Q01
메시지
모든 템플릿
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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 17개 · 약 8분
Q02
객관식
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
객관식
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
의견 척도
Overall, how clear was the most recent error or message you saw?
척도: 1 – 7
최소:Not at all clear최대:Extremely clear
Q05
객관식
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
순위 매기기
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)
드래그하여 순위 지정
Q07
장문형
Based on your recent experience, what wording or steps would have made the error message clearer or more useful?
Q08
객관식
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
메시지
Thank you for your time! Your feedback will directly help us improve error messages and troubleshooting guidance in our product.
Q10
의견 척도
How easy was it to understand what action to take after seeing the message?
척도: 1 – 7
최소:Very difficult최대:Very easy
Q11
드롭다운
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
의견 척도
Overall, how satisfied are you with how our product handles errors and guides you toward a resolution?
척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q13
AI 인터뷰
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
객관식
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Q15
의견 척도
How appropriate was the tone of the message (e.g., helpful vs. blaming)?
척도: 1 – 7
최소:Very inappropriate최대:Very appropriate
Q16
객관식
Where do you currently live?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Prefer not to say
Q17
의견 척도
How specific was the message in describing what went wrong?
척도: 1 – 7
최소:Very vague최대:Very specific
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
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
- Opens by anchoring respondents to a recent (within-30-day) error incident, so ratings reflect fresh, specific memory rather than generalized impressions
- Uses four distinct opinion-scale questions (clarity, actionability, tone, specificity) plus a ranking question to isolate which error-message qualities matter most to users
- Includes an AI follow-up interview that probes the specific incident in the respondent's own words, surfacing root causes and concrete wording fixes that fixed-choice questions alone would miss
- Closes the loop with an open-text question asking exactly what wording or steps would have resolved the confusion, giving UX teams actionable rewrite material, not just scores
QuestionPro
User Satisfaction Survey + Sample Questionnaire TemplateThis is a general user satisfaction survey template, not one built around error messages or troubleshooting flows specifically, so it only partially overlaps with this use case. It's a fielding-ready static questionnaire that teams would need to heavily rework to focus on error UX. Useful as a broad satisfaction baseline but not a purpose-built error-message evaluation tool.
잘하는 점
- Backed by a mature, established survey platform with broad customization options
- Likely includes standard satisfaction benchmarking question types (CSAT/NPS-style)
- Simple to deploy quickly for general feedback needs
아쉬운 점
- Not designed around error-message clarity, tone, or resolution steps — requires significant rebuilding for this use case
- Static questionnaire with no adaptive AI or voice follow-up to probe individual incidents
- No published per-response quality scoring or transparent prompt methodology
SurveyMonkey
Product Satisfaction Survey TemplateA general product satisfaction template rather than one targeting error messages or troubleshooting UX, so its relevance here is limited to being a generic starting point. It's a ready-to-field static form suitable for broad product feedback. Teams focused specifically on error-handling UX would need to add most of the incident-specific questions themselves.
잘하는 점
- Well-known, easy-to-use survey builder with broad template library
- Good for quick, general product satisfaction pulse checks
- Established analytics/reporting dashboard
아쉬운 점
- No error-message-specific questions (clarity, tone, specificity, recency of incident)
- Static form format — no adaptive AI or voice interview to dig into a specific error incident
- No automated per-response quality scoring or transparent prompt disclosure
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.