What were you looking for?
Capture the sought item in the respondent's own words before judging search quality.
Product and software research · Practical field guide
Learn whether users can find the information they meant to find.
Opens product registration. Example questions are not imported automatically.
YOUR DRAFTING BRIEF
Draft a questionnaire to help with this goal: Learn whether users can find the information they meant to find. Include neutral questions and allow people to skip situations they did not experience. Do not assume: Do not assume zero-result searches are all misspellings.
An example brief you can adapt. This preview does not call an AI service.
Read the answers carefully
Do not assume zero-result searches are all misspellings.
Example search feedback shows that a result title matches the query but its content answers another need. This is an illustrative interpretation problem rather than a real customer result. Improve result labels and content mapping before assuming the search term is wrong.
A useful starting point
Learn whether users can find the information they meant to find. Choose the questions that fit the experience you are investigating; avoid asking people to evaluate a step they did not encounter.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate.
Capture the sought item in the respondent's own words before judging search quality.
Check usefulness for the original need; a result containing the searched words may still fail the task.
Collect alternative vocabulary without asking for confidential names, document contents, or personal identifiers.
Identify a mismatch between a promising title and the result so ranking and preview problems are distinguished.
Find decision information that belongs in the preview rather than simply making snippets longer.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate. What were you looking for? Did the results contain a useful answer? Which words would you use to describe the missing item? Which result title looked promising but was not useful? What information should a result preview include?
Download the questions as text ↓
Examples to adapt, rather than a validated research instrument.
A worked interpretation example
Illustrative scenario. These are not customer results.
Example search feedback shows that a result title matches the query but its content answers another need.
Improve result labels and content mapping before assuming the search term is wrong.
After testing the action, revisit this original observation: Example search feedback shows that a result title matches the query but its content answers another need. Repeat the relevant experience prompts with people who encountered the change. Compare specific explanations and sample differences; do not claim causation from the before-and-after responses.
Before you send it
Would you agree that website search experience was a completely positive experience?
What were you looking for?
The initial wording assumes a positive evaluation. The revised question asks about the actual situation so a respondent can describe difficulty, uncertainty, or a different experience.
Choose the response format
| Question | Suggested format | What to preserve |
|---|---|---|
| What were you looking for? | Short open text | Capture the sought item in the respondent's own words before judging search quality. |
| Did the results contain a useful answer? | Short open text | Check usefulness for the original need; a result containing the searched words may still fail the task. |
| Which words would you use to describe the missing item? | Short open text | Collect alternative vocabulary without asking for confidential names, document contents, or personal identifiers. |
| Which result title looked promising but was not useful? | Short open text | Identify a mismatch between a promising title and the result so ranking and preview problems are distinguished. |
| What information should a result preview include? | Short open text | Find decision information that belongs in the preview rather than simply making snippets longer. |
Make questions optional where appropriate. If you add a rating scale, label its endpoints, keep one idea per question, and retain a follow-up for reasons. These examples are not a validated measurement instrument.
Inside the product
Build questions around an experienced task, keeping reports of difficulty separate from feature preferences. The actual product screenshot shows a separate synthetic post-event demonstration; the example questions on this page are not already loaded in the product.
Screenshots demonstrate creation and preview. Distribution and results are separate steps; availability varies by account and plan.
Build with SurveyTeams
Use these examples to draft your questionnaire. Create a survey draft, add questions, and check the respondent preview in SurveyTeams. Additional features depend on your account and plan.
Opens product registration. Example questions are not imported automatically.
Learn about the product ↗From question to next step
Write down the decision you want this questionnaire to support: learn whether users can find the information they meant to find.
Invite people who experienced the relevant situation. Explain response handling and include an optional skip or not-applicable route. Do not assume zero-result searches are all misspellings.
Improve result labels and content mapping before assuming the search term is wrong.
Before you send it
Learn whether users can find the information they meant to find. Start with one decision you can act on rather than using the survey to confirm a preferred answer.
Check usefulness for the original need; a result containing the searched words may still fail the task.
Improve result labels and content mapping before assuming the search term is wrong. This is an example action to investigate, not a guaranteed improvement.
Ask after respondents have experienced the specific situation in the first prompt: “What were you looking for?” Allow enough time after a proposed change for people to experience it before repeating the questionnaire.
After testing the action, revisit this original observation: Example search feedback shows that a result title matches the query but its content answers another need. Repeat the relevant experience prompts with people who encountered the change. Compare specific explanations and sample differences; do not claim causation from the before-and-after responses.
Copy the questions or download TXT, CSV, JSON, or a Markdown worksheet and adapt them in your own survey. The product CTA opens registration and does not import the example. Verify the features and terms available in your account.
It shows a separate synthetic event-feedback example used to demonstrate the real builder. Copy or download the questions on this page and adapt them in your own draft. Registration does not import them automatically.
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