OpenClaw

product-analytics

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

alirezarezvani0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install alirezarezvani/product-analytics

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Product Analytics

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

When To Use

Use this skill for:

Metric framework selection (AARRR, North Star, HEART)
KPI definition by product stage (pre-PMF, growth, mature)
Dashboard design and metric hierarchy
Cohort and retention analysis
Feature adoption and funnel interpretation

Workflow

Select metric framework

AARRR for growth loops and funnel visibility
North Star for cross-functional strategic alignment
HEART for UX quality and user experience measurement

Define stage-appropriate KPIs

Pre-PMF: activation, early retention, qualitative success
Growth: acquisition efficiency, expansion, conversion velocity
Mature: retention depth, revenue quality, operational efficiency

Design dashboard layers

Executive layer: 5-7 directional metrics
Product health layer: acquisition, activation, retention, engagement
Feature layer: adoption, depth, repeat usage, outcome correlation

Run cohort + retention analysis

Segment by signup cohort or feature exposure cohort
Compare retention curves, not single-point snapshots
Identify inflection points around onboarding and first value moment

Interpret and act

Connect metric movement to product changes and release timeline
Distinguish signal from noise using period-over-period context
Propose one clear product action per major metric risk/opportunity

KPI Guidance By Stage

Pre-PMF

Activation rate
Week-1 retention
Time-to-first-value
Problem-solution fit interview score

Growth

Funnel conversion by stage
Monthly retained users
Feature adoption among new cohorts
Expansion / upsell proxy metrics

Mature

Net revenue retention aligned product metrics
Power-user share and depth of use
Churn risk indicators by segment
Reliability and support-deflection product metrics

Dashboard Design Principles

Show trends, not isolated point estimates.
Ke...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/alirezarezvani/product-analytics
Version: —
Commit: 8ea35ce7f306437a0e68ae34bd2d67babbebeaad
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Product Analytics

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

## When To Use

Use this skill for:
- Metric framework selection (AARRR, North Star, HEART)
- KPI definition by product stage (pre-PMF, growth, mature)
- Dashboard design and metric hierarchy
- Cohort and retention analysis
- Feature adoption and funnel interpretation

## Workflow

1. Select metric framework
- AARRR for growth loops and funnel visibility
- North Star for cross-functional strategic alignment
- HEART for UX quality and user experience measurement

2. Define stage-appropriate KPIs
- Pre-PMF: activation, early retention, qualitative success
- Growth: acquisition efficiency, expansion, conversion velocity
- Mature: retention depth, revenue quality, operational efficiency

3. Design dashboard layers
- Executive layer: 5-7 directional metrics
- Product health layer: acquisition, activation, retention, engagement
- Feature layer: adoption, depth, repeat usage, outcome correlation

4. Run cohort + retention analysis
- Segment by signup cohort or feature exposure cohort
- Compare retention curves, not single-point snapshots
- Identify inflection points around onboarding and first value moment

5. Interpret and act
- Connect metric movement to product changes and release timeline
- Distinguish signal from noise using period-over-period context
- Propose one clear product action per major metric risk/opportunity

## KPI Guidance By Stage

### Pre-PMF
- Activation rate
- Week-1 retention
- Time-to-first-value
- Problem-solution fit interview score

### Growth
- Funnel conversion by stage
- Monthly retained users
- Feature adoption among new cohorts
- Expansion / upsell proxy metrics

### Mature
- Net revenue retention aligned product metrics
- Power-user share and depth of use
- Churn risk indicators by segment
- Reliability and support-deflection product metrics

## Dashboard Design Principles

- Show trends, not isolated point estimates.
- Ke...

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