Measuring inclusion requires reliable data: track harassment reports, time to resolution, and the experience of intersecting identity groups. Use surveys and audit results to identify gaps.

Data governance: protect confidentiality, minimize bias in data collection, and ensure analysts understand intersectionality when interpreting results.

Dashboards and cadence: publish regular dashboards showing progress, with leadership review meetings and action plans linked to results.

Continuous improvement: close the feedback loop by translating insights into policy updates, training revisions, and process changes that reduce harassment and improve inclusion.