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모든 템플릿

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.

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질문 24개 · 약 11분
Q01
메시지

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.

Q02
객관식

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
Q03
객관식

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
Q04
의견 척도

How disruptive was the error to what you were trying to do?

척도: 1 – 7
최소:Not at all disruptive최대:Extremely disruptive
Q05
객관식

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
Q06
객관식

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
Q07
AI 인터뷰

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
객관식

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
Q09
메시지

Thank you for completing this survey. Your feedback will help improve error messages and recovery experiences across software products.

Q10
의견 척도

In the past 3 months, how often have error messages slowed you down?

척도: 1 – 5
최소:Never최대:Very often
Q11
객관식

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
Q12
객관식

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
Q13
드롭다운

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
Q14
장문형

If you could rewrite the error message you encountered, what would it say?

Q15
객관식

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
Q16
객관식

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
Q17
의견 척도

How clear was the error message in explaining what went wrong?

척도: 1 – 7
최소:Not at all clear최대:Extremely clear
Q18
순위 매기기

Rank the following recovery aids from most to least helpful based on your experience.

  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
드래그하여 순위 지정
Q19
의견 척도

How would you rate your overall technical proficiency?

척도: 1 – 7
최소:Very low최대:Very high
Q20
의견 척도

How appropriate was the tone of the error message?

척도: 1 – 7
최소:Not at all appropriate최대:Completely appropriate
Q21
드롭다운

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
Q22
의견 척도

How actionable was the error message—did it tell you what to do next?

척도: 1 – 7
최소:Not at all actionable최대:Completely actionable
Q23
드롭다운

In which region do you primarily live?

  • Africa
  • Asia
  • Europe
  • North America
  • Oceania
  • South America
  • Prefer not to say
Q24
의견 척도

How confident were you that you knew what to do next after seeing the error message?

척도: 1 – 7
최소:Not at all confident최대:Completely confident

포함된 기능

  • AI 후속 질문

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    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

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    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes a dedicated multi-question sequence isolating error context (device/platform, error type, location in product, disruption level) rather than treating errors as one line item in a broader UX survey
  • Uses opinion-scale ratings across clarity, tone, actionability, and confidence so teams can pinpoint exactly which copy dimension is failing, not just an overall satisfaction score
  • Pairs a ranking question on recovery aids with an open-text prompt asking users to rewrite the error message themselves, giving both quantitative prioritization and verbatim copy ideas
  • Adds an adaptive AI follow-up interview after the structured questions to probe each respondent's specific error experience in their own words, something static form builders can't replicate

QuestionPro

Mobile app user experience survey template | Voice of the customer surveys

A general mobile app UX template covering usability and satisfaction broadly, not focused on error messages, responsibility attribution, or recovery behavior. Useful as a fielding-ready starting point if a team wants to fold a couple of error-related questions into a wider app UX study rather than run a dedicated error-message investigation.

잘하는 점

  • Ready-to-deploy template within an established survey platform with broad question-library support
  • Framed around voice-of-customer practices, suggesting attention to actionable UX feedback loops
  • Covers general mobile app experience, useful if error handling is just one factor among many

아쉬운 점

  • No indication of questions isolating error message clarity, tone, actionability, or perceived responsibility specifically
  • Static question set with no adaptive AI follow-up to probe individual error experiences in depth
  • No published scoring methodology for interpreting open-ended UX feedback

SurveySparrow

User Experience Survey & Questionnaire Template

A general-purpose UX survey template aimed at capturing overall product experience and satisfaction. It is not built around error messages, recovery paths, or responsibility attribution, and would need heavy customization to match a focused error-UX study. It's a decent generic starting point rather than a purpose-built error-recovery instrument.

잘하는 점

  • Conversational, chat-style survey format that may improve completion rates
  • General UX coverage adaptable to many product feedback contexts
  • Part of a platform with broader survey distribution and templating tools

아쉬운 점

  • No dedicated line of questioning on error message clarity, tone, or actionability
  • Lacks structured recovery-time tracking or ranking of recovery aids
  • Fixed question flow with no adaptive AI interview to dig into individual error incidents

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