do not replace a participant’s meaning with a more convenient label.
In an illustrative survey, 40 people respond. Twenty mention delays and 12 mention unclear instructions; five mention both. These counts cannot be added to claim that 32 different people had problems. Nor do they establish the percentage of all service users affected.
A useful finding states the observed pattern, gives the response context and identifies what to investigate next. For example: “Delay was mentioned in 20 of 40 responses; we will compare these accounts with waiting-time records before changing the process.”
Describe who responded, when, how questions were asked and how coding was done. Include a few permission-appropriate excerpts to explain themes, with enough context to avoid changing their meaning. Keep dissenting evidence visible.
The King Center’s published story illustrates the value of making open-ended feedback usable rather than leaving it unread. It is a practice example, not proof that any one survey design produces better outcomes. Read the story.
It depends on the questions and analysis. A survey can collect either or both.
It depends on the purpose, diversity of experience and analysis plan. There is no universal qualitative survey sample size.
Yes, if the denominator and coding rules are clear. Avoid generalizing beyond the observed sample without a suitable design.
Only if the collection and analysis genuinely support it. Free text itself can contain identifying information.
