# Send Startup Metrics Command Center to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "afrexai-startup-metrics-engine",
    "name": "Startup Metrics Command Center",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/1kalin/afrexai-startup-metrics-engine",
    "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-startup-metrics-engine",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/afrexai-startup-metrics-engine",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-startup-metrics-engine",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-startup-metrics-engine"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-startup-metrics-engine",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-startup-metrics-engine",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent.md"
  }
}
```
## Documentation

### Startup Metrics Command Center

Your complete system for tracking, diagnosing, and communicating startup health — not just formulas, but the thinking behind what to measure, when, and what to do when numbers go wrong.

### Step 1 — Identify Your Model & Stage

Before tracking anything, classify yourself:

Business Model:

model_type:
  saas:
    sub_type: # self-serve | sales-led | PLG | hybrid
    pricing: # per-seat | usage-based | flat | tiered
    contract: # monthly | annual | multi-year
  marketplace:
    type: # managed | unmanaged | SaaS-enabled
    unit: # GMV | take-rate | transaction
  consumer:
    type: # subscription | ad-supported | freemium | transactional
    engagement_model: # DAU/MAU | session-based | content
  hardware_plus_software:
    type: # device + subscription | IoT | embedded

Stage (determines what matters):

StageARR RangeNorth Star FocusBoard Cares AboutPre-seed$0-$50KEngagement + retention signalProblem-solution fit evidenceSeed$50K-$500KCohort retention + early revenueProduct-market fit signalsSeries A$500K-$3MGrowth efficiency + unit economicsLTV:CAC, NDR, growth rateSeries B$3M-$15MScalability + operating leverageRule of 40, magic number, burn multipleGrowth$15M+Capital efficiency + market shareNet margins, NRR, competitive moat

### Step 2 — Build Your Metric Stack

Layer 1: Health Vitals (track daily)

- Revenue: MRR, ARR, net new MRR
- Growth: MoM growth rate, WoW for early stage
- Retention: Logo churn rate, revenue churn rate
- Cash: Monthly burn, runway in months

Layer 2: Efficiency (track weekly)

- Unit economics: CAC, LTV, LTV:CAC ratio, payback months
- Sales: Pipeline coverage, win rate, sales cycle length
- Product: Activation rate, feature adoption, NPS/CSAT
- Team: Revenue per employee, quota attainment

Layer 3: Strategic (track monthly)

- NDR (Net Dollar Retention)
- Burn multiple
- Rule of 40 score
- Magic number
- Cohort analysis curves

### Revenue Metrics

MRR = Σ(active_subscriptions × monthly_price)
ARR = MRR × 12

Net New MRR = New MRR + Expansion MRR - Churned MRR - Contraction MRR

MRR Components:
  new_mrr:         First-time customer revenue this month
  expansion_mrr:   Upsell + cross-sell from existing customers
  churned_mrr:     Revenue lost from customers who left
  contraction_mrr: Revenue lost from downgrades (customer stayed)
  reactivation_mrr: Revenue from returning churned customers

MoM Growth = (MRR_current - MRR_previous) / MRR_previous
CMGR (Compound Monthly Growth Rate) = (MRR_end / MRR_start)^(1/months) - 1

Why CMGR > MoM: Monthly growth is noisy. CMGR smooths 6-12 month periods for real trend.

### Unit Economics

CAC = Total_Sales_Marketing_Spend / New_Customers_Acquired
  - Include: salaries, commissions, tools, ads, events, content costs
  - Exclude: product/engineering, CS (post-sale)
  - Time-lag adjustment: match spend to cohort it generated (typically 1-3 month lag)

Blended CAC vs Channel CAC:
  blended_cac = total_spend / total_new_customers
  channel_cac = channel_spend / channel_new_customers
  # Always track both — blended hides channel problems

LTV = ARPU × Gross_Margin% × Average_Customer_Lifetime
  # Or: LTV = ARPU × Gross_Margin% × (1 / Monthly_Churn_Rate)
  # Cap at 5 years for conservative estimates

LTV:CAC Ratio — THE ratio:
  > 5.0  → Under-investing in growth (spend more!)
  3.0-5.0 → Excellent efficiency
  1.5-3.0 → Healthy but watch payback period
  1.0-1.5 → Marginal — fix churn or reduce CAC
  < 1.0  → Burning cash per customer — STOP and fix

CAC Payback = CAC / (Monthly_ARPU × Gross_Margin%)
  < 6 months  → Elite (PLG companies)
  6-12 months → Great
  12-18 months → Acceptable for enterprise
  > 18 months → Danger zone (unless >130% NDR)

### Retention & Churn

Logo Churn Rate = Customers_Lost / Customers_Start_of_Period
Revenue Churn Rate = MRR_Lost / MRR_Start_of_Period
  # Revenue churn > logo churn = losing big customers (very bad)
  # Revenue churn < logo churn = losing small customers (less bad)

Net Dollar Retention (NDR) = (Starting_MRR + Expansion - Contraction - Churn) / Starting_MRR
  > 130% → World-class (Snowflake, Twilio territory)
  110-130% → Excellent
  100-110% → Good
  90-100% → Acceptable but concerning
  < 90% → Leaky bucket — growth can't outrun churn

Gross Dollar Retention (GDR) = (Starting_MRR - Contraction - Churn) / Starting_MRR
  # NDR without expansion — shows your floor
  > 90% → Sticky product
  80-90% → Normal for SMB
  < 80% → Product or market problem

### Growth Efficiency

Burn Multiple = Net_Burn / Net_New_ARR
  < 1.0 → Amazing (rare at early stage)
  1.0-1.5 → Great
  1.5-2.0 → Good
  2.0-3.0 → Mediocre
  > 3.0 → Bad — inefficient growth

Rule of 40 = Revenue_Growth_Rate% + Profit_Margin%
  > 40 → Healthy SaaS (IPO-ready)
  # Example: 60% growth + -20% margin = 40 ✓
  # Example: 20% growth + 20% margin = 40 ✓

Magic Number = Net_New_ARR_This_Quarter / Sales_Marketing_Spend_Last_Quarter
  > 1.0 → Efficient, invest more in S&M
  0.5-1.0 → OK, optimize before scaling
  < 0.5 → Inefficient — fix before spending more

Hype Ratio = Valuation / ARR
  # Reality check on fundraising expectations
  # Median SaaS multiples: 6-12x ARR (varies by growth + retention)

### Cash & Runway

Monthly Burn = Total_Monthly_Expenses - Total_Monthly_Revenue
Gross Burn = Total_Monthly_Expenses (ignoring revenue)
Net Burn = Gross_Burn - Revenue

Runway = Cash_Balance / Monthly_Net_Burn
  > 18 months → Comfortable
  12-18 months → Start planning next raise
  6-12 months → Urgently fundraising
  < 6 months → Default alive or dead calculation needed

Default Alive? = Can_Current_Growth_Rate_Make_Revenue > Expenses_Before_Cash_Runs_Out
  # Paul Graham's test — if growing, project the intersection

### Sales Efficiency

Sales Cycle Length = Avg_Days(First_Touch → Closed_Won)
Pipeline Coverage = Total_Pipeline_Value / Revenue_Target
  # Need 3-4x for predictable revenue
  
Win Rate = Deals_Won / Total_Deals_in_Stage
  By stage: SQL→Opp (30-40%), Opp→Proposal (50-60%), Proposal→Close (60-70%)

ACV (Annual Contract Value) = Total_Contract_Value / Contract_Years
ASP (Average Selling Price) = Total_Revenue / Deals_Closed

Quota Attainment = Actual_Bookings / Quota_Target
  # Healthy org: 60-70% of reps hitting quota

Sales Efficiency = Net_New_ARR / Fully_Loaded_Sales_Cost
  > 1.0 → Scalable

### Phase 3: Diagnostic Framework — PULSE Method

When a metric is off, don't just report it — diagnose it.

### P — Pattern Recognition

Questions:
- Is this a trend (3+ months) or a blip (1 month)?
- Is it seasonal or structural?
- Did it change gradually or suddenly?
- Which cohorts/segments are affected?

### U — Upstream Tracing

Every metric has upstream drivers. Trace back:

Revenue declining? →
  ├── New MRR down? → Lead volume? → Conversion rate? → Channel performance?
  ├── Expansion down? → Upsell attempts? → Product adoption? → CSM activity?
  └── Churn up? → Which segment? → Voluntary vs involuntary? → Reasons?

CAC increasing? →
  ├── Spend up? → Which channels? → CPM/CPC changes?
  ├── Volume same but cost up? → Market saturation? → Competition?
  └── Conversion down? → Funnel stage? → Lead quality? → Sales process?

### L — Leverage Point

Find the highest-impact intervention:
- Which single metric, if improved 10%, would cascade the most?
- What's the cheapest/fastest fix vs highest-impact fix?
- Score: Impact (1-5) × Feasibility (1-5) × Speed (1-5)

### S — So-What Translation

Convert metric into business language:
- "Churn increased 2%" → "We'll lose $X00K ARR this year at this rate"
- "CAC payback is 18 months" → "Each new customer is cash-negative for 1.5 years"
- "NDR is 95%" → "Even with zero new sales, we shrink 5% annually"

### E — Experiment Design

diagnostic_experiment:
  hypothesis: "[Metric] is declining because [upstream cause]"
  test: "[Specific action] for [time period]"
  success_metric: "[Metric] improves by [X%] within [timeframe]"
  sample: "[Segment/cohort to test on]"
  kill_criteria: "Stop if [negative signal] within [days]"

### Phase 4: Cohort Analysis — The Truth Machine

Aggregate metrics lie. Cohorts tell the truth.

### Revenue Cohort Table

Track each monthly cohort's MRR over time:

         Month 0   Month 1   Month 3   Month 6   Month 12
Jan '25  $50K      $48K      $45K      $42K      $38K
Feb '25  $55K      $53K      $50K      $48K      —
Mar '25  $60K      $58K      $57K      $56K      —
Apr '25  $45K      $44K      $43K      —         —

Reading this:
- Jan cohort retained 76% at month 12 → mediocre
- Mar cohort retained 93% at month 3 → improving! What changed?
- Apr cohort started smaller but retention looks good

### Engagement Cohort (Non-Revenue Signal)

cohort_engagement:
  week_1_activation: # % completing key action within 7 days
  week_4_habit: # % using product 3+ days in week 4
  month_3_retention: # % still active at 90 days
  
  # Leading indicators of revenue retention
  # If engagement drops, revenue follows 1-3 months later

### Cohort Red Flags

🚩 Each new cohort retains worse → product-market fit eroding
🚩 Large cohorts churn more → scaling quality issues
🚩 Specific channel cohorts churn fast → bad-fit leads
🚩 Expansion only in old cohorts → pricing/packaging problem

### Monthly Investor Update Template

investor_update:
  subject: "[Company] — [Month] Update: [One-line headline]"
  
  # 1. TL;DR (3 bullets max)
  highlights:
    - "ARR: $X (+Y% MoM) — [context]"
    - "Key win: [biggest achievement]"
    - "Challenge: [biggest problem + what you're doing]"
  
  # 2. Key Metrics Table
  metrics:
    arr: {current: "", prior_month: "", delta: ""}
    mrr: {current: "", growth_mom: ""}
    customers: {total: "", new: "", churned: ""}
    ndr: ""
    burn_rate: ""
    runway_months: ""
    cash_balance: ""
    
  # 3. What Happened (5-7 bullets)
  wins: []
  challenges: []
  
  # 4. What's Next (3-5 bullets)
  next_month_priorities: []
  
  # 5. Asks (be specific!)
  asks:
    - intro: "Looking for intro to [person/company] for [reason]"
    - advice: "Would love 15 min on [specific topic]"
    - hiring: "Seeking [role] — know anyone?"

### Board Deck Metric Slides

Slide 1: Business Health Dashboard

ARR: $___     MoM: ___%     NDR: ___%
Customers: ___  New: ___    Churned: ___
Runway: ___ months          Burn Multiple: ___

Traffic light: 🟢 On track | 🟡 Watch | 🔴 Action needed

Slide 2: Revenue Waterfall

Starting MRR:     $___
+ New:            $___
+ Expansion:      $___
- Contraction:    $___
- Churn:          $___
= Ending MRR:     $___

Slide 3: Unit Economics

CAC: $___  →  LTV: $___  →  LTV:CAC: ___x
Payback: ___ months
Blended vs top channel efficiency

### SaaS Additions

Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
  > 4.0 → Very healthy growth
  2.0-4.0 → Good
  1.0-2.0 → Sustainable but slow
  < 1.0 → Shrinking

Logo-to-Revenue Retention Gap:
  If logo retention 85% but revenue retention 95% → upsell compensates
  If logo retention 85% and revenue retention 85% → no expansion = problem

Expansion Revenue % = Expansion MRR / Total New MRR
  > 30% → Healthy at scale
  # Best SaaS: expansion > new revenue (Twilio was 170% NDR)

### Marketplace Additions

GMV (Gross Merchandise Value) = Total value of transactions on platform
Take Rate = Platform Revenue / GMV
  5-15% → Typical for most marketplaces
  15-30% → Managed/full-service marketplaces
  
Supply-side metrics:
  supply_liquidity = listings_with_transaction / total_listings
  time_to_first_match = avg_days_from_listing_to_sale
  
Demand-side metrics:
  search_to_fill = completed_transactions / searches
  repeat_purchase_rate = returning_buyers / total_buyers

### Consumer/PLG Additions

DAU/MAU Ratio:
  > 50% → Exceptional (messaging apps)
  25-50% → Strong habit (social, productivity)
  10-25% → Good (media, entertainment)
  < 10% → Weak engagement

Viral Coefficient (K-factor) = Invites_per_User × Conversion_Rate
  > 1.0 → Viral growth (each user brings >1 new user)
  0.5-1.0 → Amplified growth
  < 0.5 → Not viral — need paid acquisition

Free-to-Paid Conversion:
  PLG benchmark: 2-5% of free users convert
  Freemium benchmark: 1-3%
  Enterprise self-serve: 5-15%

Time to Value = Time from signup to "aha moment"
  # Reduce this aggressively — strongest lever for activation

### Vanity vs Real Metrics

Vanity (Avoid)Real (Track)Total signupsActivated users (completed key action)Page viewsEngaged sessions (>2 min or action taken)"Pipeline"Qualified pipeline (met ICP criteria)Gross revenueNet revenue (after refunds + credits)Total customersActive customers (logged in last 30d)DownloadsWAU/MAU"Partnerships"Revenue from partnerships

### Common Manipulation Tactics to Watch

🚩 Counting annual contracts as MRR at signing (vs. monthly recognition)
🚩 Excluding "one-time" churns from churn rate
🚩 Using gross revenue instead of net
🚩 Measuring CAC without fully-loaded costs
🚩 Cherry-picking best cohort as "representative"
🚩 Counting reactivations as new customers
🚩 Using "committed ARR" (signed but not live)
🚩 Trailing-12-month NDR when recent cohorts are worse

### When CAC Is Too High

1. Audit channel efficiency — kill bottom 20% channels
2. Improve activation rate (reduces wasted spend)
3. Increase conversion at each funnel stage (+10% each = compound effect)
4. Shift mix: more organic/PLG, less paid
5. Reduce sales cycle length (lower cost per deal)
6. Tighten ICP — stop selling to bad-fit customers

### When Churn Is Too High

1. Segment: which customers churn? (Size, channel, use case)
2. Time: when do they churn? (Month 1-3 = onboarding, 6-12 = value, 12+ = competition)
3. Reason: exit survey + CS interviews (top 3 reasons)
4. Fix activation if month 1-3 churn
5. Fix value delivery if month 6-12 churn
6. Fix switching cost / competitive moat if 12+ churn

### When Growth Stalls

1. Check: is TAM exhausted in current segment? → Expand to adjacent
2. Check: conversion rates declining? → Product or message fatigue
3. Check: CAC rising with flat volume? → Channel saturation
4. Check: expansion revenue flat? → Packaging/pricing problem
5. Check: sales cycle lengthening? → Market conditions or competition

### When Raising Capital

Metrics investors care about BY STAGE:

Pre-seed: Engagement, retention curves, market size
Seed: MoM growth (15%+), retention cohorts, early unit economics
Series A: $1M+ ARR, 3x+ YoY growth, LTV:CAC > 3, NDR > 100%
Series B: $5M+ ARR, path to Rule of 40, burn multiple < 2, sales efficiency

### Quick Commands

"Set up metrics for [stage] [model] startup" → Full metric stack recommendation
"Diagnose [metric]" → PULSE diagnostic framework
"Build investor update for [month]" → Template with guidance
"Cohort analysis on [data]" → Retention curve analysis
"Compare us to benchmarks" → Gap analysis vs stage-appropriate benchmarks
"What metrics for Series [A/B] raise?" → Investor-ready checklist
"Calculate unit economics from [data]" → Full LTV, CAC, payback analysis
"Red flag check" → Scan metrics for warning signs
"Board deck metrics" → Generate slide-ready metric views

### Multi-Product Companies

Track metrics per product line AND blended. Watch for cross-subsidization where one product's margins mask another's losses.

### Usage-Based Pricing

MRR is estimated, not contracted. Track committed vs consumed. Expansion is automatic (usage growth), so NDR is naturally higher — compare to usage-based peers, not seat-based.

### Negative Churn via Price Increases

If NDR > 100% only because of price increases (not organic expansion), this is fragile. Separate price-driven vs usage-driven expansion.

### Very Early Stage (Pre-Revenue)

Track leading indicators: activation rate, engagement frequency, NPS, waitlist growth, organic traffic, time-to-value. Revenue metrics come later — don't force them.

### Seasonal Businesses

Use YoY comparisons, not MoM. Adjust cohort analysis for seasonal patterns. Build seasonal forecast models.

Built by AfrexAI — turning data into revenue.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: 1kalin
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/afrexai-startup-metrics-engine)
- [Send to Agent page](https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent)
- [JSON manifest](https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/afrexai-startup-metrics-engine/agent.md)
- [Download page](https://openagent3.xyz/downloads/afrexai-startup-metrics-engine)