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Overview

Health scores provide a composite view of customer health, but the category breakdown is where actionable insight lives. This page covers how to read scores effectively.

Reading the Score

The overall score (0-100) maps to a risk level based on your configured score buckets. By default:
Risk LevelRangeSuggested Action
Healthy75-100Maintain cadence, explore expansion
Medium50-74Monitor trends, standard touchpoints
High Risk25-49Increase engagement, address specific issues
Critical0-24Urgent intervention needed

Using the Category Breakdown

The overall score is a starting point. Click into the Health Score tab on any customer to see the category breakdown and identify which area is driving the score up or down. What to look for:
  • Lowest category score - This is where to focus intervention
  • Score vs weight mismatch - A low score in a heavily weighted category has outsized impact
  • Category with the most change - Use the trend indicator to spot which areas are shifting

On the Health Score tab, the history chart shows score changes over time:
  • Gradual decline over weeks suggests a real trend that needs attention
  • Sudden drop may indicate a specific event (e.g., spike in support tickets, missed renewal)
  • Score change at a version marker indicates a configuration change, not a change in customer behavior

When Scores Don’t Match Expectations

If a score doesn’t align with your knowledge of the customer:
  • Check for missing data - A disconnected integration or missing usage data can skew scores
  • Review individual metrics - Use the Test tab or the score breakdown to see which metrics are contributing unexpected values
  • Consider timing - New customers in onboarding may have low scores that improve as they ramp up