Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Opinion ScaleRequired
Overall, how satisfied are you with your total compensation (salary, bonus, and benefits combined)?
Scale: 1 – 10
Min:Very dissatisfiedMax:Very satisfied
Q03
Multiple ChoiceRequired
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
MatrixRequired
How much do you agree or disagree with each statement about your pay?
4 rows × 5 columns
- 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
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Best–Worst Trade-off (MaxDiff)Required
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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q06
Point AllocationRequired
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
Allocate 100 points
Q07
Rating ScaleRequired
How would you rate the clarity of the process for how raises and promotions are decided here?
Range: 1 – 5
Min:Very unclearMax:Very clear
Q08
Opinion ScaleRequired
In the last 6 months, how often has your pay made you consider looking for another job?
Scale: 0 – 10
Min:NeverMax:Constantly
Q09
AI Interview
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
Multiple Choice
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
Multiple Choice
Which best describes your department or function?
- Engineering/Product
- Sales
- Marketing
- Operations
- Customer Support
- Finance/HR
- Other
- Prefer not to say
Q12
Multiple Choice
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
Multiple Choice
Which best describes your level?
- Individual contributor
- Team lead/Manager
- Senior manager/Director
- Executive/VP+
- Prefer not to say
Q14
Message
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.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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 TemplateThis 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.
What it does well
- 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
Where it falls short
- 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 TemplateA 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.
What it does well
- Polished, respondent-friendly interface known for high completion rates
- Quick to deploy as a ready-made template
Where it falls short
- 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 FeedbackA 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.
What it does well
- Conversational, chat-like survey experience that can feel more approachable than a form
- Ready-made template purpose-built for compensation feedback
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.