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Employee Salary & Compensation Fairness Survey

Measures how employees feel about their pay, benefits, and the process behind raises — covering satisfaction, market comparison, and priority trade-offs between compensation elements. An AI follow-up interview digs into the specific reasons behind fairness or satisfaction scores, especially where perceptions of pay and market value diverge.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share your honest thoughts on pay and benefits. Your answers are confidential and help shape how we approach compensation going forward. About 6-7 minutes.

Q02
의견 척도필수

Overall, how satisfied are you with your total compensation (salary, bonus, and benefits combined)?

척도: 1 – 10
최소:Very dissatisfied최대:Very satisfied
Q03
객관식필수

Compared to similar roles at other companies you're aware of, how does your pay compare?

  • Below market
  • About at market
  • Above market
  • Not sure / no basis for comparison
Q04
매트릭스필수

How much do you agree or disagree with each statement about your pay?

4개 행 × 5개 열
  • My pay reflects the contributions I make to the company
  • My pay is fair compared to peers doing similar work here
  • I understand how my pay and raises are determined
  • Raises and promotions here are based on merit, not favoritism
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
최선·최악 선택형(MaxDiff)필수

When you think about your ideal compensation package, which of these matter most to you and which matter least?

  • Base salary
  • Annual bonus
  • Equity or stock options
  • Health benefits
  • Retirement match
  • Paid time off
  • Flexible work arrangements
  • Career growth opportunities
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q06
점수 배분필수

If your company had 100 points of extra investment to put into your compensation package, how would you distribute it across these areas?

  • Base salary
  • Bonus/incentive pay
  • Benefits (health, retirement)
  • Paid time off
  • Flexible/remote work options
100점 배분
Q07
평점 척도필수

How would you rate the clarity of the process for how raises and promotions are decided here?

범위: 1 – 5
최소:Very unclear최대:Very clear
Q08
의견 척도필수

In the last 6 months, how often has your pay made you consider looking for another job?

척도: 0 – 10
최소:Never최대:Constantly
Q09
AI 인터뷰

Probe the specific reasons behind the respondent's satisfaction and fairness ratings, especially if they rated satisfaction low or disagreed that pay reflects contributions or matches peers. If they said their pay is below market or considered leaving due to pay, ask what specifically triggered that comparison or feeling and what change (dollar amount, benefit, or process fix) would meaningfully address it. If ratings were high across the board, ask what specifically makes the pay and process feel fair so it can be preserved.

Q10
객관식

In the last 12 months, how often have you discussed your compensation directly with your manager?

  • Never
  • Once
  • A few times
  • Regularly (every check-in or more)
Q11
객관식

Which best describes your department or function?

  • Engineering/Product
  • Sales
  • Marketing
  • Operations
  • Customer Support
  • Finance/HR
  • Other
  • Prefer not to say
Q12
객관식

How long have you been with the company?

  • Less than 1 year
  • 1-3 years
  • 3-5 years
  • 5-10 years
  • 10+ years
  • Prefer not to say
Q13
객관식

Which best describes your level?

  • Individual contributor
  • Team lead/Manager
  • Senior manager/Director
  • Executive/VP+
  • Prefer not to say
Q14
메시지

That's everything — thank you for your candor. Responses are aggregated and anonymized before they're shared with HR leadership to inform how we review pay and benefits.

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

  • Goes beyond a single satisfaction score by pairing an opinion scale with a market-comparison question and a matrix of fairness statements, then uses an AI follow-up interview to probe why perceptions of pay and market value diverge for that specific respondent.
  • Uses MaxDiff and constant-sum (100-point allocation) exercises to force real trade-off prioritization among compensation elements, not just Likert ratings.
  • Captures process fairness (clarity of raise/promotion process) and flight-risk signal (frequency of considering leaving due to pay) alongside pay perception, giving a fuller picture than pay-satisfaction-only templates.
  • Segments results by department, tenure, and level for free, and every AI probe follows a transparent, inspectable prompt rather than a black-box script.

QuestionPro

Salary and Compensation Survey Questions + Sample Questionnaire Template

This page reads more as a guide/sample-questionnaire resource than a ready-to-field template, bundling explanatory content with a list of sample questions. It's useful for question inspiration but likely requires manual assembly into a working survey. QuestionPro's broader platform supports standard survey logic and reporting.

잘하는 점

  • Provides context and rationale for question choices, useful for teams building a survey from scratch
  • Backed by an established survey platform with broad question-type support

아쉬운 점

  • Presented as sample questions/guide content rather than a fielding-ready template, requiring setup work
  • No adaptive AI follow-up to explore individual fairness/satisfaction gaps — static question list only

Typeform

Salary and Compensation Survey Template

A ready-to-use, conversational-style template well suited to Typeform's clean one-question-at-a-time UI. It covers core compensation satisfaction topics but, like most form builders, presents a fixed question set to every respondent. No mention of AI-driven probing or automated scoring of open responses.

잘하는 점

  • Polished, respondent-friendly interface known for high completion rates
  • Quick to deploy as a ready-made template

아쉬운 점

  • Static question flow — cannot adaptively probe a respondent's specific fairness rationale
  • No automated per-response quality scoring or transparent AI prompt methodology

SurveySparrow

Employee Compensation Survey Template | Collect Pay Feedback

A dedicated, fielding-ready template focused on collecting pay feedback, delivered through SurveySparrow's conversational survey format. It appears to cover general compensation feedback but doesn't indicate trade-off exercises like MaxDiff or constant-sum allocation. No adaptive AI interview layer is mentioned.

잘하는 점

  • Conversational, chat-like survey experience that can feel more approachable than a form
  • Ready-made template purpose-built for compensation feedback

아쉬운 점

  • No adaptive AI follow-up to dig into why an employee feels pay is fair or unfair
  • No indication of trade-off methods (e.g., MaxDiff, point allocation) for prioritizing compensation elements

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