Which label was unclear?
An unclear legend label identifies a series or category that readers cannot interpret confidently. Clarify the measured variable and actual category meaning.
Product and software research / Survey guide
Product and software research · Practical survey guide
Chart legend clarity survey
Improve interpretation of series and chart labels.
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ILLUSTRATIVE FINDING → ACTION
What people might say
Similar colors make two categories hard to distinguish.
What you could investigate
Add direct labels and accessible distinctions.
Synthetic scenario, not a customer result.
A useful starting point
Questions to understand the actual experience.
Improve interpretation of series and chart labels. Use the prompts relevant to your audience and allow people to skip situations they did not encounter. Keep response handling consistent with what you explain in the invitation.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate.
How did you connect colors to categories?
The color-category connection reveals whether readers can identify series through the legend and labels. Provide accurate additional identifiers where appropriate, without treating color differentiation alone as proof of accessible or correct interpretation.
What explanation was missing?
A missing explanation identifies the contextual link readers need between legend entries and the visual marks. Use accurate labels and additional identifiers rather than relying on color alone.
If nothing was unclear or difficult, say so. Skip questions about steps you did not experience; use not applicable where appropriate. Which label was unclear? How did you connect colors to categories? What explanation was missing?
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
Similar colors make two categories hard to distinguish.
Choose an action to test
Add direct labels and accessible distinctions.
Check the experience again
After trying the change, repeat “Which label was unclear?” with people who experienced it. Check whether they still describe the original issue: similar colors make two categories hard to distinguish. Compare explanations and sample context, rather than claiming the change caused an improvement.
Choose the response format
Make room for the explanation.
| Question | Suggested format | What to preserve |
|---|---|---|
| Which label was unclear? | Optional short text | Retain the specific point or condition described; avoid replacing it with an unexplained rating. |
| How did you connect colors to categories? | Optional written explanation | Keep context that distinguishes different experiences. Do not rely on color alone. |
| What explanation was missing? | Optional improvement suggestion | Keep the suggested change separate from whether it has been tested. Add direct labels and accessible distinctions. |
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 everything about chart legend clarity was clear and easy?
Which label was unclear?
The first wording combines an assumed positive outcome with two different judgments. The revised prompt asks about a specific experience and permits an inconvenient or uncertain answer.
From question to next step
Make the feedback useful.
Set the decision
Start with the decision: Improve interpretation of series and chart labels.
Invite relevant voices
Invite people with relevant experience. Ask after someone has encountered the situation described in “Which label was unclear?”, while they can still recall the details. For material testing, show the actual draft first; for planning, ask before the next relevant activity.
Choose an action
Add direct labels and accessible distinctions.
Read the answers carefully
Keep the conclusion within the evidence.
Do not rely on color alone.
Similar colors make two categories hard to distinguish. This is a synthetic example, not a customer result. Do not rely on color alone.
Before you send it
Questions, answered.
Who should receive this questionnaire?
Product users who attempted the described task. Ask only about steps each person encountered; do not treat a voluntary response sample as representative.
When should I ask these questions?
Ask after someone has encountered the situation described in “Which label was unclear?”, while they can still recall the details. For material testing, show the actual draft first; for planning, ask before the next relevant activity.
What should I investigate in the answers?
Similar colors make two categories hard to distinguish. This is an illustrative pattern to look for, not a claim about your respondents. Do not rely on color alone.
What would a practical follow-up look like?
Add direct labels and accessible distinctions. After trying the change, repeat “Which label was unclear?” with people who experienced it. Check whether they still describe the original issue: similar colors make two categories hard to distinguish. Compare explanations and sample context, rather than claiming the change caused an improvement.
How should I ask “How did you connect colors to categories?”?
The color-category connection reveals whether readers can identify series through the legend and labels. Provide accurate additional identifiers where appropriate, without treating color differentiation alone as proof of accessible or correct interpretation. Use an optional written explanation when predefined choices would hide relevant context.
Can I use the questions in SurveyTeams?
Copy the prompts or download TXT, CSV, JSON, or a Markdown worksheet, then adapt them in your own survey. The CTA opens registration; it does not import this example automatically. Verify available features in your account.
Build with SurveyTeams
Draft your own chart legend clarity questionnaire.
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
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