Q01
Message
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Error Message Clarity & Resolution UX Survey
Evaluates user comprehension, actionability, and satisfaction with error messages and troubleshooting flows. Designed for product and UX teams seeking to improve in-app error guidance based on recent user incidents within 30 days.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
17 questions · ~8 min
Q02
Multiple Choice
When did you most recently encounter an error or confusing message while using our product?
- Today
- In the last 3 days
- 4–7 days ago
- 8–14 days ago
- 15–30 days ago
- I have not seen any errors or confusing messages in the last 30 days
Q03
Multiple Choice
Which types of messages have you seen recently? Select all that apply.
- Error message
- Warning or alert
- Validation message (e.g., form field error)
- Empty state message
- Timeout or connection issue
- App crash report
- None of the above
Q04
Opinion Scale
Overall, how clear was the most recent error or message you saw?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q05
Multiple Choice
Which actions did you take after seeing the message? Select all that apply.
- Retried the action
- Corrected my input
- Used on-screen help or tips
- Visited Help Center or FAQ
- Contacted support
- Searched the web
- Refreshed or restarted the app
- Abandoned the task
- Other (please specify)
Q06
Ranking
Rank the following qualities of an error message from most important to least important.
- Clear explanation of the cause
- Suggested fix or workaround
- Plain, jargon-free language
- Next-step button or link
- Unique reference code for support
- Visual emphasis (e.g., color, icon)
Drag to rank
Q07
Long Text
Based on your recent experience, what wording or steps would have made the error message clearer or more useful?
Q08
Multiple Choice
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Q09
Message
Thank you for your time! Your feedback will directly help us improve error messages and troubleshooting guidance in our product.
Q10
Opinion Scale
How easy was it to understand what action to take after seeing the message?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q11
Dropdown
Approximately how long did it take to resolve the issue?
- Under 1 minute
- 1–3 minutes
- 4–10 minutes
- 11–30 minutes
- Over 30 minutes
- Issue was not resolved
- Not applicable
Q12
Opinion Scale
Overall, how satisfied are you with how our product handles errors and guides you toward a resolution?
Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q13
AI Interview
We'd like to understand your experience with the error message in a bit more detail. Please share your thoughts and our AI moderator will ask follow-up questions.
Q14
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Q15
Opinion Scale
How appropriate was the tone of the message (e.g., helpful vs. blaming)?
Scale: 1 – 7
Min:Very inappropriateMax:Very appropriate
Q16
Multiple Choice
Where do you currently live?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Prefer not to say
Q17
Opinion Scale
How specific was the message in describing what went wrong?
Scale: 1 – 7
Min:Very vagueMax:Very specific
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.