Pm Funnel Analyzer
Skill Verified ActiveDiagnose conversion funnel drop-offs, generate hypotheses, and recommend interventions with success metrics. Includes statistical significance guidance and domain-specific funnel stages from domain-context.md. Use when someone says "funnel", "conversion", "drop-off", "activation", "onboarding", "churn", "retention", "pipeline", "trial to paid".
Diagnose conversion funnel drop-offs, generate hypotheses, and recommend interventions with success metrics, adapting to specific business contexts and including statistical guidance.
Features
- Diagnose conversion funnel drop-offs
- Generate hypotheses for drop-offs
- Recommend interventions with success metrics
- Provide statistical significance guidance
- Adapt to domain-specific funnel stages
Use Cases
- Diagnosing why users abandon a signup flow
- Identifying key drop-off points in a trial-to-paid conversion
- Recommending A/B tests to improve retention rates
- Understanding the impact of new features on conversion metrics
Non-Goals
- Performing the actual A/B tests
- Implementing the recommended interventions
- Replacing a full product analytics platform
Compliance
- info:GDPRThe skill analyzes funnel data and may submit personal data to the LLM; however, it does not appear to specifically target or sanitize personal data, and there are no indications of submission to third parties.
Installation
First, add the marketplace
/plugin marketplace add marfoerst/the-pragmatic-pm/plugin install the-pragmatic-pm@the-pragmatic-pmQuality Score
VerifiedSimilar Extensions
Measure Dashboard Requirements
100Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.
Acquisition Channel Advisor
100Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Customer Success Manager
100Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.
Pricing Strategy
100Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.
SaaS Economics Efficiency Metrics
100Evaluate SaaS unit economics and capital efficiency. Use when deciding whether the business can scale efficiently or needs correction.
OraClaw Forecast
100Time series forecasting for AI agents. ARIMA and Holt-Winters predictions with confidence intervals. Predict revenue, traffic, prices, or any sequential data. Sub-5ms inference.