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product-analytics

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Status: Safe

Source: Syntic Skills registry

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About This Skill

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

Downloadable SKILL.md

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SKILL.md

---
name: product-analytics
description: Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
category: Product
version: 1.0.0
tools: []
---

# Product Analytics

Define, track, and interpret product metrics across discovery, growth, and mature product stages.

## Core Workflow

1. **Metric Framework Selection**
   - AARRR (Acquisition, Activation, Retention, Revenue, Referral) for growth loops
   - North Star for cross-functional alignment
   - HEART (Happiness, Engagement, Adoption, Retention, Task Success) for UX quality

2. **Stage-Appropriate KPIs**
   - Pre-PMF: activation, week-1 retention, time-to-first-value, problem-solution fit
   - Growth: funnel conversion, monthly retained users, feature adoption, expansion proxies
   - Mature: net revenue retention, power-user share, churn risk by segment, support deflection

3. **Dashboard Design** — Executive layer (5-7 directional metrics); Health layer (acquisition, activation, retention, engagement); Feature layer (adoption, depth, repeat usage, outcome correlation).

4. **Cohort + Retention Analysis**
   - Segment by anchor event (signup, activation, first purchase)
   - Compare retention curves across cohorts (not isolated snapshots)
   - Identify early drop points as friction signals

5. **Retention Curve Interpretation**
   - Sharp early drop + low plateau → onboarding mismatch
   - Moderate drop + stable plateau → healthy core with predictable churn
   - Flattening at low level → occasional use; revisit value metric
   - Improving newer cohorts → onboarding/positioning working

6. **Anti-Pattern Remediation**
   - Vanity metrics: pair acquisition with activation + retention
   - Single-point retention: compare curves, not isolated snapshots
   - Dashboard overload: exec layer (5-7), feature layer only per-feature
   - No decision rule: every KPI needs target, threshold, owner, action
   - Averaged segments: always segment by cohort, tier, channel, geography
   - Seasonality blindness: use period-over-period with same-period-last-year context

## Technical Standards

- Attribution: full window (30-90 days B2B, not same-session)
- Cost data: platform APIs, never manual entry
- Retention: compare curves, not point snapshots
- Cohort metrics: segment by signup month and behavior
- Dashboard refresh: daily for operational metrics, weekly for trends
- Every KPI: target, threshold, owner, and if/then decision rule

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/alirezarezvani/claude-skills/blob/main/product-team/skills/product-analytics/SKILL.md

Open Source Link

Product

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