The Predictive Impact Model is a machine learning tool built into 15Five's engagement reporting. It identifies which survey statements have the greatest effect on overall engagement scores.
Direct Answer
The Predictive Impact Model analyzes engagement survey data to predict how improving responses to specific statements would affect the overall engagement score.
Key Rules
- The model evaluates every survey statement and assigns each a Predictive Impact Score.
- A negative impact score on a statement means that statement is suppressing engagement — improving responses to it would increase the overall score.
- Statements with the most negative scores represent the highest-priority areas for action.
- The model updates based on your organization's actual response data, not a fixed formula.
- Admins and managers can use Predictive Impact Scores to create Action Plans directly within engagement reporting.
Common Misunderstanding
A negative Predictive Impact Score does not mean employees answered negatively on that statement. It means that statement, as currently scored, is pulling down overall engagement — improving it has high potential upside.