Q01
Long Text
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Error Message Clarity & Recovery UX Survey
Evaluates software error message clarity, perceived responsibility, user confidence, and recovery experience to optimize UX copy, reduce support volume, and improve trust.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
24 questions · ~4 min
Q02
Multiple Choice
When did you most recently encounter a software error message?
Q03
Multiple Choice
On what type of device or platform did you encounter the error?
Q04
Long Text
How disruptive was the error to what you were trying to do?
Q05
Multiple Choice
Were you able to complete your task after encountering the error?
Q06
Multiple Choice
Who or what do you think was most responsible for the error you experienced?
Q07
AI Interview
We'd like to learn a bit more about your error experience. A few follow-up questions will appear based on your earlier responses.
Q08
Multiple Choice
Which best describes your current role?
Q09
Long Text
Thank you for completing this survey. Your feedback will help improve error messages and recovery experiences across software products.
Q10
Long Text
In the past 3 months, how often have error messages slowed you down?
Q11
Multiple Choice
Which best describes the most recent software error you encountered?
Q12
Multiple Choice
Which of the following elements did the error message include? Select all that apply.
Q13
Long Text
Approximately how long did it take you to recover and continue your task?
Q14
Long Text
If you could rewrite the error message you encountered, what would it say?
Q15
Multiple Choice
How many years of experience do you have working with software in your role?
Q16
Multiple Choice
Where were you in the product when the error occurred?
Q17
Long Text
How clear was the error message in explaining what went wrong?
Q18
Long Text
Rank the following recovery aids from most to least helpful based on your experience.
Q19
Long Text
How would you rate your overall technical proficiency?
Q20
Long Text
How appropriate was the tone of the error message?
Q21
Long Text
Which industry do you primarily work in?
Q22
Long Text
How actionable was the error message—did it tell you what to do next?
Q23
Long Text
In which region do you primarily live?
Q24
Long Text
How confident were you that you knew what to do next after seeing the error message?
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.