What problem does it solve?
This Skill eliminates manual, error-prone compensation benchmarking work by automating the process of building pay bands from market survey data, ensuring alignment with firm compensation philosophy and pay transparency laws to reduce legal risk and pay inequity.
Core Features & Use Cases
- Survey-aligned pay band generation: Pulls percentile data from Radford, Pave, Carta, or custom CSV exports to build data-backed base, equity, and bonus/OTE bands.
- Compliance-first public ranges: Automatically formats pay ranges that meet NYC LL 32-A, CO/CA/WA pay transparency requirements, with warnings for bands that fall below "good faith" width thresholds.
- Audit-ready reporting: Generates full internal benchmark reports with documented fallback chains for low-sample survey cells, calibration notes, and JSONL audit records to support annual pay equity reviews.
Use case: A comp analyst can use this Skill to generate a fully compliant pay band for a senior software engineer in San Francisco in minutes, instead of manually cross-referencing multiple survey sources and checking regional legal requirements.
Quick Start
Provide the role definition, valid compensation survey export, and your firm's compensation philosophy file to the compensation-benchmark skill to receive a complete, compliant pay band recommendation and public-facing range report.