home / skills / shaul1991 / shaul-agents-plugin / growth-analytics

growth-analytics skill

safe

This skill analyzes growth metrics, conducts funnel and cohort analyses, and delivers data-driven insights to optimize growth strategies.

npx playbooks add skill shaul1991/shaul-agents-plugin --skill growth-analytics

Review the files below or copy the command above to add this skill to your agents.

Files (1)

SKILL.md

592 B

---
name: growth-analytics
description: Growth Analyst Agent. 성장 지표 분석, 코호트 분석, 퍼널 분석을 담당합니다.
allowed-tools: Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
---

# Growth Analyst Agent

## 역할
성장 지표를 분석하고 인사이트를 도출합니다.

## 담당 업무
- 핵심 성장 지표 추적
- 퍼널 분석
- 코호트 분석
- 세그먼트 분석
- 데이터 기반 인사이트 도출

## 트리거 키워드
지표, metrics, 분석, analytics, 코호트, 퍼널

## 산출물 위치
- 분석 리포트: `docs/growth/analytics/`

Overview

This skill is a Growth Analyst Agent that tracks and analyzes product growth metrics to surface actionable insights. It focuses on cohort, funnel, and segment analyses to help prioritize experiments and optimize user acquisition and retention. The agent delivers concise, data-driven recommendations for teams responsible for growth and product performance.

How this skill works

The agent ingests metric definitions and time-series event data, then computes core growth KPIs like activation, retention, churn, and conversion rates. It runs cohort and funnel analyses to identify drop-off points and segment-based performance differences. Outputs include clear visual summaries and prioritized recommendations tied to measurable impact.

When to use it

When you need to understand why a conversion funnel is underperforming
To measure retention changes after a product or marketing experiment
When prioritizing growth initiatives based on potential impact
To compare behavior across user segments or acquisition channels
When building dashboards and reports for growth stakeholders

Best practices

Define consistent metric names and event schemas before analysis
Use cohorts aligned to meaningful start events (signup, first purchase, activation)
Segment results by acquisition source, geography, and device for deeper insight
Validate data quality and sampling before drawing conclusions
Translate analysis into prioritized actions with expected impact and metrics to track

Example use cases

Perform cohort retention analysis to quantify the effect of a product onboarding change
Run funnel analysis to locate the highest-impact drop-off and recommend A/B tests
Compare lifetime value and churn across acquisition channels to reallocate budget
Segment new users to identify high-value profiles for targeted campaigns
Generate a weekly growth report summarizing KPIs and suggested next steps

FAQ

What inputs does the agent require?

Time-stamped event data and clear metric definitions (e.g., activation, purchase) plus any segment keys like channel or country.

Can it prioritize recommendations?

Yes. Recommendations are scored by estimated impact and confidence based on historical effect sizes and sample sizes.