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Product & UX

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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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24問・約11分
Q01
メッセージ

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
選択式

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
選択式

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all disruptive最大:Extremely disruptive
Q05
選択式

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
選択式

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インタビュー

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
選択式

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
メッセージ

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

Q10
オピニオンスケール

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

スケール: 1 – 5
最小:Never最大:Very often
Q11
選択式

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
選択式

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
プルダウン

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
自由回答（長文）

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

Q15
選択式

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
選択式

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all clear最大:Extremely clear
Q18
ランク付け

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
ドラッグして順位を付ける
Q19
オピニオンスケール

How would you rate your overall technical proficiency?

スケール: 1 – 7
最小:Very low最大:Very high
Q20
オピニオンスケール

How appropriate was the tone of the error message?

スケール: 1 – 7
最小:Not at all appropriate最大:Completely appropriate
Q21
プルダウン

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all actionable最大:Completely actionable
Q23
プルダウン

In which region do you primarily live?

  • Africa
  • Asia
  • Europe
  • North America
  • Oceania
  • South America
  • Prefer not to say
Q24
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all confident最大:Completely confident

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

  • 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.

優れている点

  • 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

物足りない点

  • 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「Error Message Clarity & Recovery 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24問含まれており、最初の設問は次のとおりです：「Welcome to this survey about your experience with software error messages. This survey takes approximately 6–8 minutes…」・「When did you most recently encounter a software error message?」・「On what type of device or platform did you encounter the error?」。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、24問を約11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。

このテンプレートを使う無料で始める

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