Trend Analysis Techniques for Pulse Data

This lesson covers time based analysis and practical methods to identify meaningful trends in pulse data related to harassment and inclusion.
Trend Analysis Techniques for Pulse Data
This lesson covers time based analysis and practical methods to identify meaningful trends in pulse data related to harassment and inclusion.

Understanding time series basics

Pulse metrics are collected at regular intervals. Look for direction, strength, and persistence of trends rather than single spikes. Visualize data with line charts to spot gradual improvements or declines in safety and belonging.

Quantitative methods

Use moving averages, percent changes, and slope estimates to smooth noise and highlight real shifts. Be mindful of small sample sizes that amplify variability and may require aggregation or privacy safeguards.

Detecting meaningful changes

Control charts or rolling windows help distinguish normal variation from unusual events. Predefine thresholds to flag actions for investigation and response.

Interpretation tips

Compare trends across segments, over time, and alongside incidents. Look for consistent movement across related metrics to strengthen confidence in findings.