
Merit Increases: A Step-by-Step Guide
Published: 21 Feb 2026
7 min read
Category: Insights
Merit increases work best when they’re treated as a repeatable decision process, not a once-a-year scramble. A good process balances three things: rewarding performance, managing internal equity, and staying within budget while producing outcomes leaders can explain with a straig
Key Takeaways
• Merit increase: an increase to base salary (not a bonus/one-off), typically linked to performance and position in range.
• Pay band / salary range: minimum–midpoint–maximum for a role/level.
• Midpoint: the market anchor for someone fully proficient at level.
• Compa-ratio: employee base salary ÷ range midpoint.
Merit decisions hold up better when they are supported by a clear salary benchmarking approach.
Merit increases work best when they’re treated as a repeatable decision process, not a once-a-year scramble. A good process balances three things: rewarding performance, managing internal equity, and staying within budget while producing outcomes leaders can explain with a straight face.
This article lays out a practical step-by-step approach, includes calibration tips, shows merit matrix examples (performance × compa-ratio), and calls out common mistakes. It uses familiar local terms like superannuation, TRP/package, remuneration, and pay bands without overdoing it.
Key Definitions (keep everyone aligned)
- Merit increase: an increase to base salary (not a bonus/one-off), typically linked to performance and position in range.
- Pay band / salary range: minimum–midpoint–maximum for a role/level.
- Midpoint: the market anchor for someone fully proficient at level.
- Compa-ratio: employee base salary ÷ range midpoint.
- TRP / package: often base + super (definitions vary by organisation be clear internally).
Tip: Run your process in base salary first, then convert communications to package/TRP if that’s how you offer.
Step-by-Step Merit Increase Process
Step 1: Set the merit budget and guardrails
Before managers touch spreadsheets, clarify:
- Total merit budget (e.g., 3.0% of eligible payroll)
- Eligibility rules (new starters, probation, performance improvement plans, contractors)
- Minimum/maximum increase guidance (e.g., 0% to 6% typical; exceptions require approval)
- Treatment of employees over range max (e.g., limited base increase; use one-off award)
- How promotions and market adjustments interact (avoid double-dipping or missing critical fixes)
Practical guardrail examples
- Promotions are handled separately from merit (recommended).
- Market adjustments are handled separately (recommended).
- Merit is for performance and progression within the level.
Step 2: Confirm salary ranges and midpoint accuracy
Merit decisions rely on compa-ratio so if midpoints are out of date, your matrix will misfire.
Quick checks:
- Have ranges been refreshed in the last 12 months?
- Are key roles (hard-to-hire, fast-moving markets) still aligned to reality?
- Are you consistently using base vs TRP?
If you can’t refresh everything, at least validate midpoints for your priority families.
Step 3: Finalise performance ratings (with evidence)
Merit is only as fair as your performance input.
Do a quick quality check before money is allocated:
- Are rating definitions clear (e.g., “Exceeds” means what, exactly)?
- Are there teams with suspiciously high/low distributions?
- Are ratings consistent across similar roles/levels?
Practical tip: Ask managers for 2–3 evidence bullets per person tied to goals/impact. It helps reduce recency bias and makes calibration faster.
Step 4: Calculate compa-ratios and identify “must review” cases
For each eligible employee:
- Compa-ratio = base salary ÷ midpoint
Flag common cases for review:
- <0.85: likely low in range (potential internal equity risk)
-
1.15: high in range (may indicate promotion readiness or range max pressure)
- Above max: needs policy-driven approach (often one-off rather than base increase)
- Compression: newer hires paid close to or above longer-tenured incumbents
This is where you prevent the process from being purely “performance-only” and accidentally worsening inequity.
Step 5: Build your merit matrix (performance × compa-ratio)
A merit matrix gives managers consistent starting points. It does not remove judgement—but it makes judgement structured.
Simple 3×3 example (illustrative)
Compa-ratio bands
- Low: <0.90
- Mid: 0.90–1.10
- High: >1.10
Performance
- Needs Improvement
- Meets Expectations
- Exceeds Expectations
Merit matrix (increase % of base salary)
| Performance \ Compa-ratio | Low (<0.90) | Mid (0.90-1.10) | High (>1.10) |
|---|---|---|---|
| Exceeds Expectations | 4.5%-6.0% | 3.5%-5.0% | 2.0%-3.5% |
| Meets Expectations | 3.0%-4.0% | 2.0%-3.0% | 0.5%-2.0% |
| Needs Improvement | 0%-1.0% | 0% | 0% |
How to use it
- It naturally gives bigger increases to strong performers who are low in range (often the most retention-sensitive group).
- It controls increases for employees already high in range unless performance is exceptional.
- It gives a consistent approach for low performance (often 0% base increase).
4×4 example (more control, common in larger orgs)
Performance: Below / Meets / Strong / Outstanding
Compa-ratio bands: <0.85 / 0.85–1.00 / 1.00–1.15 / >1.15
| Performance \ Compa-ratio | <0.85 | 0.85-1.00 | 1.00-1.15 | >1.15 |
|---|---|---|---|---|
| Outstanding | 6%-8% | 5%-7% | 3%-5% | 2%-4% |
| Strong | 5%-7% | 4%-6% | 2.5%-4% | 1%-2.5% |
| Meets | 3%-5% | 2%-4% | 1%-2.5% | 0%-1% |
| Below | 0%-1% | 0% | 0% | 0% |
Budget tip: You can tune these ranges to match your overall merit pool by adjusting the middle cells first.
Step 6: Managers propose increases using the matrix + justification
Have managers submit:
- Proposed % increase (or dollar)
- Performance rating
- Compa-ratio and range position
- Short rationale (2–3 bullet points)
- Flag if any exception (e.g., retention risk, skill scarcity, internal equity fix)
Practical guidance managers understand
- Merit ≠ promotion
- Merit rewards performance at current scope
- If someone is consistently at the top of the range and still growing, that’s a promotion conversation, not endless merit at max
Step 7: Run calibration sessions (this is where fairness happens)
Calibration is how you prevent “easy graders” and “hard graders” from creating pay inequity.
Calibration tips that actually work
- Start with distributions, not individuals
- Compare rating distributions by team, level, and function.
- Use prompts that focus on impact
- “What changed because of this person’s work?”
- “How does their impact compare to peers at the same level?”
- Watch for bias patterns
- Recency bias (last two months overweighted)
- Like-me bias
- Visibility bias (loud work rewarded over high-impact quiet work)
- Check for pay equity drift
- If two people are similar performance/level but compa-ratios are wildly different, ask why.
- Calibrate exceptions centrally
- Create a short list of “exception requests” and review them consistently.
A simple calibration agenda (60–90 minutes)
- Review merit matrix rules and budget
- Review team distributions (ratings + proposed increases)
- Review outliers (very high increases, 0% increases, above-max cases)
- Confirm equity checks (compression flags, protected group checks where appropriate)
- Lock outcomes and document exceptions
Step 8: Final approval + payroll implementation
Before you lock:
- Ensure totals match budget (include on-cost considerations if needed)
- Confirm compliance with any award/enterprise agreement constraints (where applicable)
- Validate that salary changes won’t create new inversions (manager/direct report anomalies, etc.)
- Confirm effective dates and pro-rating rules
Then feed into payroll/HRIS and prepare manager comms.
Step 9: Communicate clearly (and consistently)
Managers should be able to explain:
- performance outcome (what drove it)
- how pay positioning influenced the decision
- what the employee can do to progress next cycle
Avoid over-sharing formulas, but do give a consistent narrative:
- “Merit reflects performance and where you sit within the pay band.”
If your org communicates in package/TRP, convert numbers carefully and explain superannuation clearly.
Common Mistakes (and how to avoid them)
- Mixing merit with promotions
- Result: inconsistent increases and budget blowouts.
- Fix: separate promotion increases from merit.
- Using ratings without calibration
- Result: inequity across teams; morale issues.
- Fix: run calibration sessions with shared standards.
- Treating the matrix as a strict rule
- Result: managers stop thinking; edge cases handled badly.
- Fix: matrix is a starting point; require justification for exceptions.
- Ignoring compa-ratio / range position
- Result: inequity drift and retention risk (especially for underpaid strong performers).
- Fix: always review low-in-range high performers.
- Overpaying at the top of the band
- Result: you hit range maximums and have nowhere to go.
- Fix: use promotion paths or one-offs; review role scope.
- Letting “retention” become a loophole
- Result: the best negotiators win, not the best performers.
- Fix: define scarcity/retention criteria and approve centrally.
- Not pressure-testing outcomes for compression
- Result: new hires paid close to incumbents, causing disengagement.
- Fix: check compression and adjust thoughtfully (sometimes via targeted equity/market adjustments).
Practical “Merit Process Starter Kit” (copy/paste)
Inputs
- Updated pay bands (min–mid–max)
- Final ratings (and definitions)
- Eligible employee list
- Merit pool % and rules
- Compa-ratio calculation
Outputs
- Proposed increases by manager
- Exception list + rationale
- Calibrated final increases
- Communication talking points
Governance
- One matrix across the org (or per job family if markets differ significantly)
- Central review of exceptions
- Post-cycle review: What changed? Where did the matrix break?
Optional: A Simple Post-Cycle Review (so next year is easier)
After implementation, review:
- How many people moved closer to midpoint?
- Where did you see the most exceptions (and why)?
- Did you worsen or reduce compression?
- Are any pay bands now clearly out of date?
This closes the loop and improves the structure over time.
Turn these insights into a practical remuneration decision framework with one focused service.
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