すべてのテンプレート
Industry-Specific

Employee Pay Equity & Wage Gap Perception Survey

Measures how fairly employees believe compensation is distributed across gender, race, tenure, and role, and pinpoints which pay decisions or comparisons shape that perception. Built for HR and People Analytics teams auditing pay equity, with an AI follow-up that reconstructs the specific story behind a respondent's lowest fairness rating instead of just the number.

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16問・約8分
Q01
メッセージ

Thanks for taking a few minutes to share how you see pay fairness at our organization. Your answers are anonymous and feed directly into our pay equity review — this takes about 5-6 minutes.

Q02
選択式必須

Are you aware of this organization's approach to ensuring equal pay for equal work (e.g., published pay bands, regular pay equity audits)?

  • Yes, I've seen specific information (bands, audit results, etc.)
  • I've heard it's a priority but haven't seen details
  • No, I'm not aware of any approach
  • Not sure
Q03
オピニオンスケール必須

Overall, how fairly do you believe your pay compares to others doing similar work at this organization?

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

Based on what you've observed or heard, how does each of the following tend to affect pay outcomes at this organization?

6行 × 5列
  • Gender
  • Race or ethnicity
  • Age
  • Tenure at the company
  • Educational background
  • ほか1件
列: Much lower pay · Somewhat lower pay · No noticeable difference · Somewhat higher pay · Much higher pay
Q05
選択式

In the last 12 months, have you compared your pay to publicly available salary data or to coworkers' pay?

  • Yes, using public salary data (e.g., a salary benchmarking site)
  • Yes, by talking with coworkers
  • Yes, both
  • No, I haven't compared
Q06
ベスト・ワースト選択(MaxDiff)必須

Which of the following do you think has the biggest influence on pay differences between employees here?

  • Job performance
  • Years of experience
  • Negotiation skill
  • Manager relationships
  • Job level or title
  • Location or remote-work status
  • Demographic characteristics (e.g., gender, race)
各セットで最も良いもの・最も悪いものを選択最も良い:Most influences pay differences here最も悪い:Least influences pay differences here
Q07
オピニオンスケール必須

How confident are you that pay decisions here — raises, promotions, starting offers — are made without bias toward any group?

スケール: 1 – 5
最小:Not at all confident最大:Completely confident
Q08
AIインタビュー必須

Reconstruct the specific experience behind this respondent's fairness rating and their confidence-in-bias-free-decisions rating. If either score was low or mid-range, ask for a concrete example — a raise, promotion, or comparison with a colleague — that shaped that view, and which demographic factor (if any) they suspect was involved. If both scores were high, ask what evidence or communication gave them that confidence, so we can identify what's working.

Q09
選択式

Has your manager or HR ever proactively explained how your pay was determined?

  • Yes, in detail
  • Yes, briefly
  • No, never
  • Don't recall
Q10
評価スケール

How satisfied are you with how clearly this organization communicates about pay decisions and pay equity efforts?

範囲: 1 – 5
最小:Very dissatisfied最大:Very satisfied
Q11
自由回答(長文)

What one change would most improve your confidence that pay is determined fairly here? (Optional)

Q12
メッセージ

Just a few optional background questions to help us spot patterns across groups — feel free to skip any of these.

Q13
選択式

Which gender do you identify with?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
選択式

Which best describes your race or ethnicity?

  • American Indian or Alaska Native
  • Asian
  • Black or African American
  • Hispanic or Latino
  • Native Hawaiian or Pacific Islander
  • White
  • Two or more races
  • Prefer to self-describe
  • Prefer not to say
Q15
選択式

How long have you been with this organization?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8+ years
  • Prefer not to say
Q16
メッセージ

Thank you for your honesty. Your responses will be combined anonymously with others and reviewed by HR leadership as part of our pay equity assessment — no individual answers are shared with managers.

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

  • Goes beyond a single fairness rating with an AI follow-up interview that reconstructs the specific pay decision or comparison behind a respondent's lowest score
  • Includes a max-diff exercise to rank which factors (gender, race, tenure, role) employees believe most drive pay gaps, not just whether one exists
  • Pairs quantitative measures (opinion scales, matrix, rating) with an open-ended question and optional demographic breakdowns for gender, race, and tenure to segment results
  • Publishes the AI's questions and follow-up logic transparently and auto-generates a report, with a free tier and $50/mo Business plan (no academic tier)

SurveyMonkey

Wage Gap Evaluation Template & Questions

This is a fielding-ready static template focused specifically on wage gap perception, making it a direct topical match. It relies on fixed question sets (likely scales and multiple choice) rather than adaptive probing, so any 'why' behind a low fairness score has to be inferred rather than reconstructed. It's a solid, established option for teams that just need standard wage-gap metrics without deeper narrative context.

優れている点

  • Purpose-built specifically for wage gap perception rather than generic employee evaluation
  • Backed by SurveyMonkey's large template library and familiar survey-building tools
  • Likely quick to deploy given its templated, ready-to-use format

物足りない点

  • No adaptive AI follow-up to dig into the specific story behind a low fairness rating — respondents just leave a static score
  • No voice AI interview option or guided screen-share tasks for richer qualitative context
  • No published methodology or prompt-level transparency for how any follow-up questions (if present) are generated

よくあるご質問

「Employee Pay Equity & Wage Gap Perception 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16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 see pay fairness at our organization. Your answers are anonymous and fe…」・「Are you aware of this organization's approach to ensuring equal pay for equal work (e.g., published pay bands, regular p…」・「Overall, how fairly do you believe your pay compares to others doing similar work at this organization?」。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、16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。

すべて見る