Best for
- 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.
wshobson/agents/plugins/startup-business-analyst/skills/startup-metrics-framework/SKILL.md
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.
Decision brief
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/wshobson/agents --skill "plugins/startup-business-analyst/skills/startup-metrics-framework"Inspect the Agent Skill "startup-metrics-framework" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/startup-business-analyst/skills/startup-metrics-framework/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
1. Active users growth 2. User retention (Day 7, Day 30) 3. Core engagement (sessions, features used) 4. Qualitative feedback (NPS, interviews)
To implement startup metrics framework:
MRR (Monthly Recurring Revenue)
MRR (Monthly Recurring Revenue)
CAC (Customer Acquisition Cost)
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 75/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 38,313 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
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:
24 months = Concerning
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:
2.0 = Inefficient
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:
90% = Excellent
Magic Number
Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
Benchmarks:
0.75 = Efficient, ready to scale
Rule of 40
Rule of 40 = Revenue Growth Rate% + Profit Margin%
Benchmarks:
40% = Excellent
Example: 50% growth + (10%) margin = 40% ✓
Quick Ratio
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
Benchmarks:
4.0 = Healthy growth
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:
50% = Exceptional (daily habit)
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):
40% = Excellent
Retention Curve Shape:
K-Factor = Invites per User × Invite Conversion Rate
Example: 10 invites/user × 20% conversion = 2.0 K-factor
Benchmarks:
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:
Average Contract Value (ACV)
ACV = Total Contract Value / Contract Length (years)
Pipeline Coverage
Pipeline Coverage = Total Pipeline Value / Quota
Target: 3-5x coverage (3-5x pipeline needed to hit quota)
Conversion Rates by Stage:
Focus Metrics:
Don't worry about:
Focus Metrics:
Start tracking:
Focus Metrics:
Mature tracking:
Requirements:
Tools:
Daily:
Weekly:
Monthly:
Quarterly:
Mistake 1: Vanity Metrics Don't focus on:
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.
Seed Round:
Series A:
Series B+:
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:
To implement startup metrics framework:
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