afrexai-startup-metrics-engine

# 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.

---

## Phase 1: Metrics Architecture

### Step 1 — Identify Your Model & Stage

Before tracking anything, classify yourself:

**Business Model:**
```yaml
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):**

| Stage | ARR Range | North Star Focus | Board Cares About |
|-------|-----------|-------------------|-------------------|
| Pre-seed | $0-$50K | Engagement + retention signal | Problem-solution fit evidence |
| Seed | $50K-$500K | Cohort retention + early revenue | Product-market fit signals |
| Series A | $500K-$3M | Growth efficiency + unit economics | LTV:CAC, NDR, growth rate |
| Series B | $3M-$15M | Scalability + operating leverage | Rule of 40, magic number, burn multiple |
| Growth | $15M+ | Capital efficiency + market share | Net 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 at...

# Startup Metrics Command Center

The most comprehensive startup metrics skill for AI agents. Not just formulas — complete diagnostic frameworks, cohort analysis methodology, board-ready reporting templates, and action playbooks for when numbers go wrong.

## Install

```bash
clawhub install afrexai-startup-metrics-engine
```

## What's Inside

- **Complete formula reference** — Revenue, unit economics, retention, growth efficiency, cash, sales metrics with benchmarks at every stage
- **PULSE diagnostic framework** — Pattern → Upstream → Leverage → So-What → Experiment methodology for investigating metric problems
- **Cohort analysis system** — Revenue and engagement cohort tables with red flag detection
- **Investor reporting templates** — Monthly update template, board deck metric slides, fundraising-stage checklists
- **Model-specific metrics** — SaaS, marketplace, consumer/PLG, hardware+software
- **Action playbooks** — Step-by-step fixes for high CAC, high churn, stalled growth
- **Vanity metric detector** — Identify and replace misleading metrics with real ones

## Quick Start

Ask your agent:
- "Set up metrics for seed-stage SaaS startup"
- "Diagnose why our churn increased"
- "Build investor update for January"
- "What metrics do I need for Series A?"

## Who This Is For

Founders, operators, and finance teams tracking startup health from pre-seed through growth stage. Works with any AI agent (OpenClaw, Claude, GPT).

---

⚡ **Level Up Your Agent**

Get the complete **SaaS Context Pack** ($47) — industry-specific frameworks, competitive intelligence, pricing strategy, and growth playbooks for SaaS companies:

👉 [Browse Context Packs](https://afrexai-cto.github.io/context-packs/)

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