Define product KPIs, design dashboards, and analyze retention, feature adoption, and conversion. Choose metrics suited to each product stage, compare groups of users over time, and turn meaningful changes into concrete product actions.
Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
Review the instructions the agent will receive before you install.
Define, track, and interpret product metrics across discovery, growth, and mature product stages.
Use this skill for:
See:
references/metrics-frameworks.mdreferences/dashboard-templates.md| Anti-pattern | Fix |
|---|---|
| Vanity metrics — tracking pageviews or total signups without activation context | Always pair acquisition metrics with activation rate and retention |
| Single-point retention — reporting "30-day retention is 20%" | Compare retention curves across cohorts, not isolated snapshots |
| Dashboard overload — 30+ metrics on one screen | Executive layer: 5-7 metrics. Feature layer: per-feature only |
| No decision rule — tracking a KPI with no threshold or action plan | Every KPI needs: target, threshold, owner, and "if below X, then Y" |
| Averaging across segments — reporting blended metrics that hide segment differences | Always segment by cohort, plan tier, channel, or geography |
| Ignoring seasonality — comparing this week to last week without adjusting | Use period-over-period with same-period-last-year context |
scripts/metrics_calculator.pyCLI utility for retention, cohort, and funnel analysis from CSV data. Supports text and JSON output.
# Retention analysis
python3 scripts/metrics_calculator.py retention events.csv
python3 scripts/metrics_calculator.py retention events.csv --format json
# Cohort matrix
python3 scripts/metrics_calculator.py cohort events.csv --cohort-grain month
python3 scripts/metrics_calculator.py cohort events.csv --cohort-grain week --format json
# Funnel conversion
python3 scripts/metrics_calculator.py funnel funnel.csv --stages visit,signup,activate,pay
python3 scripts/metrics_calculator.py funnel funnel.csv --stages visit,signup,activate,pay --format json
CSV format for retention/cohort:
user_id,cohort_date,activity_date
u001,2026-01-01,2026-01-01
u001,2026-01-01,2026-01-03
u002,2026-01-02,2026-01-02
CSV format for funnel:
user_id,stage
u001,visit
u001,signup
u001,activate
u002,visit
u002,signup
product-team/experiment-designer — for A/B test planning after identifying metric opportunitiesproduct-team/product-manager-toolkit — for RICE prioritization of metric-driven featuresproduct-team/product-discovery — for assumption mapping when metrics reveal unknownsfinance/saas-metrics-coach — for SaaS-specific metrics (ARR, MRR, churn, LTV)No reviews yet. Tell others what you thought.
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