Insight Scoring System
The Insight Score is a powerful feature that helps you identify and prioritize the most significant insights across your customer journeys. This score combines impact and reliability metrics to give you a clear picture of which insights deserve immediate attention.
How the Score Works
The Insight Score is calculated by combining two key factors:
Impact Factor
Measures the total magnitude of experience impact from your evidence
Aggregates sentiment scores from individual pieces of evidence
Uses absolute values to reflect the overall impact, regardless of whether the feedback is positive or negative
Reliability Factor
Evaluate the diversity and quantity of your evidence sources
Increases with the number of unique data points (e.g., support logs, interviews)
Reaches maximum value only when multiple source types are combined
Reading the Score
Each insight card displays a score badge that represents the multiplication of Impact and Reliability factors. The higher the score, the more significant and well-validated the insight is.
Example:
An insight with 4 support logs might have a reliability score of 13.33
The same insight with 10 support logs would increase to a reliability score of 33.33
To maximize the value of Insight Score:
Collect evidence from multiple sources (interviews, support logs, surveys, feedback)
Aim for at least 2-3 different source types per insight
Note that collecting too many pieces of evidence from a single source type at some point provides diminishing returns
Using the Score for Analysis
The Insight Score enables you to:
Sort insights by the score in the Insights tab
Quickly identify high-priority areas for action
Compare the relative importance of different customer pain points
Validate research findings across multiple data sources