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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.

What's Included

AI-Powered Questions

Intelligent follow-up questions based on responses

Automated Analysis

Real-time sentiment and insight detection

Smart Distribution

Target the right audience automatically

Detailed Reports

Comprehensive insights and recommendations

Template Overview

24

Questions

AI-Powered

Smart Analysis

Ready-to-Use

Launch in Minutes

This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.

Sample Survey Items

Q1
Chat Message
Welcome to this survey about your experience with software error messages. This survey takes approximately 6–8 minutes to complete. Your participation is completely voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest opinions and experiences. All responses are confidential and will be reported in aggregate only. Results will be used to improve error message design and user recovery experiences. By continuing, you confirm that you have read and understood the above.
Q2
Multiple Choice
When did you most recently encounter a software error message?
  • Within the last 7 days
  • 8–14 days ago
  • 15–30 days ago
  • More than 30 days ago
  • I haven't encountered one recently
Q3
Opinion Scale
In the past 3 months, how often have error messages slowed you down?
Range: 1 5
Min: NeverMid: NeutralMax: Very often
Q4
Multiple Choice
On what type of device or platform did you encounter the error?
  • Desktop application
  • Mobile application
  • Web browser on desktop or laptop
  • Web browser on mobile
  • Command line or terminal
  • Other
Q5
Multiple Choice
Which best describes the most recent software error you encountered?
  • Crash or app closed unexpectedly
  • Freeze, hang, or unresponsive screen
  • Validation or form submission error
  • Connection or network issue
  • Permission or access denied
  • Timeout
  • Other
Q6
Multiple Choice
Where were you in the product when the error occurred?
  • Sign-in or authentication
  • Settings or account management
  • Creating or editing content
  • Data entry or form submission
  • File operations (upload, download, save)
  • Network-dependent action (sync, fetch, API call)
  • Installation or update
  • Other
Q7
Opinion Scale
How disruptive was the error to what you were trying to do?
Range: 1 7
Min: Not at all disruptiveMid: NeutralMax: Extremely disruptive
Q8
Multiple Choice
Which of the following elements did the error message include? Select all that apply.
  • Plain-language description of the problem
  • Technical code or identifier
  • Suggested next steps
  • Retry button
  • Link to help or support contact
  • Diagnostic details (logs or trace)
  • None of the above
  • Don't remember
Q9
Opinion Scale
How clear was the error message in explaining what went wrong?
Range: 1 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q10
Opinion Scale
How appropriate was the tone of the error message?
Range: 1 7
Min: Not at all appropriateMid: NeutralMax: Completely appropriate
Q11
Opinion Scale
How actionable was the error message—did it tell you what to do next?
Range: 1 7
Min: Not at all actionableMid: NeutralMax: Completely actionable
Q12
Opinion Scale
How confident were you that you knew what to do next after seeing the error message?
Range: 1 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q13
Multiple Choice
Were you able to complete your task after encountering the error?
  • Yes, immediately
  • Yes, after trying one or more steps
  • No, I could not complete my task
Q14
Dropdown
Approximately how long did it take you to recover and continue your task?
  • Less than 1 minute
  • 1–5 minutes
  • 6–15 minutes
  • 16–30 minutes
  • More than 30 minutes
  • I was unable to recover
  • Not applicable
Q15
Ranking
Rank the following recovery aids from most to least helpful based on your experience.
Drag to order (top = most important)
  1. Specific steps to fix the problem
  2. Retry action
  3. Undo or restore option
  4. Link to a detailed help article
  5. Option to contact support
Q16
Multiple Choice
Who or what do you think was most responsible for the error you experienced?
  • The software or application itself
  • The company or development team
  • My own actions or input
  • My device or hardware
  • My internet or network connection
  • A third-party service or integration
  • Not sure
Q17
Long Text
If you could rewrite the error message you encountered, what would it say?
Max chars
Q18
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 6
Q19
Multiple Choice
Which best describes your current role?
  • Software engineer or developer
  • QA or test engineer
  • Product manager
  • Designer or UX researcher
  • Data or analytics professional
  • IT or support
  • General or non-technical user
  • Other
Q20
Multiple Choice
How many years of experience do you have working with software in your role?
  • 0–1 years
  • 2–4 years
  • 5–9 years
  • 10–14 years
  • 15+ years
Q21
Opinion Scale
How would you rate your overall technical proficiency?
Range: 1 7
Min: Very lowMid: NeutralMax: Very high
Q22
Dropdown
Which industry do you primarily work in?
  • Technology
  • Finance
  • Healthcare
  • Education
  • Government or public sector
  • Retail or eCommerce
  • Media or entertainment
  • Other
  • Prefer not to say
Q23
Dropdown
In which region do you primarily live?
  • Africa
  • Asia
  • Europe
  • North America
  • Oceania
  • South America
  • Prefer not to say
Q24
Chat Message
Thank you for completing this survey. Your feedback will help improve error messages and recovery experiences across software products.

Frequently Asked Questions

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How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
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