ASD

Startup Metrics Framework

Rastrea, calcula y optimiza métricas clave para startups SaaS, marketplace, consumer y B2B desde seed hasta Series A: unit economics, eficiencia de crecimiento y gestión de caja.

Estrellas
38.8k

en todo el repo

Actividad
37

0–100, la ruta de este skill

Actualizado
hace 4 meses

último commit aquí

Commits
0

últimos 90 días

Contexto
2.5k tok

95 tok en reposo

Paquete
1 archivo

10 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add wshobson/agents --skill startup-metrics-framework --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Define fórmulas para MRR, ARR, CAC, LTV, burn rate, runway y burn multiple
  • Aporta benchmarks por etapa (pre-seed, seed, Series A) para cada métrica
  • Cubre métricas específicas de SaaS, marketplace, consumer/mobile y B2B
  • Da formato de dashboard para reportes a inversores y directorio
  • Lista errores comunes al medir (vanity metrics, exceso de métricas, gaming)

Úsalo cuando

  • Definir un marco de métricas para tu startup
  • Calcular CAC, LTV o burn multiple
  • Comparar la salud del negocio contra benchmarks del sector
  • Preparar dashboards de métricas para inversores o el board

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Ayúdame a calcular el LTV:CAC de mi startup SaaS
    • Necesito un dashboard de métricas para el board
    • Qué benchmarks de burn multiple aplican en Series A
    • Cómo armo el reporte mensual de métricas para inversores

    SKILL.md

    En inglés

    Startup Metrics Framework

    Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.

    Overview

    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.

    Universal Startup Metrics

    Revenue Metrics

    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:

    • Seed stage: 15-20% MoM growth
    • Series A: 10-15% MoM growth, 3-5x YoY
    • Series B+: 100%+ YoY (Rule of 40)

    Unit Economics

    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:

    • LTV:CAC > 3.0 = Healthy
    • LTV:CAC 1.0-3.0 = Needs improvement
    • LTV:CAC < 1.0 = Unsustainable

    CAC Payback Period

    CAC Payback = CAC / (ARPU × Gross Margin%)
    

    Benchmarks:

    • < 12 months = Excellent
    • 12-18 months = Good
    • 24 months = Concerning

    Cash Efficiency Metrics

    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:

    • < 1.0 = Exceptional efficiency
    • 1.0-1.5 = Good
    • 1.5-2.0 = Acceptable
    • 2.0 = Inefficient

    Lower is better (spending less to generate ARR)

    SaaS Metrics

    Revenue Composition

    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
    

    Retention Metrics

    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:

    • NDR > 120% = Best-in-class
    • NDR 100-120% = Good
    • NDR < 100% = Needs work

    Gross Retention

    Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
    

    Benchmarks:

    • 90% = Excellent

    • 85-90% = Good
    • < 85% = Concerning

    SaaS-Specific Metrics

    Magic Number

    Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
    

    Benchmarks:

    • 0.75 = Efficient, ready to scale

    • 0.5-0.75 = Moderate efficiency
    • < 0.5 = Inefficient, don't scale yet

    Rule of 40

    Rule of 40 = Revenue Growth Rate% + Profit Margin%
    

    Benchmarks:

    • 40% = Excellent

    • 20-40% = Acceptable
    • < 20% = Needs improvement

    Example: 50% growth + (10%) margin = 40% ✓

    Quick Ratio

    Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
    

    Benchmarks:

    • 4.0 = Healthy growth

    • 2.0-4.0 = Moderate
    • < 2.0 = Churn problem

    Marketplace Metrics

    GMV (Gross Merchandise Value)

    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

    Take Rate = Net Revenue / GMV
    

    Typical Ranges:

    • Payment processors: 2-3%
    • E-commerce marketplaces: 10-20%
    • Service marketplaces: 15-25%
    • High-value B2B: 5-15%

    Marketplace Liquidity

    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:

    • Fill rate > 80% = Strong liquidity
    • Repeat rate > 60% = Strong retention

    Marketplace Balance

    Supply/Demand Ratio: Track relative growth of supply and demand sides.

    Warning Signs:

    • Too much supply: Low fill rates, frustrated suppliers
    • Too much demand: Long wait times, frustrated customers

    Goal: Balanced growth (1:1 ratio ideal, but varies by model)

    Consumer/Mobile Metrics

    Engagement Metrics

    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:

    • 50% = Exceptional (daily habit)

    • 20-50% = Good
    • < 20% = Weak engagement

    Session Frequency Average sessions per user per day/week

    Session Duration Average time spent per session

    Retention Curves

    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):

    • 40% = Excellent

    • 25-40% = Good
    • < 25% = Weak

    Retention Curve Shape:

    • Flattening curve = good (users becoming habitual)
    • Steep decline = poor product-market fit

    Viral Coefficient (K-Factor)

    K-Factor = Invites per User × Invite Conversion Rate
    

    Example: 10 invites/user × 20% conversion = 2.0 K-factor

    Benchmarks:

    • K > 1.0 = Viral growth
    • K = 0.5-1.0 = Strong referrals
    • K < 0.5 = Weak virality

    B2B Metrics

    Sales Efficiency

    Win Rate

    Win Rate = Deals Won / Total Opportunities
    

    Target: 20-30% for new sales team, 30-40% mature

    Sales Cycle Length Average days from opportunity to close

    Shorter is better:

    • SMB: 30-60 days
    • Mid-market: 60-120 days
    • Enterprise: 120-270 days

    Average Contract Value (ACV)

    ACV = Total Contract Value / Contract Length (years)
    

    Pipeline Metrics

    Pipeline Coverage

    Pipeline Coverage = Total Pipeline Value / Quota
    

    Target: 3-5x coverage (3-5x pipeline needed to hit quota)

    Conversion Rates by Stage:

    • Lead → Opportunity: 10-20%
    • Opportunity → Demo: 50-70%
    • Demo → Proposal: 30-50%
    • Proposal → Close: 20-40%

    Metrics by Stage

    Pre-Seed (Product-Market Fit)

    Focus Metrics:

    1. Active users growth
    2. User retention (Day 7, Day 30)
    3. Core engagement (sessions, features used)
    4. Qualitative feedback (NPS, interviews)

    Don't worry about:

    • Revenue (may be zero)
    • CAC (not optimizing yet)
    • Unit economics

    Seed ($500K-$2M ARR)

    Focus Metrics:

    1. MRR growth rate (15-20% MoM)
    2. CAC and LTV (establish baseline)
    3. Gross retention (> 85%)
    4. Core product engagement

    Start tracking:

    • Sales efficiency
    • Burn rate and runway

    Series A ($2M-$10M ARR)

    Focus Metrics:

    1. ARR growth (3-5x YoY)
    2. Unit economics (LTV:CAC > 3, payback < 18 months)
    3. Net dollar retention (> 100%)
    4. Burn multiple (< 2.0)
    5. Magic number (> 0.5)

    Mature tracking:

    • Rule of 40
    • Sales efficiency
    • Pipeline coverage

    Metric Tracking Best Practices

    Data Infrastructure

    Requirements:

    • Single source of truth (analytics platform)
    • Real-time or daily updates
    • Automated calculations
    • Historical tracking

    Tools:

    • Mixpanel, Amplitude (product analytics)
    • ChartMogul, Baremetrics (SaaS metrics)
    • Looker, Tableau (BI dashboards)

    Reporting Cadence

    Daily:

    • MRR, active users
    • Sign-ups, conversions

    Weekly:

    • Growth rates
    • Retention cohorts
    • Sales pipeline

    Monthly:

    • Full metric suite
    • Board reporting
    • Investor updates

    Quarterly:

    • Trend analysis
    • Benchmarking
    • Strategy review

    Common Mistakes

    Mistake 1: Vanity Metrics Don't focus on:

    • Total users (without retention)
    • Page views (without engagement)
    • Downloads (without activation)

    Focus on actionable metrics tied to value.

    Mistake 2: Too Many Metrics Track 5-7 core metrics intensely, not 50 loosely.

    Mistake 3: Ignoring Unit Economics CAC and LTV are critical even at seed stage.

    Mistake 4: Not Segmenting Break down metrics by customer segment, channel, cohort.

    Mistake 5: Gaming Metrics Optimize for real business outcomes, not dashboard numbers.

    Investor Metrics

    What VCs Want to See

    Seed Round:

    • MRR growth rate
    • User retention
    • Early unit economics
    • Product engagement

    Series A:

    • ARR and growth rate
    • CAC payback < 18 months
    • LTV:CAC > 3.0
    • Net dollar retention > 100%
    • Burn multiple < 2.0

    Series B+:

    • Rule of 40 > 40%
    • Efficient growth (magic number)
    • Path to profitability
    • Market leadership metrics

    Metric Presentation

    Dashboard Format:

    Current MRR: $250K (↑ 18% MoM)
    ARR: $3.0M (↑ 280% YoY)
    CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
    NDR: 112% | Logo Retention: 92%
    Burn: $180K/mo | Runway: 18 months
    

    Include:

    • Current value
    • Growth rate or trend
    • Context (target, benchmark)

    Quick Start

    To implement startup metrics framework:

    1. Identify business model - SaaS, marketplace, consumer, B2B
    2. Choose 5-7 core metrics - Based on stage and model
    3. Establish tracking - Set up analytics and dashboards
    4. Calculate unit economics - CAC, LTV, payback
    5. Set targets - Use benchmarks for goals
    6. Review regularly - Weekly for core metrics
    7. Share with team - Align on goals and progress
    8. Update investors - Monthly/quarterly reporting

    Reproducido de wshobson/agents bajo licencia MIT. Leer esta página en markdown.

    Archivos

    1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Detalles

    Creador
    wshobson
    Categoría
    Finanzas
    Licencia
    MIT
    Recursos incluidos
    Solo SKILL.md
    Repositorio
    wshobson/agents
    Código fuente
    Ver SKILL.md

    Etiquetas

    Más de wshobson/agents

    Este repo incluye 180 skills. Si instalas uno, normalmente ya tienes los demás.

    Úsalo al seleccionar y colocar iconos, imágenes, SVGs, diagramas o infografías de apoyo aprobados en un PPTX editable.

    Costo de contexto al activarse
    344 tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 26 días
    documentos

    Úsalo cuando pidan optimizar un prompt, mejorar su rendimiento, diseñar una plantilla, aplicar chain-of-thought, few-shot prompting o técnicas avanzadas de prompt engineering para producción.

    Costo de contexto al activarse
    1.3k tok
    Tamaño del paquete
    10 archivos
    Última actualización
    el mes pasado
    herramientas desarrollo

    Úsalo al redactar o reparar una especificación JSON con coordenadas explícitas para un PPTX editable.

    Costo de contexto al activarse
    489 tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 26 días
    documentos

    Úsalo para validar o reparar un PPTX editable en cuanto a geometría, accesibilidad, editabilidad nativa, linaje de fuente e integridad del paquete OOXML.

    Costo de contexto al activarse
    409 tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 26 días
    documentos

    Úsalo para analizar un PPTX de referencia en modo solo lectura: estructura, tema, tipografía, ritmo de layout, diagnósticos, catálogos de plantillas derivados o inspección segura del paquete OOXML.

    Costo de contexto al activarse
    689 tok
    Tamaño del paquete
    8 archivos
    Última actualización
    hace 26 días
    documentos

    Úsalo al preparar la narrativa, las fuentes y el contexto de diseño para un nuevo deck PPTX editable.

    Costo de contexto al activarse
    415 tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 26 días
    documentos

    Skills relacionados

    Calcula métricas de riesgo de cartera como VaR, CVaR, Sharpe, Sortino y análisis de drawdown; útil al medir riesgo, implementar límites o construir sistemas de monitoreo.

    Costo de contexto al activarse
    502 tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 2 meses
    finanzas

    Calcula TAM/SAM/SOM para oportunidades de mercado con metodologías top-down, bottom-up y teoría del valor, para pitches o planes de negocio.

    Costo de contexto al activarse
    619 tok
    Tamaño del paquete
    4 archivos
    Última actualización
    hace 2 meses
    finanzas

    Testea contratos inteligentes de forma exhaustiva con Hardhat y Foundry: tests unitarios, de integración y forking de mainnet.

    Costo de contexto al activarse
    2k tok
    Tamaño del paquete
    2 archivos
    Última actualización
    hace 2 meses
    testing qa