lean-analytics

Select and audit startup metrics using the Lean Analytics framework of models, stages, and OMTM.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/HafidJoss/Lummy --skill lean-analytics-hafidjoss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lean-analytics
Source: https://github.com/HafidJoss/Lummy/tree/main/agent/skills/lean-analytics
Command: npx skills add https://github.com/HafidJoss/Lummy --skill lean-analytics-hafidjoss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Startups drown in dashboards full of vanity metrics that never change a decision. This Skill helps you separate actionable metrics from flattering totals, pick the One Metric That Matters for your business model and stage, set targets with pre-committed responses, and audit dashboards for numbers that only go up. ## Core Features & Use Cases - Metric Auditing: Apply the four tests (comparative, understandable, ratio-based, behavior-changing) to rewrite vanity metrics like total signups into actionable rates like activation percentage. - OMTM Selection: Choose the One Metric That Matters from the stage-by-model matrix covering six business archetypes (e-commerce, SaaS, mobile app, media, UGC, marketplace) and five stages (Empathy through Scale), paired with a counter-metric and a line in the sand. - Stage Diagnosis: Walk the five Lean Analytics gates to determine whether you should fix retention before buying growth, with benchmarks like 5% monthly SaaS churn ceilings and 20% DAU/MAU engagement signals. - Use Case: A SaaS founder with a 34-widget dashboard uses this Skill to identify they are actually in the Stickiness stage, installs week-4 retention as the OMTM with a 45% target, and archives the vanity tiles. ## Quick Start Ask the AI to audit your current startup dashboard and recommend the One Metric That Matters for your business model and stage.

Frequently Asked Questions about lean-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right KPIs for my startup?

Name your business model archetype (e-commerce, SaaS, mobile app, media, UGC, or marketplace) and your current stage, then read the candidate metric from the stage-by-model matrix. Verify it passes four tests: comparative, understandable, a ratio or rate, and behavior-changing.

What is the One Metric That Matters and how do I pick one?

The OMTM is the single number measuring your riskiest unproven assumption right now. Pick it by identifying your business model and stage, pair it with a counter-metric to prevent gaming, and set a line in the sand with a target, date, and pre-committed miss response.

How do I tell vanity metrics from actionable metrics?

Vanity metrics are totals and cumulative curves that only rise with time, like total signups or page views. Actionable metrics are comparative ratios tied to decisions, such as week-4 retention by cohort or visitor-to-paid conversion rate.

What is a good churn rate benchmark for early SaaS?

Around 5% monthly customer churn is the upper bound of viable for early SaaS, while healthy companies push toward 2% or lower. Treat benchmarks as starting heuristics and re-derive them against your own cohorts before adopting them as targets.

When should a startup spend on paid acquisition?

Only after passing the Stickiness gate, meaning cohort retention curves flatten at a viable floor. Buying users for a product with collapsing retention multiplies the leak, so fix onboarding and time-to-value before scaling acquisition spend.

Why do blended averages hide product problems?

Blended averages mix cohorts and segments, so improving new cohorts can be masked by decaying old ones. Cohort tables comparing groups at the same age, plus segmentation by channel and plan, reveal whether the product is actually improving.