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 recall to surface any previously defined KPIs, metric baselines, or product stage context.
Use recall 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 write_file 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 write_file 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_agent 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 recall to correlate metric movements with stored product changes and release history to distinguish signal from noise.
Use write_file to propose one clear product action per major metric risk or opportunity found.
Use write_file to save the metric framework, dashboard design, and analysis findings.

v1 (curated)