QuestionPunkQuestionPunk
無料で始める
すべてのテンプレート
Privacy & Compliance

AI Monitoring of Work Quality: Employee Attitudes Survey

Measures how employees feel about AI-based monitoring and quality-scoring tools at work — covering comfort, trust, fairness, and behavior change — with an AI follow-up that reconstructs one specific moment monitoring affected them instead of abstract opinions. Built for HR, legal, and workplace-technology teams evaluating or rolling out AI monitoring practices.

このテンプレートを使うほかのテンプレートを見る

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14問・約7分
Q01
メッセージ

Thanks for taking a few minutes to share how you feel about AI tools that monitor or score the quality of your work. There are no right or wrong answers here — honest input helps shape fairer policies. About 5-6 minutes.

Q02
選択式

Which of the following AI-based monitoring or quality-tracking tools are used in your current role, as far as you know?

  • Screen or activity recording
  • Keystroke or mouse-movement tracking
  • AI-generated productivity or quality scores
  • Automated review of emails, chats, or calls
  • AI transcription or sentiment analysis of meetings
  • Location or badge tracking
Q03
オピニオンスケール必須

Overall, how comfortable are you with AI tools monitoring or scoring the quality of your work?

スケール: 1 – 7
最小:Very uncomfortable最大:Very comfortable
Q04
マトリクス必須

How much do you agree or disagree with each statement about AI monitoring at your workplace?

5行 × 5列
  • AI monitoring gives an accurate picture of the quality of my work
  • AI monitoring is applied more fairly than human review would be
  • Knowing I'm monitored by AI increases my stress at work
  • I trust decisions that are based on AI monitoring data
  • AI monitoring has helped me improve my performance
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
選択式必須

In the last 30 days, how often have you changed what you were doing because you knew AI monitoring was active?

  • Never
  • Rarely (1-2 times)
  • Sometimes (about weekly)
  • Often (several times a week)
  • Every day
Q06
ベスト・ワースト選択（MaxDiff）必須

Of the concerns below about AI monitoring of work quality, which matters most to you and which matters least?

  • The accuracy of what AI monitoring measures
  • Lack of transparency about how it's used
  • Fear it could affect my job security or pay
  • Loss of privacy in how I work
  • Potential bias against certain people or teams
  • Loss of control over how my work is judged
  • Being reduced to a score without human context
  • Where and how the data is stored or shared
各セットで最も良いもの・最も悪いものを選択最も良い:Concerns me most最も悪い:Concerns me least
Q07
評価スケール必須

How accurate do you think AI-generated quality scores are at capturing the real quality of your work?

範囲: 1 – 5
最小:Not at all accurate最大:Extremely accurate
Q08
AIインタビュー

Reconstruct one specific recent moment when AI monitoring or an AI-generated quality score affected the respondent — what it flagged or measured, how they found out, and what they did next. Anchor on their comfort and trust ratings: if they're uncomfortable or distrustful, dig into the exact moment trust broke down and what evidence would rebuild it; if they're comfortable, probe whether that's based on real experience or just assumption. If they say monitoring has never directly affected them, ask what they've heard from coworkers instead.

Q09
選択式必須

Would you support or oppose expanding AI monitoring to cover more parts of your job than it currently does?

  • Strongly oppose
  • Oppose
  • Neutral
  • Support
  • Strongly support
Q10
自由回答（長文）

What would need to change about how AI monitoring works for it to feel fair to you?

Q11
選択式

Which best describes your role?

  • Individual contributor
  • People manager
  • Senior leader / executive
  • Contractor / contingent worker
  • Prefer not to say
Q12
選択式

How long have you worked at your current organization?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8+ years
  • Prefer not to say
Q13
選択式

Which age group do you belong to?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q14
メッセージ

Thank you for sharing your honest perspective on AI monitoring at work. Your responses will be combined with others' to help shape fair, transparent monitoring policies — individual answers are kept confidential.

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 matrix question measuring agreement across multiple statements on trust, fairness, and comfort with AI monitoring in one pass, rather than a single generic satisfaction score.
  • Uses a max-diff exercise to force-rank which AI monitoring concerns (e.g., accuracy, surveillance, fairness) matter most, giving HR/legal teams prioritized data instead of open-ended complaints.
  • Pairs a rating question on perceived accuracy of AI-generated quality scores with an AI follow-up interview that reconstructs one specific recent moment monitoring affected the employee — surfacing concrete incidents, not abstract opinions.
  • Closes with a long-text question on what would need to change for AI monitoring to feel fair, plus role, tenure, and age demographics, so responses can be segmented by workforce group for rollout decisions.

SurveyMonkey

Employee Workload Survey Template

This is a static, fielding-ready template for gauging employee workload and stress, not AI monitoring or quality-scoring attitudes specifically. It's a reasonable comparison as a general-purpose employee sentiment survey on a mature platform, but it doesn't touch the AI-monitoring subject matter at all. Teams would need to heavily rebuild it to study monitoring trust or fairness.

優れている点

  • Backed by an established, widely-used survey platform with broad distribution and reporting tooling
  • Likely offers pre-built question logic and simple deployment for HR teams
  • Familiar format that respondents and HR stakeholders already trust

物足りない点

  • Doesn't address AI monitoring, quality scoring, or algorithmic management at all — off-topic for this use case
  • Static question set with no adaptive AI follow-up to probe specific incidents
  • No mechanism to surface a concrete moment of impact — relies on abstract Likert-style ratings only

よくあるご質問

「AI Monitoring of Work Quality: Employee Attitudes 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14問含まれており、最初の設問は次のとおりです：「Thanks for taking a few minutes to share how you feel about AI tools that monitor or score the quality of your work. The…」・「Which of the following AI-based monitoring or quality-tracking tools are used in your current role, as far as you know?」・「Overall, how comfortable are you with AI tools monitoring or scoring the quality of your work?」。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、14問を約7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

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。

すべて見る
Privacy & Compliance

Research Informed Consent & Enrollment

A complete consent flow for research studies: plain-language study information, granular consent statements with a comprehension check, signature capture, and contact enrollment. Built for IRB-style requirements — participants confirm they understand, not just that they scrolled.

テンプレートを見る
Privacy & Compliance

Employee Attitude & Workplace Morale Survey

Tracks how employees genuinely feel about their work, managers, and leadership — using a validated advocacy score, a multi-statement morale battery, and a best-worst trade-off on what would move the needle. An AI follow-up interview digs into the story behind each person's score instead of settling for the number alone. Built for HR and people teams running quarterly or annual pulse checks.

テンプレートを見る
Privacy & Compliance

Workplace AI Adoption & Compliance Assessment

Measures employee AI tool usage patterns, shadow AI risks, policy awareness, and training needs to inform governance and safe-adoption strategies across the organization.

テンプレートを見る
Privacy & Compliance

AI Disruption Sentiment Pulse for Transforming Teams

A quick pulse for teams navigating AI-driven change — measuring sentiment, trust in leadership communication, skill-confidence, and the support employees actually want next. An AI follow-up interview digs into the real story behind each person's sentiment score, surfacing specifics a scale alone can't capture.

テンプレートを見る
Privacy & Compliance

Employee Job Satisfaction & Engagement Survey

Measures overall job satisfaction, the specific drivers behind it (workload, manager support, growth, recognition, pay, work-life balance), and retention risk — with an AI follow-up interview that digs into the real reason behind each employee's satisfaction score instead of just the number. Built for HR teams running quarterly or annual pulse checks.

テンプレートを見る
Privacy & Compliance

Organizational Concern for Employee Satisfaction Survey

Measures whether employees believe the organization genuinely cares about their satisfaction and wellbeing, based on behavioral signals like manager check-ins and follow-through on feedback rather than stated policy. An AI follow-up reconstructs a specific recent moment behind each respondent's score, surfacing concrete gaps between what leadership says and what employees actually experience.

テンプレートを見る