Trust Center

Data Sources & Methodology

Our salary intelligence framework is designed for transparency, consistency, and decision-grade reliability.

Last updated: May 28, 2026

Source ingestion

We collect compensation signals from salary guides, job boards, recruitment firms, and selected public datasets.

Data is mapped into a common schema by role, seniority, employment type, geography, and currency before benchmarking.

Confidence scores are generated from sample depth, cross-source agreement, freshness, and statistical variance thresholds.

AI models convert structured benchmark trends into readable summaries, with safeguards to avoid overstatement or false precision.

Regional purchasing and currency effects are standardized so cross-market comparisons remain practical and fair.

Core benchmark datasets are reviewed on a rolling cadence with periodic major refreshes and incremental updates.

Step 1

Collect signals

Step 2

Normalize entities

Step 3

Model salary ranges

Step 4

Publish with confidence