# Student Success Scorecard

> Metrics framework for monitoring engagement, progression, and completion.

Metrics framework for monitoring engagement, progression, and completion.

- Page: https://ss33.ai/skills/gtmagents/student-success-scorecard-78330884686
- Publisher: gtmagents
- Category: [Science & Education](https://ss33.ai/skills/category/science-and-education-pic2u9) › [Teaching & learning](https://ss33.ai/skills/category/science-and-education-pic2u9/teaching-and-learning-68ituv)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/edtech-growth/skills/student-success-scorecard/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/student-success-scorecard-78330884686

# Student Success Scorecard Skill

## When to Use
- Setting KPIs for new cohorts or programs.
- Diagnosing retention risks and intervention impact.
- Reporting to leadership, accreditation bodies, or partners.

## Framework
1. **Metric Stack** – inquiry-to-enrollment, onboarding completion, engagement streaks, assignment submissions, completion rate, CSAT/NPS.
2. **Segmentation** – by cohort, modality, persona, geography, instructor, partner.
3. **Risk Signals** – inactivity thresholds, support ticket spikes, sentiment drops.
4. **Intervention Tracker** – log nudges, coaching sessions, community events, results.
5. **Insight Narrative** – highlights, risks, opportunities, recommended actions.

## Templates
- Scorecard dashboard layout (summary + drill-down tabs).
- Risk heatmap template for cohorts/segments.
- Intervention log sheet linking actions to KPI movement.

## Tips
- Automate data pulls from LMS/CRM to reduce manual effort.
- Pair leading indicators (logins, submissions) with lagging outcomes (completion, placement).
- Use with `launch-student-success-program` to define monitoring cadence.

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