# Usage Health Scorecard

> Framework for monitoring activation, engagement, and monetization guardrails.

Framework for monitoring activation, engagement, and monetization guardrails.

- Page: https://ss33.ai/skills/gtmagents/usage-health-scorecard-46796268012
- Publisher: gtmagents
- Category: [Business](https://ss33.ai/skills/category/business-y1h0vy) › [Product & project management](https://ss33.ai/skills/category/business-y1h0vy/product-and-project-management-wl4wjr)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/product-led-growth/skills/usage-health-scorecard/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/usage-health-scorecard-46796268012

# Usage Health Scorecard Skill

## When to Use
- Tracking activation/retention metrics for self-serve and hybrid customer cohorts.
- Monitoring the impact of PLG experiments on core product health.
- Sharing health snapshots with product, growth, and CS leads.

## Framework
1. **Metric Groups** – activation, engagement, collaboration, monetization, support load.
2. **Segmentation** – persona, plan, cohort, region, product area.
3. **Thresholds** – traffic light ranges for each metric with warning/critical bands.
4. **Alerting** – notification rules for drops, anomalies, or experiment impacts.
5. **Action Registry** – log remediation steps, owners, due dates, and results.

## Templates
- Scorecard layout (metric, current, target, delta, owner).
- Dashboard wireframe with spark lines + annotations.
- Action tracker for follow-up tasks linked to health changes.

## Tips
- Pair with `launch-in-app-experiments` to watch guardrails post-launch.
- Include qualitative signals (support tags, NPS) to contextualize telemetry.
- Archive snapshots to tell longitudinal stories in QBRs.

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