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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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)
How fairly do you feel recognition is distributed across your team, regardless of role or tenure?
Thinking about recognition at our company, how much do you agree with each statement?
- 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
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
Think of the most recent time you were recognized. How meaningful did it feel to you personally?
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
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
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.
How likely are you to tell a colleague that our recognition program makes people feel valued?
Which department are you part of?
- Engineering/Product
- Sales
- Marketing
- Customer Support/Success
- Operations
- Finance/HR/Admin
- Prefer not to say
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
Which best describes your role?
- Individual contributor
- People manager
- Senior leader/executive
- Prefer not to say
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.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- 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 & QuestionsA 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.
잘하는 점
- 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
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- 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
아쉬운 점
- 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
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.