Overview
Each health score metric is scored from 0-100 based on its current value and configured thresholds. This page explains the scoring mechanics.Thresholds and Buckets
Each metric uses three threshold values that divide the score range into four buckets. The bucket a metric falls into determines its score. Example - “Days Since Last Call” with thresholds [14, 30, 60] and direction “lower is better”:| Value | Bucket | Score |
|---|---|---|
| 0-14 days | Healthy | 75-100 |
| 15-30 days | Medium | 50-74 |
| 31-60 days | High Risk | 25-49 |
| 60+ days | Critical | 0-24 |
Direction
Each metric specifies whether higher or lower values indicate better health:| Direction | Examples |
|---|---|
| Higher is better | MRR, call frequency, product usage |
| Lower is better | Days since last call, open tickets, outstanding balance, resolution time |
Available Metrics by Category
Revenue
- MRR (Monthly Recurring Revenue)
- Outstanding invoice balance
- Days until renewal
Product Usage
Metrics are automatically discovered from your data warehouse integration. Available metrics depend on what usage data you send to Quivly. Each usage metric supports a scoring basis (Trend + Volume, Absolute Value, Growth Percentage, or Absolute Difference) and a time period (30d to 1y).Engagement
- Days since last call
- Call frequency (configurable time period)
Support
- Open ticket count
- Ticket volume (configurable time period)
- First response time
- Resolution time
Market Signals
Scoring is automatic. Positive signals improve the score, negative signals reduce it. Configure the lookback period (30d or 90d).How Scores Combine
- Each metric receives a score (0-100) based on its value and thresholds
- Metrics within a category are averaged to produce a category score
- Category scores are multiplied by their weights and summed to produce the overall health score