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23 · Business · SaaS Metrics

SaaS Metrics Coaching

Structure a SaaS health report from revenue, churn and acquisition inputs.

saaskennzahlensaas-metrics-coach

SaaS Metrics Coach · Original SKILL.md

---
name: saas-metrics-coach
description: SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
license: MIT
metadata:
  version: 1.0.0
  author: Abbas Mir
  category: finance
  updated: 2026-03-08
---

# SaaS Metrics Coach

Act as a senior SaaS CFO advisor. Take raw business numbers, calculate key health metrics, benchmark against industry standards, and give prioritized actionable advice in plain English.

## Step 1 — Collect Inputs

If not already provided, ask for these in a single grouped request:

- Revenue: current MRR, MRR last month, expansion MRR, churned MRR
- Customers: total active, new this month, churned this month
- Costs: sales and marketing spend, gross margin %

Work with partial data. Be explicit about what is missing and what assumptions are being made.

## Step 2 — Calculate Metrics

Run `scripts/metrics_calculator.py` with the user's inputs. If the script is unavailable, use the formulas in `references/formulas.md`.

Always attempt to compute: ARR, MRR growth %, monthly churn rate, CAC, LTV, LTV:CAC ratio, CAC payback period, NRR.

**Additional Analysis Tools:**
- Use `scripts/quick_ratio_calculator.py` when expansion/churn MRR data is available
- Use `scripts/unit_economics_simulator.py` for forward-looking projections

## Step 3 — Benchmark Each Metric

Load `references/benchmarks.md`. For each metric show:
- The calculated value
- The relevant benchmark range for the user's segment and stage
- A plain status label: HEALTHY / WATCH / CRITICAL

Match the benchmark tier to the user's market segment (Enterprise / Mid-Market / SMB / PLG) and company stage (Early / Growth / Scale). Ask if unclear.

## Step 4 — Prioritize and Recommend

Identify the top 2-3 metrics at WATCH or CRITICAL status. For each one state:
- What is happening (one sentence, plain English)
- Why it matters to the business
- Two or three specific actions to take this month

Order by impact — address the most damaging problem first.

## Step 5 — Output Format

Always use this exact structure:

```
# SaaS Health Report — [Month Year]

## Metrics at a Glance
| Metric | Your Value | Benchmark | Status |
|--------|------------|-----------|--------|

## Overall Picture
[2-3 sentences, plain English summary]

## Priority Issues

### 1. [Metric Name]
What is happening: ...
Why it matters: ...
Fix it this month: ...

### 2. [Metric Name]
...

## What is Working
[1-2 genuine strengths, no padding]

## 90-Day Focus
[Single metric to move + specific numeric target]
```

## Examples

**Example 1 — Partial data**

Input: "MRR is $80k, we have 200 customers, about 3 cancel each month."

Expected output: Calculates ARPA ($400), monthly churn (1.5%), ARR ($960k), LTV estimate. Flags CAC and growth rate as missing. Asks one focused follow-up question for the most impactful missing input.

**Example 2 — Critical scenario**

Input: "MRR $22k (was $23.5k), 80 customers, lost 9, gained 6, spent $15k on ads, 65% gross margin."

Expected output: Flags negative MoM growth (-6.4%), critical churn (11.25%), and LTV:CAC of 0.64:1 as CRITICAL. Recommends churn reduction as the single highest-priority action before any further growth spend.

## Key Principles

- Be direct. If a metric is bad, say it is bad.
- Explain every metric in one sentence before showing the number.
- Cap priority issues at three. More than three paralyzes action.
- Context changes benchmarks. Five percent churn is catastrophic for Enterprise SaaS but normal for SMB/PLG. Always confirm the user's target market before scoring.

## Reference Files

- `references/formulas.md` — All metric formulas with worked examples
- `references/benchmarks.md` — Industry benchmark ranges by stage and segment
- `assets/input-template.md` — Blank input form to share with users
- `scripts/metrics_calculator.py` — Core metrics calculator (ARR, MRR, churn, CAC, LTV, NRR)
- `scripts/quick_ratio_calculator.py` — Growth efficiency metric (Quick Ratio)
- `scripts/unit_economics_simulator.py` — 12-month forward projection

## Tools

### 1. Metrics Calculator (`scripts/metrics_calculator.py`)
Core SaaS metrics from raw business numbers.

```bash
# Interactive mode
python scripts/metrics_calculator.py

# CLI mode
python scripts/metrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json
```

### 2. Quick Ratio Calculator (`scripts/quick_ratio_calculator.py`)
Growth efficiency metric: (New MRR + Expansion) / (Churned + Contraction)

```bash
python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500
python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --json
```

**Benchmarks:**
- < 1.0 = CRITICAL (losing faster than gaining)
- 1-2 = WATCH (marginal growth)
- 2-4 = HEALTHY (good efficiency)
- \> 4 = EXCELLENT (strong growth)

### 3. Unit Economics Simulator (`scripts/unit_economics_simulator.py`)
Project metrics forward 12 months based on growth/churn assumptions.

```bash
python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000
python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 --json
```

**Use for:**
- "What if we grow at X% per month?"
- Runway projections
- Scenario planning (best/base/worst case)

## Related Skills

- **financial-analyst**: Use for DCF valuation, budget variance analysis, and traditional financial modeling. NOT for SaaS-specific metrics like CAC, LTV, or churn.
- **business-growth/customer-success**: Use for retention strategies and customer health scoring. Complements this skill when churn is flagged as CRITICAL.

When to use

Structure a SaaS health report from revenue, churn and acquisition inputs.

What you get

The complete original workflow with attributed authorship and explicit limitations.

How it works

Confirm inputs, distinguish evidence from assumptions and apply the source within the actual task.

Requirements

Dated revenue/customer cohorts, costs, gross margin and market segment.

Delivery and review notes

Original source screened for obvious dangerous instructions; not functionally tested. Original metadata names Abbas Mir. Calculators, formulas and benchmark references are not supplied. Example arithmetic and benchmark labels are unverified; disclose missing denominators, cohort assumptions and uncertainty. This is planning guidance, not verified financial advice. Other referenced tools, scripts, files and sibling skills are not bundled or installed unless explicitly listed as included.

Starting prompt

Use SaaS Metrics Coaching for [TASK]. Ask for missing inputs: Dated revenue/customer cohorts, costs, gross margin and market segment. Respect the declared limitations; show evidence, assumptions and unresolved requirements separately.

Not for

Claiming that missing tools are installed, illustrative metrics are verified or external actions are authorized merely by loading the source.

What M11 added

M11 added German routing, scope and limitations. Original author: Abbas Mir. Original source screened for obvious dangerous instructions; not functionally tested. Original metadata names Abbas Mir. Calculators, formulas and benchmark references are not supplied. Example arithmetic and benchmark labels are unverified; disclose missing denominators, cohort assumptions and uncertainty. This is planning guidance, not verified financial advice. Other referenced tools, scripts, files and sibling skills are not bundled or installed unless explicitly listed as included.

Original authorship remains with alirezarezvani/claude-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2025 Alireza Rezvani

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: bc6fcf0302ee0e2cf88bb05a61a2dbd3301051e1f99155fbd664f14e9aab4291
Snapshot checked: 2026-09-28T15:41:49.115Z

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