screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues,…
Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn
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Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn
name: startup-metrics-framework description: Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting. version: 1.0.0
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
Track the right metrics at the right stage. Focus on unit economics, growth efficiency, and cash management metrics that matter for fundraising and operational excellence.
**MRR (Monthly Recurring Revenue)**
MRR = Σ (Active Subscriptions × Monthly Price)
**ARR (Annual Recurring Revenue)**
ARR = MRR × 12
**Growth Rate**
MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR
**Target Benchmarks:**
**CAC (Customer Acquisition Cost)**
CAC = Total S&M Spend / New Customers Acquired
Include: Sales salaries, marketing spend, tools, overhead
**LTV (Lifetime Value)**
LTV = ARPU × Gross Margin% × (1 / Churn Rate)
Simplified:
LTV = ARPU × Average Customer Lifetime × Gross Margin%
**LTV:CAC Ratio**
LTV:CAC = LTV / CAC
**Benchmarks:**
**CAC Payback Period**
CAC Payback = CAC / (ARPU × Gross Margin%)
**Benchmarks:**
**Burn Rate**
Monthly Burn = Monthly Revenue - Monthly Expenses
Negative burn = losing money (typical early-stage)
**Runway**
Runway (months) = Cash Balance / Monthly Burn Rate
**Target:** Always maintain 12-18 months runway
**Burn Multiple**
Burn Multiple = Net Burn / Net New ARR
**Benchmarks:**
Lower is better (spending less to generate ARR)
**New MRR** New customers × ARPU
**Expansion MRR** Upsells and cross-sells from existing customers
**Contraction MRR** Downgrades from existing customers
**Churned MRR** Lost customers
**Net New MRR Formula:**
Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
**Logo Retention**
Logo Retention = (Customers End - New Customers) / Customers Start
**Dollar Retention (NDR - Net Dollar Retention)**
NDR = (ARR Start + Expansion - Contraction - Churn) / ARR Start
**Benchmarks:**
**Gross Retention**
Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
**Benchmarks:**
**Magic Number**
Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
**Benchmarks:**
**Rule of 40**
Rule of 40 = Revenue Growth Rate% + Profit Margin%
**Benchmarks:**
**Example:** 50% growth + (10%) margin = 40% ✓
**Quick Ratio**
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
**Benchmarks:**
**Total Transaction Volume:**
GMV = Σ (Transaction Value)
**Growth Rate:**
GMV Growth Rate = (Current Period GMV - Prior Period GMV) / Prior Period GMV
**Target:** 20%+ MoM early-stage
Take Rate = Net Revenue / GMV
**Typical Ranges:**
**Time to Transaction** How long from listing to sale/match?
**Fill Rate** % of requests that result in transaction
**Repeat Rate** % of users who transact multiple times
**Benchmarks:**
**Supply/Demand Ratio:** Track relative growth of supply and demand sides.
**Warning Signs:**
**Goal:** Balanced growth (1:1 ratio ideal, but varies by model)
**DAU (Daily Active Users)** Unique users active each day
**MAU (Monthly Active Users)** Unique users active each month
**DAU/MAU Ratio**
DAU/MAU = DAU / MAU
**Benchmarks:**
**Session Frequency** Average sessions per user per day/week
**Session Duration** Average time spent per session
**Day 1 Retention:** % users who return next day **Day 7 Retention:** % users active 7 days after signup **Day 30 Retention:** % users active 30 days after signup
**Benchmarks (Day 30):**
**Retention Curve Shape:**
K-Factor = Invites per User × Invite Conversion Rate
**Example:** 10 invites/user × 20% conversion = 2.0 K-factor
**Benchmar
Production-ready agentic workflow building blocks: 94 plugins, 202 agents, 183 skills, 105 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, the Antigravity CLI, GitHub Copilot, and Pi from a single Markdown source.
Repo: wshobson/agents
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