student-success-scorecard
Metrics framework for monitoring engagement, progression, and completion.
Best use case
student-success-scorecard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Metrics framework for monitoring engagement, progression, and completion.
Teams using student-success-scorecard should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/student-success-scorecard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How student-success-scorecard Compares
| Feature / Agent | student-success-scorecard | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Metrics framework for monitoring engagement, progression, and completion.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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