Product Analytics | Chalie Skills

What it does

Defining product KPIs, building metric dashboards, running cohort analysis, and interpreting feature adoption trends.

When this skill is activated, Chalie follows these steps:

Use memory to recall any previously defined KPIs, metric baselines, or product stage context.
Use memory to check for any previously stored metric framework preferences, then select the appropriate framework: AARRR for growth funnel visibility, North Star for cross-team alignment, or HEART for UX quality measurement.
Use document to define stage-appropriate KPIs: pre-PMF (activation rate, week-1 retention, time-to-first-value), growth (funnel conversion, monthly retained users, feature adoption), or mature (retention depth, revenue quality, operational efficiency).
Use document to design a three-layer dashboard: executive layer (5 to 7 directional metrics), product health layer (acquisition, activation, retention, engagement), and feature layer (adoption rate, depth, repeat usage).
Use code_eval to run cohort and retention analysis — segment by signup cohort or feature exposure cohort, compare retention curves, and identify inflection points around onboarding and first value moment.
Use memory to correlate metric movements with stored product changes and release history to distinguish signal from noise.
Use document to propose one clear product action per major metric risk or opportunity found.
Use document to save the metric framework, dashboard design, and analysis findings.

v1 (curated)