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Employee & HR

Employee Recognition Program Effectiveness Survey

Measures how often employees are recognized, how fair and meaningful that recognition feels, and whether it comes more from managers or peers. An AI follow-up digs into a specific recent recognition moment to surface what actually made it land — or fall flat — beyond the survey ratings.

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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14問・約7分
Q01
メッセージ

Thanks for taking a few minutes to share how recognition feels on your team. Your responses are completely confidential and anonymized. Your honest answers help us make it fairer and more meaningful. About 6 minutes.

Q02
選択式必須

In the last 3 months, how often have you received recognition (formal or informal) for your work?

  • Never
  • Once
  • A few times (2-3)
  • Regularly (about monthly)
  • Frequently (weekly or more)
Q03
オピニオンスケール必須

How fairly do you feel recognition is distributed across your team, regardless of role or tenure?

スケール: 1 – 7
最小:Not fair at all最大:Extremely fair
Q04
マトリクス必須

Thinking about recognition at our company, how much do you agree with each statement?

5行 × 5列
  • The recognition I receive feels genuine and specific to what I did
  • Recognition happens close in time to the achievement, not weeks later
  • People at all levels get recognized, not just top performers
  • Recognition reflects our stated company values
  • I trust the criteria used to decide who gets recognized
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
選択式必須

Who most often recognizes your contributions?

  • My direct manager
  • A peer or teammate
  • Someone outside my team
  • Senior leadership/executives
  • I don't recall being recognized
Q06
評価スケール

Think of the most recent time you were recognized. How meaningful did it feel to you personally?

範囲: 1 – 5
最小:Not meaningful at all最大:Extremely meaningful
Q07
ポイント配分必須

Ideally, how should recognition for your work be distributed across these sources? Allocate 100 points total across all that apply.

  • Direct manager
  • Peers/teammates
  • Senior leadership
  • Cross-functional colleagues
  • Customers/clients
100ポイントを配分
Q08
ベスト・ワースト選択（MaxDiff）必須

Which of these changes would make our recognition program most meaningful to you?

  • More frequent recognition
  • More specific, detailed recognition messages
  • Tangible rewards (gift cards, bonuses) tied to recognition
  • Public visibility (team channel, all-hands shoutouts)
  • Better peer-to-peer recognition tools
  • Recognition tied more clearly to company values
  • Manager training on how to recognize effectively
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 impactful最も悪い:Least impactful
Q09
AIインタビュー

Probe the reasoning behind the respondent's fairness rating: ask for a specific, recent example of recognition that felt fair or unfair, who gave it, and why. If they distinguished manager vs. peer recognition, explore which felt more genuine and what made it so. If they said no one recognizes their work, dig into what contribution should have been recognized and what got in the way.

Q10
オピニオンスケール必須

How likely are you to tell a colleague that our recognition program makes people feel valued?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q11
選択式

Which department are you part of?

  • Engineering/Product
  • Sales
  • Marketing
  • Customer Support/Success
  • Operations
  • Finance/HR/Admin
  • Prefer not to say
Q12
選択式

How long have you been with the company?

  • Less than 6 months
  • 6 months to 1 year
  • 1-3 years
  • 3-5 years
  • 5+ years
  • Prefer not to say
Q13
選択式

Which best describes your role?

  • Individual contributor
  • People manager
  • Senior leader/executive
  • Prefer not to say
Q14
メッセージ

That's everything — thank you! Your answers will be combined with others to identify where recognition feels fair and meaningful, and where the program needs work.

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 an AI follow-up interview follow-up that probes the reasoning behind each respondent's fairness rating, asking for a specific recent example instead of stopping at a number
  • Uses a point-allocation question to capture how employees think recognition *should* be split across manager/peer/company sources, not just how it currently is
  • Combines a best-worst trade-off prioritization question with matrix and rating-scale items to triangulate what respondents value most, not just how they feel overall
  • Automated per-response quality scoring and an auto-generated report mean open-ended recognition stories get synthesized, not just tallied

SurveyMonkey

Employee Recognition Survey Template & Questions

A ready-to-field static template covering recognition frequency and satisfaction, backed by SurveyMonkey's established survey infrastructure and benchmarking. It relies on fixed question sets and closed-ended scales, so any 'why' behind a low fairness or meaningfulness score has to be inferred rather than asked directly. Good for quick deployment, less suited to uncovering the specific moment that made recognition land or fall flat.

優れている点

  • Fielding-ready template with established survey distribution and reporting tools
  • Likely benefits from SurveyMonkey's broader question bank and benchmarking data
  • Simple setup for teams that just want standard recognition metrics

物足りない点

  • Static question set with no adaptive follow-up to probe individual responses further
  • No mechanism to surface a specific recognition anecdote behind a rating
  • No published methodology on how questions were validated or scored

Typeform

Employee Recognition Survey Template

A conversational-style static template that likely covers recognition frequency, sources, and sentiment in Typeform's signature one-question-at-a-time format. It's fielding-ready and pleasant to take, but like other static builders it cannot ask a dynamic follow-up when a respondent gives an interesting or concerning answer. Reporting is templated rather than synthesized from open-ended detail.

優れている点

  • Fielding-ready template with a polished, high-completion-rate interface
  • Conversational one-question format tends to feel less like a formal survey
  • Easy to customize branding and question wording within Typeform's builder

物足りない点

  • No adaptive AI follow-up to dig into a specific recognition moment behind a score
  • No voice interview option or guided task/screen-share capability
  • No automated per-response quality scoring or transparent prompt methodology

よくあるご質問

「Employee Recognition Program Effectiveness 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 recognition feels on your team. Your responses are completely confidential…」・「In the last 3 months, how often have you received recognition (formal or informal) for your work?」・「How fairly do you feel recognition is distributed across your team, regardless of role or tenure?」。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

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