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From pm-data-analytics
Performs cohort analysis on user engagement CSV/Excel/JSON data: computes retention rates/curves, feature adoption trends, visualizes heatmaps/line charts, detects anomalies, generates pandas/numpy Python scripts.
npx claudepluginhub killvxk/pm-skills-zh --plugin pm-data-analyticsHow this skill is triggered — by the user, by Claude, or both
Slash command
/pm-data-analytics:cohort-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
通过同期群分析用户参与度和留存规律，识别用户行为、功能采用及长期参与度的趋势。将定量洞察与定性研究建议相结合。
Performs cohort analysis on user engagement data from CSV/Excel/JSON: retention curves, feature adoption trends, churn patterns, visualizations, insights, and research recommendations.
Use this skill when the user asks about "cohort analysis", "retention cohorts", "how to read cohort data", "analyze my retention", "what does my cohort data say", "cohort retention curves", "D7/D30 retention", "how to improve cohort retention", or has cohort data they want to interpret and act on.
Analyzes customer cohorts by acquisition date, channel, behavior, or revenue tier to track retention curves, LTV, revenue, and engagement from CRM or analytics data.
Share bugs, ideas, or general feedback.
通过同期群分析用户参与度和留存规律，识别用户行为、功能采用及长期参与度的趋势。将定量洞察与定性研究建议相结合。
示例一：上传 CSV 数据
上传 cohort_engagement.csv，包含以下字段：cohort_month、weeks_active、
user_id、feature_x_usage、engagement_score
需求："分析留存规律，并找出 Q4 2025 同期群为何相比 Q3 表现欠佳"
示例二：描述数据格式
"我有 2025 年 1—12 月的月度用户同期群。每行包含：
同期群日期、用户 ID、购买频次和客服工单数量。
分析哪些同期群的长期留存率最高。"
示例三：功能采用分析
上传包含同期群采用数据的 feature_usage.xlsx。
需求："对比各同期群新功能的采用曲线。
哪些同期群采用速度最快？有什么规律？"
你将收到：