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HR16·Comp Review

Compensation Review Cycle Analysis

Extract compensation data, compare against benchmarks and equity signals, and produce budget-validated adjustment recommendations.

Before you start

What you’ll need

  • Access to current compensation records for each employee in the review cycle
  • Compensation benchmark data from an approved market survey source
  • Completed performance review pack for each employee under review
  • Compensation Benchmark Data
  • Current Compensation Records
  • Internal Equity Guidelines
  • Budget Allocation Parameters

Who’s involved

  • Compensation AnalystRuns the review cycle analysis and drafts adjustment recommendations for each employee.
  • HR ManagerValidates equity findings and approves the final recommendation rationale.
  • Finance PartnerConfirms budget alignment and approves allocation parameters before recommendations are finalized.

Safe use

  • Data HandlingThis workflow processes individual compensation records, performance ratings, and pay band data. Do not paste personally identifiable salary figures or employee names into public or unapproved GenAI tools.
  • VerificationGenAI may misinterpret benchmark ranges or fabricate market data points. Verify every benchmark comparison against the original source data before using recommendations in review discussions.

Execution steps

Hybrid

Inputs

  • Confirm performance review packs are complete for all employees in the review cycle
  • Confirm compensation benchmark data is current and matches your organisation’s market and geography
  • Confirm current compensation records include base, variable, and total compensation figures
  • Confirm internal equity guidelines and acceptable variance thresholds are documented
  • Confirm budget allocation parameters are approved by finance
  • Confirm personally identifiable information will be anonymized before prompting

Data Handling: Do not paste unredacted employee names or exact salary figures into the prompt; use anonymized identifiers and rounded ranges.

Prompt

Extract compensation and performance data points

CONTEXT
You will be provided with the following source documents:
1. Performance Review Pack
2. Compensation Benchmark Data
3. Current Compensation Records
4. Internal Equity Guidelines
5. Budget Allocation Parameters

TASK
Extract the following data points for each employee: current base compensation, variable compensation, total compensation, performance rating, tenure, role level, and any flagged development areas. Present the data in a structured table using anonymized employee identifiers.

OUTPUT FORMAT
Produce a markdown table with these columns:

| Employee ID | Role Level | Tenure (years) | Current Base | Variable | Total Comp | Performance Rating | Key Development Flags |

Use anonymized identifiers (e.g., EMP-001) rather than names. Round compensation figures to the nearest thousand. After the table, add a one-line count: "Total employees extracted: [N]"

CONSTRAINTS
Do not include personally identifiable information such as names or contact details. Do not infer compensation data not present in the source documents. Only include employees listed in the provided records.

Outputs

  • Compensation Data Extract
  • Confirm all employees in the source records appear in the extract
  • Confirm no personally identifiable information appears in the output
  • Confirm compensation figures match the source documents

Verification: Verify the AI has not omitted employees or misread compensation figures by spot-checking at least three entries against the source records.

GenAI

Inputs

  • Confirm the Compensation Data Extract is complete and accurate
  • Confirm benchmark data covers all role levels present in the extract

Prompt

Compare compensation against market benchmarks

CONTEXT
You will be provided with a Compensation Data Extract (structured table of employee compensation and performance data) and Compensation Benchmark Data (market survey ranges by role level and geography).

TASK
For each employee in the extract, compare their total compensation against the relevant benchmark range. Calculate the compa-ratio (actual total compensation divided by benchmark midpoint) and classify whether each employee falls below range, within range, or above range.

OUTPUT FORMAT
Produce a markdown table with these columns:

| Employee ID | Role Level | Total Comp | Benchmark P25 | Benchmark P50 | Benchmark P75 | Compa-Ratio | Position vs Range |

Position vs Range values: [Below Range | Lower Quartile | Mid-Range | Upper Quartile | Above Range].

Follow the table with:

## Summary
- Count of employees in each position category
- Average compa-ratio across the group
- Range of compa-ratios (lowest to highest)

CONSTRAINTS
Do not fabricate benchmark figures — use only the ranges provided in the benchmark data. Do not adjust or normalize compensation figures beyond what is stated in the source data. Only use benchmark categories that match the role levels in the extract.

Outputs

  • Confirm compa-ratios are calculated correctly against the stated benchmark midpoints
  • Confirm every employee has a position vs. range classification
  • Confirm summary counts match the detail table

Verification: Verify that AI-calculated compa-ratios match your manual spot-check of at least three employees against the benchmark source data.

GenAI

Inputs

  • Confirm the Benchmark Comparison Matrix includes compa-ratios for all employees
  • Confirm equity guidelines define acceptable variance thresholds

Prompt

Identify equity gaps and compensation outliers

CONTEXT
You will be provided with a Benchmark Comparison Matrix (employee compensation vs. market benchmarks with compa-ratios) and Internal Equity Guidelines (pay band structures, equity policies, and acceptable variance thresholds).

TASK
Analyze the comparison matrix against the equity guidelines to identify: (1) employees whose compa-ratio falls outside acceptable thresholds, (2) equity gaps between employees at the same role level with comparable performance, and (3) any patterns that suggest systemic misalignment.

OUTPUT FORMAT
## Outlier Flags
| Employee ID | Issue Type | Current Compa-Ratio | Acceptable Range | Gap Description |

Issue Type values: [Below Threshold | Above Threshold | Peer Equity Gap | Systemic Pattern]

## Equity Gap Summary
For each identified pattern, provide:
- **Pattern**: one-sentence description
- **Affected Employees**: list of Employee IDs
- **Severity**: [High | Medium | Low]
- **Recommended Action**: one-sentence next step

## Risk Notes
Bullet list of any compliance or fairness risks identified.

CONSTRAINTS
Do not flag employees as outliers unless their data falls outside the thresholds defined in the equity guidelines. Do not speculate about causes of gaps — report only what the data shows. Do not include recommendations that contradict the stated equity guidelines.

Outputs

  • Confirm outlier flags reference specific equity guideline thresholds
  • Confirm severity ratings align with the magnitude of gaps identified
  • Confirm no speculative causes are included in the analysis
GenAI

Inputs

  • Confirm all equity gaps and outliers have been reviewed in the previous step
  • Confirm budget allocation parameters are available for cost impact calculation

Prompt

Generate adjustment recommendations with rationale

CONTEXT
You will be provided with an Equity Gap Analysis (outlier flags, equity gaps, and risk notes) and Budget Allocation Parameters (total available adjustment budget and any allocation rules).

TASK
For each flagged employee or group, draft a specific compensation adjustment recommendation. Include the rationale linking each recommendation to a benchmark finding or equity gap. Calculate the total cost of all recommendations.

OUTPUT FORMAT
## Recommended Adjustments
| Employee ID | Current Total Comp | Recommended Adjustment | New Total Comp | Rationale Summary | Priority |

Priority values: [Critical | High | Medium | Low]

## Budget Impact
- Total recommended adjustment cost: [amount]
- Available budget: [amount]
- Variance: [amount over/under]

## Rationale Details
For each Critical and High priority adjustment, provide a 2–3 sentence explanation linking the recommendation to specific benchmark or equity findings.

EXAMPLE
| EMP-003 | 85,000 | +8,500 (10%) | 93,500 | Below P25 for role level with Strong performance rating; peer equity gap of 12% vs. comparable employees | Critical |

CONSTRAINTS
Do not recommend adjustments that lack a traceable link to a benchmark comparison or equity gap finding. Do not include cost-of-living or inflation adjustments unless the equity guidelines explicitly require them. Do not round recommendations to create artificial uniformity.

Outputs

  • Draft Adjustment Recommendations
  • Confirm every recommendation links to a specific benchmark or equity finding
  • Confirm total cost calculation is arithmetically correct
  • Confirm priority ratings reflect the severity of the underlying gap

Verification: Verify that AI-generated adjustment amounts do not introduce values absent from the benchmark or equity analysis inputs.

Hybrid

Inputs

  • Confirm draft recommendations include total cost and priority ratings
  • Confirm the budget envelope figure is current and approved

Prompt

Validate recommendations against budget constraints

CONTEXT
You will be provided with Draft Adjustment Recommendations (prioritized list with budget impact) and Budget Allocation Parameters (approved budget envelope and allocation rules).

TASK
Review each recommendation against the budget envelope. If total recommendations exceed the budget, suggest prioritized funding scenarios: (1) fund all Critical items only, (2) fund Critical and High items, (3) fund all items. For each scenario, show the total cost and remaining budget.

OUTPUT FORMAT
## Scenario Analysis
For each scenario:
- **Scenario Name**: brief label
- **Included Priorities**: which priority levels are funded
- **Total Cost**: sum of adjustments
- **Budget Remaining**: available budget minus total cost
- **Unfunded Items**: count and total value of deferred adjustments

## Recommended Scenario
One sentence stating which scenario fits within budget while addressing the highest-risk gaps.

CONSTRAINTS
Do not modify individual adjustment amounts — only include or exclude items by priority. Do not create scenarios that exceed the stated budget envelope. Do not recommend splitting individual adjustments across review periods unless budget parameters explicitly allow phased implementation.

Outputs

  • Budget-Validated Recommendations
  • Confirm no scenario exceeds the approved budget envelope
  • Confirm unfunded items are clearly listed with their total value
GenAI

Inputs

  • Budget-Validated Recommendations
  • Equity Gap Analysis
  • Benchmark Comparison Matrix
  • Confirm the approved scenario from budget validation is finalized
  • Confirm equity gap analysis and benchmark matrix are available for evidence tracing

Data Handling: Do not include the full budget allocation spreadsheet in the prompt; reference only the approved scenario totals and funded adjustment list.

Prompt

Compile final compensation recommendation rationale

CONTEXT
You will be provided with Budget-Validated Recommendations (approved scenario with funded adjustments), the Equity Gap Analysis (outlier flags and equity patterns), and the Benchmark Comparison Matrix (compa-ratios and position vs. range data).

TASK
Compile a Compensation Recommendation Rationale document that presents the final approved adjustments with full supporting evidence. For each adjustment, trace the rationale from the original benchmark comparison through the equity analysis to the final recommendation. Include an executive summary suitable for review by senior leadership.

OUTPUT FORMAT
## Executive Summary
3–5 sentences: total number of adjustments, total cost, key themes (e.g., market realignment, equity correction), and overall budget impact.

## Adjustment Detail
For each approved adjustment:
### [Employee ID] — [Role Level]
- **Current Compensation**: [amount]
- **Recommended Adjustment**: [amount and percentage]
- **New Compensation**: [amount]
- **Benchmark Position**: before and after compa-ratio
- **Rationale**: 2–3 sentences tracing the evidence chain
- **Priority**: [Critical / High / Medium / Low]

## Methodology Note
2–3 sentences describing the approach: data sources used, comparison method, and equity validation applied.

## Appendix References
- Benchmark Comparison Matrix (reference)
- Equity Gap Analysis (reference)
- Budget Allocation Parameters (reference)

CONSTRAINTS
Do not include adjustments that were excluded during budget validation. Do not add qualitative assessments beyond what the data supports. Do not include personally identifiable information — use anonymized employee identifiers throughout.

Outputs

  • Confirm every approved adjustment includes a traceable evidence chain
  • Confirm the executive summary accurately reflects total cost and adjustment count
  • Confirm no excluded adjustments appear in the final document
  • Confirm the document uses anonymized identifiers throughout

Verification: Verify the executive summary figures match the detail section totals before sharing with senior leadership.

Reference

Guardrails

  • Evidence-Based Adjustments OnlyEvery recommendation must trace to a specific benchmark comparison or equity gap finding, not subjective judgment or unsubstantiated AI-generated rationale.
  • Anonymize Before PromptingRemove personally identifiable information from compensation data before including it in any GenAI prompt; use anonymized identifiers and rounded figures.
  • Budget Envelope BindingRecommendations must fit within the stated budget allocation; do not accept AI-generated adjustments that exceed available funds without explicit human approval.

Pitfalls

  • Pasting individual employee names and exact salary figures into the GenAI prompt without anonymizing first.
  • Accepting AI-generated benchmark comparisons without verifying the source data ranges match your organisation’s market and geography.
  • Using AI-recommended adjustment percentages directly without validating against your internal equity guidelines and pay band structures.
  • Skipping the budget validation step and presenting recommendations that exceed the approved allocation envelope.

Definition of Done

  • Every recommended adjustment links to a specific benchmark comparison or equity gap finding in the rationale document.
  • The Compensation Recommendation Rationale includes a traceable evidence chain that a non-specialist reviewer can follow.
  • Total recommended adjustments fit within the stated budget allocation parameters.
  • No personally identifiable information appears in any AI-generated artifact.

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AGASI AiOS · HR16 v1.0 · Apr 8, 2026