Compensation planning is the process of determining how your organization pays people: and making sure those decisions are consistent, competitive, and fair. Without a plan, pay decisions pile up over time: ad-hoc offers during hiring, reactive raises to prevent departures, merit budgets distributed without clear criteria. The result is a comp structure that costs too much and still doesn't retain the people you want to keep. See how Confirm handles performance management.
This guide walks through the full compensation planning process: how to benchmark salaries, build pay structures, run pay equity analysis, and connect compensation decisions to performance. It's built for HR leaders and finance teams who need to turn a messy set of pay decisions into a coherent strategy.
What you'll get: A step-by-step framework for compensation planning, a salary benchmarking methodology, a pay equity audit checklist, and templates for communicating pay decisions to employees.
What Is Compensation Planning?
Compensation planning is the annual (or quarterly) process of reviewing and adjusting your organization's pay structure. It covers:
- Salary benchmarking: comparing your pay ranges to market data to see if you're competitive
- Pay structure design: setting pay grades, bands, and ranges for each role
- Merit increase budgeting: allocating annual raise budgets based on performance and market movement
- Pay equity analysis: identifying and correcting unexplained pay gaps by gender, race, or other demographics
- Total rewards review: ensuring base pay, bonuses, benefits, and equity add up to a competitive offer
It's not a one-time project. Compensation planning should happen at least annually, with mid-year check-ins when market data shifts significantly.
Why Compensation Planning Matters
The obvious answer is retention. People leave for money. But the less obvious problem is that unclear comp structures create management problems that show up everywhere else:
- Managers make inconsistent offers because they don't know the ranges
- High performers feel undervalued when they can't see a path to higher pay
- Pay equity gaps accumulate and become legal exposure
- Merit budgets get distributed based on relationships, not results
A good compensation plan solves all of these. It gives managers guardrails. It gives employees visibility. It gives leadership a defensible answer to "why does this person make more than that person?"
The Compensation Planning Process (Step by Step)
Step 1: Benchmark Your Current Pay
Before you can fix anything, you need to know where you stand. Pull market data for every role in your organization and compare your midpoints to the 50th percentile (median) for your market.
For salary data, use at least two sources. The most commonly used are:
| Source | Best For | Cost |
|---|---|---|
| Radford / Aon | Tech companies, executive roles | $5K–$20K/year |
| Mercer | Enterprise HR, cross-industry | $3K–$15K/year |
| Payscale | Mid-market, broad job families | $1K–$5K/year |
| Levels.fyi | Engineering and product roles | Free |
| Glassdoor / LinkedIn Salary | Initial benchmarks only | Free |
| Bureau of Labor Statistics | Compliance and audits | Free |
Match each role to a benchmark job in your data source using job family, scope, and level. Then calculate your compa-ratio: the ratio of each employee's pay to the market midpoint.
Compa-ratio formula: (Employee salary ÷ Market midpoint) × 100
A compa-ratio of 100 means exactly at market. Below 80 is typically underpaid. Above 120 means you're paying a premium.
Step 2: Build or Refresh Your Pay Structure
A pay structure is a set of defined pay grades, each with a minimum, midpoint, and maximum salary range. Most organizations use 8–15 pay grades, spanning from entry-level individual contributors to the executive team.
To build a pay structure from your benchmark data:
- Group jobs by grade: jobs in the same grade have similar scope, complexity, and market value
- Set midpoints: typically 100% of the market median for each grade
- Set range spreads: typically 50%–80% wide (e.g., a $100K midpoint might have a $75K min and $125K max)
- Test for overlap: adjacent grades usually overlap by 25%–50% to allow for promotions without large jumps
| Grade | Minimum | Midpoint | Maximum | Typical Roles |
|---|---|---|---|---|
| L3 | $65,000 | $80,000 | $95,000 | Associate / Coordinator |
| L4 | $80,000 | $100,000 | $120,000 | Specialist / Analyst |
| L5 | $100,000 | $125,000 | $150,000 | Senior Specialist / Lead |
| L6 | $125,000 | $155,000 | $185,000 | Manager / Principal |
| L7 | $155,000 | $190,000 | $230,000 | Senior Manager / Director |
Step 3: Run Your Pay Equity Analysis
Before you allocate any raise budget, run a pay equity analysis. This compares pay across demographic groups: typically gender and race/ethnicity: after controlling for legitimate factors like role, level, tenure, and performance.
The goal is to identify unexplained gaps. A 15% pay difference between men and women might be entirely explained by level and tenure: or it might not. The analysis tells you which.
The basic approach:
- Pull all employee comp data: salary, level, years in role, performance rating, location
- Run a regression analysis controlling for those factors
- Flag any employees whose pay differs from predicted by more than ±10%
- Review flagged employees for legitimate explanations (specialized skills, retention risk, new hire premium)
- Remediate unexplained gaps in the next raise cycle
For a detailed methodology, see the Pay Equity Guide.
Step 4: Build Your Merit Increase Budget
Merit increases are annual raises tied to individual performance. The process starts with a budget: typically 3%–5% of total base payroll, though the right number depends on market movement and your comp philosophy.
In 2026, most companies are budgeting 3.2%–3.5% for merit increases based on current market surveys. Companies in competitive talent markets (especially tech) are budgeting higher for high performers.
Distribute the budget by performance rating:
| Performance Rating | Typical Merit % | Target Population |
|---|---|---|
| Exceeds Expectations | 5%–8% | 10%–15% of employees |
| Meets Expectations | 2%–4% | 65%–75% of employees |
| Needs Improvement | 0%–1% | 10%–15% of employees |
| Unsatisfactory | 0% | 5% or fewer |
For a detailed framework on connecting merit increases to calibrated performance ratings, see the Merit Increase Guide.
Step 5: Apply Compa-Ratio Adjustments
Don't just apply merit increases uniformly. Employees at the bottom of their pay range need larger increases to get to market. Employees already at the top of their range may need a smaller base increase (with more going to bonuses or one-time payments instead).
A common adjustment matrix looks like this:
| Performance Rating | Compa-Ratio <80% | Compa-Ratio 80%–100% | Compa-Ratio 100%–120% | Compa-Ratio >120% |
|---|---|---|---|---|
| Exceeds | 8%–10% | 6%–8% | 4%–6% | 0%–3% |
| Meets | 4%–6% | 3%–4% | 2%–3% | 0%–1% |
| Needs Improvement | 1%–2% | 0%–1% | 0% | 0% |
Step 6: Communicate Pay Decisions
Compensation planning fails most often at the communication step. Managers give raises without explaining why. Employees get a letter saying their salary changed but don't know how the decision was made. That creates more confusion: and more resentment: than the raise amount ever fixes.
Best practice is to give managers a script and data before the conversation:
- The employee's current compa-ratio (where they sit in the range)
- Their performance rating and how it maps to the merit budget
- The specific increase and the reasoning behind it
- The market data that informed the range
Employees who understand the process trust it: even when the raise is smaller than they hoped.
Salary Benchmarking: Getting It Right
Benchmarking is the foundation of compensation planning. Done well, it tells you where you're competitive and where you're not. Done poorly, it gives false confidence based on data that doesn't match your actual talent market.
Common benchmarking mistakes:
- Using a single data source: Different surveys capture different companies. Use at least two, weight them based on who you're competing with for talent
- Benchmarking by job title only: Two "Senior Engineers" can have vastly different scopes. Match by job content, not merely title
- Using national averages for local markets: A software engineer in San Francisco costs 40%–60% more than the same role in Austin. Geographic differentials matter
- Not aging the data: Compensation surveys from 18 months ago don't reflect today's market. Age data by 3%–5% per year
- Only benchmarking when something breaks: Annual benchmarking should be routine, not reactive
Connecting Compensation to Performance Management
Compensation and performance management are two systems that need to talk to each other. If your performance ratings aren't calibrated, your merit increases won't be fair: you'll end up rewarding managers who give generous ratings, not employees who actually perform.
The connection works in both directions:
- Performance ratings drive merit increases: calibrated, consistent ratings produce merit distributions that reflect real contribution
- Comp data informs retention decisions: when you know an employee is in the bottom quartile of their pay range, you can act before they're already halfway out the door
This is the core use case for compensation planning software: bringing pay data and performance data into the same view so HR and managers can see the full picture.
Pay Equity in Compensation Planning
Pay equity analysis should be integrated into your annual compensation planning cycle, not treated as a separate compliance project. When you're already reviewing all employee pay, the incremental work of running equity analysis is small.
Key pay equity metrics to track:
| Metric | What It Measures | Target |
|---|---|---|
| Unadjusted pay gap | Raw difference in median pay by gender/race | Track trend over time |
| Adjusted pay gap | Gap after controlling for role, level, tenure | <5% for any group |
| Promotion rate parity | Promotion rates across demographic groups at same level | Within 5% of majority group rate |
| Hire rate parity | Starting salaries for equivalent roles by demographic | <3% unexplained gap |
See the full pay equity audit methodology in the Pay Equity Guide.
Compensation Philosophy: The Foundation
Before you can plan compensation effectively, you need to decide what you're trying to accomplish. That's your compensation philosophy: a written statement of how your organization approaches pay and why.
The key questions a compensation philosophy answers:
- What percentile do we target? (50th, 75th, 90th of market?)
- How do we balance base pay vs. variable pay vs. equity?
- How does performance factor into pay decisions?
- What is our pay transparency policy?
- How do we handle geographic pay differences?
For a full framework and template, see the Compensation Strategy Guide.
Frequently Asked Questions
What's the difference between compensation planning and salary administration?
Salary administration is the day-to-day process of managing individual pay decisions: new hire offers, promotions, out-of-cycle adjustments. Compensation planning is the strategic, annual process of designing the overall pay structure, benchmarking to market, and allocating merit budgets. Both are necessary; salary administration operates within the guardrails set by compensation planning.
How often should we benchmark compensation?
At minimum, annually. In fast-moving talent markets (tech, healthcare, finance), every 6 months makes sense. Market data ages quickly: salary surveys are typically 12–18 months old by the time you receive them, so annual benchmarking is the minimum to stay current.
What's a reasonable merit increase budget for 2026?
Most compensation surveys for 2026 put the range at 3.2%–3.5% of total base payroll. Companies in competitive markets are budgeting higher: 4%–5%: especially for high-performer pools. The right number depends on your market, how competitive your current ranges are, and your retention goals.
Do we need compensation planning software?
Not necessarily. Small companies (under 100 employees) can run a solid compensation planning process in Excel. The case for software gets stronger when you have multiple locations, complex job families, or a large annual review cycle. The main benefits are: automated compa-ratio calculations, manager worksheets that enforce budget guardrails, and audit trails for pay equity documentation.
How does pay equity analysis work?
Pay equity analysis uses statistical regression to compare pay across demographic groups after controlling for legitimate pay factors (role, level, tenure, performance). If two employees with identical factors are paid differently based on gender or race, that's an unexplained gap that needs to be remediated. See the Pay Equity Guide for the full methodology.
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If you're looking for calibration software to standardize ratings across your organization, see how Confirm approaches it.
