32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
---
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name: member-insights
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description: Use to analyze loyalty member behavior, segmentation, and experiment
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results.
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---
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# Member Insights Skill
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## When to Use
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- Monitoring program health across tiers or regions.
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- Designing personalization campaigns based on loyalty data.
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- Reporting experiment outcomes to stakeholders.
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## Framework
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1. **Data Sources** – transaction systems, product telemetry, MAP/CRM, support, survey tools.
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2. **Segmentation** – tier, lifecycle stage, engagement score, risk/comeback cohorts.
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3. **Metrics** – enrollment funnel, active members, point velocity, redemption, incremental revenue.
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4. **Experimentation** – define guardrail metrics, success criteria, and monitoring cadence.
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5. **Insight Distribution** – dashboards, alerts, and story-driven memos for GTM teams.
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## Templates
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- KPI scorecard (metric → target → actual → variance → owner).
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- Segment heatmap (cohort → engagement → action recommendation).
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- Experiment readout template (hypothesis, lift, guardrails, next steps).
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## Tips
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- Blend quantitative metrics with VOC snippets for context.
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- Tag insights with urgency so ops/marketing can prioritize quickly.
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- Pair with `monitor-loyalty` command to ensure consistent reporting structure.
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---
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