Implementation guide
Automate Market Salary Analysis
Detailed training workflow for Automate Market Salary Analysis in HR & People.
hrcompensation
Guided walkthrough
Problem: HR teams manually compare internal data against 5+ survey providers, taking weeks. Normalize Titles AI maps internal 'Senior Dev' to Radfords/Mercer standard job codes. Market Gap analysis Identify employees currently +/- 15% from the market median for immediate review.
Advanced implementation notes
Total Rewards Benchmarking Suite Build an end-to-end compensation intelligence pipeline that normalizes internal titles to survey codes, blends data from multiple providers, models total rewards (base + equity + benefits), and generates individualized adjustment recommendations. Title Normalization AI maps your internal title taxonomy to standard codes across Radford, Mercer, Culpepper, and Aon. Handles edge cases like 'Staff Engineer' vs. 'Principal Engineer' using JD analysis. Multi-Source Blending Ingest survey data from 3-5 providers. AI calculates a
weighted composite using your peer group filter (industry, revenue, headcount, geography). Compa-Ratio Dashboard Calculate compa-ratio (actual pay ÷ market median) for every employee. Color-code: Green (0.90-1.10), Yellow (0.80-0.90 or 1.10-1.20), Red (<0.80 or >1.20). Total Rewards Modeling Beyond base salary: model the value of RSU vesting schedules, bonus targets, 401k match, healthcare premiums, and perks to show 'True Total Compensation' vs. market. Budget Impact Simulation Run 'What If' scenarios: 'Cost to bring all Red-zone employees to P50?' vs.
'Cost to bring to P65 for retention-critical roles?' AI generates budget requests with ROI projections. Age your survey data — if the survey is 6 months old, apply a 2-3% appreciation factor based on the relevant labor market index. Always use multiple survey sources — single-source benchmarking creates a false precision that can be off by 15-20%. Segment by geo-tier (Tier 1 metro, Tier 2, Remote) — a San Francisco P50 and a Nashville P50 can differ by $60K. Don't benchmark titles in isolation — two 'Senior Engineers' can have wildly different scopes;
use JD-based matching. Don't ignore equity when comparing against public companies — restricted stock can represent 30-50% of total comp at tech firms. Don't set all targets at P75 'because we want top talent' — this is unsustainable and signals a leveling problem. The 'Flight Risk Multiplier' Weight your adjustment recommendations by attrition probability. An employee at P35 compa-ratio with 3 years of tenure and a recent 'hot' job market in their specialty should get a 2x priority multiplier compared to an employee at the same compa-ratio with 10 years
of tenure and high engagement scores.