About member-insights
A member-insights skill for teams tracking loyalty program health, planning personalization, and reporting experiments. It organizes member data into segments, KPIs, experiment measures, and stakeholder-ready outputs.
Key features
- 01Member data source mapping
- 02Lifecycle and engagement segmentation
- 03Program KPI tracking
- 04Experiment guardrail planning
- 05Dashboards, alerts, and memos
Use cases
- 01Monitoring program health by tier or region
- 02Planning loyalty-based personalization
- 03Reporting experiment outcomes
- 04Prioritizing operational and marketing actions
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/member-insightsin Claude Code to confirm it loaded.
Details
From the project READMEMember Insights Skill
When to Use
- Monitoring program health across tiers or regions.
- Designing personalization campaigns based on loyalty data.
- Reporting experiment outcomes to stakeholders.
Framework
- Data Sources – transaction systems, product telemetry, MAP/CRM, support, survey tools.
- Segmentation – tier, lifecycle stage, engagement score, risk/comeback cohorts.
- Metrics – enrollment funnel, active members, point velocity, redemption, incremental revenue.
- Experimentation – define guardrail metrics, success criteria, and monitoring cadence.
- Insight Distribution – dashboards, alerts, and story-driven memos for GTM teams.
Templates
- KPI scorecard (metric → target → actual → variance → owner).
- Segment heatmap (cohort → engagement → action recommendation).
- Experiment readout template (hypothesis, lift, guardrails, next steps).
Tips
- Blend quantitative metrics with VOC snippets for context.
- Tag insights with urgency so ops/marketing can prioritize quickly.
- Pair with
monitor-loyaltycommand to ensure consistent reporting structure.
Comments
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