The Predictive Impact Model is an AI-powered analysis tool built into 15Five engagement surveys. It calculates which survey statements, if improved, would most increase overall engagement scores — for the organization as a whole or for specific groups. Access requires the Engage or Total Platform pricing package and a role with access to the HR Outcomes Dashboard.
Feature Structure
The model uses decision-tree regression to calculate how changes in individual statement responses would influence overall engagement scores.
- Predictive Impact Scores — Quantify each statement's effect on overall engagement. Scores with larger negative values indicate higher-priority improvement areas.
- Group-Specific Analysis — Scores are calculated at the individual level and aggregated by team, department, or custom segment. Each group's highest-impact statements can differ from the organization's overall results.
- Statements Tab — Predictive Impact Scores appear in the Statements tab of engagement survey results for each campaign.
Key Rules
- The model is available only to roles with access to the HR Outcomes Dashboard.
- Scores are recalculated for each engagement survey campaign — results are not carried forward from prior campaigns.
- The model draws on 15Five's dataset of over 600,000 completed engagement surveys to identify patterns. It does not use only your organization's data in isolation.
- Group-level scores require sufficient response volume to calculate. Groups with low response counts may not display scores.
- The Predictive Impact Model replaces legacy influence bubbles. See How does the Predictive Impact Model differ from influence bubbles? for comparison.
What You Can Do
Analyze
- Analyze Engagement Results Using the Statements Report
- Understand the Engagement Report
- Filter and Segment Engagement Campaign Results
- Heatmap Report — Engagement Survey Results
- Create an Action Plan from Engagement Survey Results