Which business models are supported by this framework?

The framework includes specialized metrics for B2B SaaS, multi-sided marketplaces, consumer mobile apps, and traditional B2B enterprise models.

How does this help with technical implementation?

It helps define the 'source of truth' requirements for your data infrastructure, ensuring your analytics events capture the variables needed for complex calculations like NDR.

Can I use this for investor reporting?

Absolutely. The skill includes a dedicated section on what VCs look for during different funding stages and how to format metrics for professional presentation.

Does this skill provide formulas for unit economics?

Yes, it provides standardized formulas for CAC, LTV, CAC Payback Period, and LTV:CAC ratios, including the nuances of gross margin and overhead.

Are there benchmarks for 'good' vs 'bad' metrics?

Yes, the framework includes industry-standard benchmarks for growth, retention, and efficiency based on typical high-growth startup performance.

Startup Metrics Framework

Name: Startup Metrics Framework
Author: wshobson

bywshobson

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25,583

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Analytics & Monitoring

Provides a comprehensive framework for calculating, tracking, and optimizing key performance indicators for SaaS, marketplace, and consumer startup business models.

This skill transforms Claude into a specialized startup business analyst, offering precise guidance on the metrics that matter most for venture-backed growth. It provides standardized formulas and industry-recognized benchmarks for critical unit economics like LTV/CAC ratios, Burn Multiples, and the Rule of 40. Whether you are preparing for a Series A pitch or building internal analytics dashboards, this framework helps ensure your business data aligns with professional investor expectations and operational excellence.

Key Features

01Stage-specific benchmarks for Seed through Series A funding rounds

0225,583 GitHub stars

03Detailed efficiency tracking including Burn Multiples and CAC Payback periods

04Best practices for data infrastructure and investor-ready reporting cadences

05Retention and engagement frameworks like Net Dollar Retention (NDR) and DAU/MAU

06Standardized formulas for SaaS, Marketplace, Consumer, and B2B business models

Use Cases

01Generating accurate metrics summaries for investor pitch decks and board meetings

02Designing database schemas and tracking events for internal business intelligence tools

03Analyzing unit economics to evaluate the sustainability of customer acquisition channels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wshobson/agents startup-metrics-framework

For use in Claude.ai and ChatGPT

Download Skill