What did the gap mean to you?
Read for gap interpretation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score.
Product and software research / Survey guide
Product and software research · A focused questionnaire
Chart missing data survey
Clarify absent chart values.
Opens product registration. Example questions are not imported automatically.
WHAT TO READ · WHAT TO TEST
Observation
Missing values appear identical to zeros.
Interpretation boundary
Do not infer absence means poor performance.
Next experiment
Label absent data separately from zero.
Illustrative scenario. These are not real response counts or findings.
A useful starting point
Three questions for this specific decision.
Clarify absent chart values. These prompts examine gap interpretation, legend need, explanation. Choose only questions your audience can answer. A missing detail can be answered with none; do not assume an issue occurred.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate.
Which legend detail was missing?
Read for legend need. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score.
What explanation would help?
Read for explanation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate. What did the gap mean to you? Which legend detail was missing? What explanation would help?
Download the questions as text ↓
Examples to adapt, rather than a validated research instrument.
A worked interpretation example
From a comment to a practical next step.
Illustrative scenario. These are not customer results.
Keep the finding specific
Missing values appear identical to zeros.
Choose an action to test
Label absent data separately from zero.
Check the experience again
After testing this change—Label absent data separately from zero.—ask people who encountered the changed arrangement whether this original issue still occurred or did not occur: “Missing values appear identical to zeros.” Invite a concrete explanation, including none or not applicable. Compare participant context and sample differences; a before-and-after survey alone does not establish causation.
Choose the response format
Make room for the explanation.
| Question | Suggested format | What to preserve |
|---|---|---|
| What did the gap mean to you? | Optional free text; none or not applicable accepted | Read for gap interpretation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score. |
| Which legend detail was missing? | Optional free text; none or not applicable accepted | Read for legend need. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score. |
| What explanation would help? | Optional free text; none or not applicable accepted | Read for explanation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score. |
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.
Before you send it
Check what your wording assumes.
Would you agree that this entire experience was clear and easy?
What did the gap mean to you?
The first wording assumes a positive outcome and combines clarity with ease. The revised prompt asks about the concrete situation; respondents may report no difficulty.
From question to next step
Make the feedback useful.
Set the decision
Clarify absent chart values.
Invite relevant voices
Ask after an adult respondent has encountered this specific situation. For draft-copy testing, show the actual material first; accept none or not applicable when the issue did not occur.
Choose an action
Label absent data separately from zero.
Read the answers carefully
What these answers cannot establish.
Do not infer absence means poor performance.
Missing values appear identical to zeros. This is an illustrative pattern, not observed customer data. Do not infer absence means poor performance.
Before you send it
Questions, answered.
Who should answer?
Product users who attempted the specific interface or workflow task; use synthetic examples without private records. Ask only about the step each person actually encountered; voluntary responses are not automatically representative.
What does the first question help explain?
Read for gap interpretation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score. It supports this decision: Clarify absent chart values.
What should I preserve in the second answer?
Read for legend need. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score.
How should I read the third answer?
Read for explanation. Keep the specific explanation in the respondent’s own words rather than converting it into an unexplained overall satisfaction score. Do not infer absence means poor performance.
What would a practical follow-up look like?
Label absent data separately from zero. After testing this change—Label absent data separately from zero.—ask people who encountered the changed arrangement whether this original issue still occurred or did not occur: “Missing values appear identical to zeros.” Invite a concrete explanation, including none or not applicable. Compare participant context and sample differences; a before-and-after survey alone does not establish causation.
Can I load this automatically in SurveyTeams?
The page offers text, CSV, JSON and Markdown downloads plus manual copying. Registration does not import the questionnaire. Use account-supported features and verify your own response-handling arrangements.
Inside the product
Create a manual draft and check the questions
The real SurveyTeams screenshot shows a separate labelled synthetic event survey. It demonstrates the manual builder, not this questionnaire already loaded and not the task described in the software being evaluated.
- Start a draft with this decision in mind: Clarify absent chart values.
- Copy or select only applicable questions from this page. Add them as optional text prompts; the download is an editorial definition, not a product importer.
- Preview the respondent wording. Do not infer absence means poor performance. Explain your actual response handling before distribution.
Creation and preview were exercised in the observed account. Distribution, results and other features are separate workflows and depend on account conditions.
Build with SurveyTeams
Adapt these questions in your own survey.
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.
Create your survey in SurveyTeams
Opens product registration. Example questions are not imported automatically.
Learn about the product ↗Continue exploring