Q01
メッセージ
すべてのテンプレートProduct & UX
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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
全17問・約8分
Q02
選択式
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
選択式
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
オピニオンスケール
Overall, how clear was the most recent error or message you saw?
スケール: 1 – 7
最小:Not at all clear最大:Extremely clear
Q05
選択式
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
ランク付け
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)
ドラッグして順位を付ける
Q07
自由回答（長文）
Based on your recent experience, what wording or steps would have made the error message clearer or more useful?
Q08
選択式
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
メッセージ
Thank you for your time! Your feedback will directly help us improve error messages and troubleshooting guidance in our product.
Q10
オピニオンスケール
How easy was it to understand what action to take after seeing the message?
スケール: 1 – 7
最小:Very difficult最大:Very easy
Q11
プルダウン
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
オピニオンスケール
Overall, how satisfied are you with how our product handles errors and guides you toward a resolution?
スケール: 1 – 7
最小:Very dissatisfied最大:Very satisfied
Q13
AIインタビュー
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
選択式
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Q15
オピニオンスケール
How appropriate was the tone of the message (e.g., helpful vs. blaming)?
スケール: 1 – 7
最小:Very inappropriate最大:Very appropriate
Q16
選択式
Where do you currently live?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Prefer not to say
Q17
オピニオンスケール
How specific was the message in describing what went wrong?
スケール: 1 – 7
最小:Very vague最大:Very specific
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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.
優れている点
- 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
物足りない点
- 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.
優れている点
- Well-known, easy-to-use survey builder with broad template library
- Good for quick, general product satisfaction pulse checks
- Established analytics/reporting dashboard
物足りない点
- 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
よくあるご質問
「Error Message Clarity & Resolution UX Survey」テンプレートにはどのような設問が含まれていますか？
すぐに使える設問が17問含まれており、最初の設問は次のとおりです：「Welcome! This short survey (approximately 5–7 minutes) asks about a recent error or confusing message you encountered in…」・「When did you most recently encounter an error or confusing message while using our product?」・「Which types of messages have you seen recently? Select all that apply.」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか？
回答者は通常、17問を約8分で回答し終えます。
テンプレートは編集できますか？
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか？
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか？
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
関連テンプレート
似たテーマのほかの調査もご覧ください。