> ## Documentation Index
> Fetch the complete documentation index at: https://docs.quivly.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Testing

> Test health score configurations before publishing

## Overview

The Test tab in **Settings > Health Scores** lets you calculate a health score for any customer using either the published configuration or an unpublished draft, so you can validate changes before publishing.

***

## Running a Test

<Steps>
  <Step title="Select a Customer">
    Use the customer search to find a customer by name or domain.
  </Step>

  <Step title="Select a Configuration Version">
    Choose between the current **Published** version or the **Unpublished Draft** (if one exists).
  </Step>

  <Step title="Calculate">
    Click **Calculate** to run the health score computation for that customer.
  </Step>
</Steps>

***

## Test Results

The results display:

* **Score** - The calculated health score (0-100) with a color-coded risk level badge
* **Version** - Which configuration was used (Draft or published version number)
* **Progress bar** - Visual score position on a 0-100 scale

### Score Breakdown

A table shows how the score was computed:

| Column           | Description                                                 |
| ---------------- | ----------------------------------------------------------- |
| **Category**     | Revenue, Product Usage, Engagement, Support, Market Signals |
| **Score**        | Individual category score (0-100)                           |
| **Weight**       | Category weight percentage                                  |
| **Contribution** | Weighted score contribution to the total                    |

### Metric Details

Expand any category row to see the individual metrics:

* **Metric label** - Name of the metric
* **Raw value** - The actual data value
* **Bucket** - Which scoring bucket the value falls into
* **Score** - The normalized metric score