This lesson establishes the purpose, data sources, and framing for analyzing pulse data related to workplace harassment and inclusion.
Introduction to Analyzing Pulse Data: Goals, Data Sources, and Framing Questions
This lesson establishes the purpose, data sources, and framing for analyzing pulse data related to workplace harassment and inclusion.

Purpose of pulse data analysis

Pulse data helps organizations monitor culture health by measuring perceptions of harassment and inclusion over time. The goal is to detect trends, identify hotspots, and inform targeted actions that reduce harm and improve belonging.

Data sources and privacy

Use monthly or quarterly pulse surveys, incident reports, training records, and HR data. Protect privacy, obtain consent, and ensure data quality and accuracy. Build a clear data dictionary for roles, demographics, and time periods.

Framing questions

Frame questions that align with the metrics framework: baselines, targets, segmentation, and time horizons. Each question should have a measurable signal and a planned action in response to results.

Outputs and impact

Expected outputs include dashboards, executive summaries, and concrete action plans. The aim is to translate data into steps that reduce harassment and strengthen inclusive practices.