Q01
Long Text
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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 · ~4 min
Q02
Multiple Choice
When did you most recently encounter an error or confusing message while using our product?
Q03
Multiple Choice
Which types of messages have you seen recently? Select all that apply.
Q04
Long Text
Overall, how clear was the most recent error or message you saw?
Q05
Multiple Choice
Which actions did you take after seeing the message? Select all that apply.
Q06
Long Text
Rank the following qualities of an error message from most important to least important.
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?
Q09
Long Text
Thank you for your time! Your feedback will directly help us improve error messages and troubleshooting guidance in our product.
Q10
Long Text
How easy was it to understand what action to take after seeing the message?
Q11
Long Text
Approximately how long did it take to resolve the issue?
Q12
Long Text
Overall, how satisfied are you with how our product handles errors and guides you toward a resolution?
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?
Q15
Long Text
How appropriate was the tone of the message (e.g., helpful vs. blaming)?
Q16
Multiple Choice
Where do you currently live?
Q17
Long Text
How specific was the message in describing what went wrong?
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.