saas-metrics

Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers. Use when asked to calculate SaaS metrics, MRR/ARR, net revenue retention, the quick ratio, or to build a SaaS metrics snapshot for a board/investor update. Produces a computed metrics dashboard with each value, its benchmark, and a one-line read on what it means.

Published by mohitagw15856 ↗mohitagw15856/pm-claude-skills

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saas-metrics

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Use saas-metrics to calculate a board-ready SaaS metrics snapshot for [company and period] from [MRR movements and optional customer counts or S&M spend], with definitions, benchmarks, a health readout, and unavailable metrics explicitly flagged.

Required inputs

[company and period]
[MRR movements and optional customer counts or S&M spend]

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SKILL.md

name: saas-metricsdescription: "Compute the core SaaS metrics — MRR/ARR, growth, NRR/GRR, churn, quick ratio, magic number — from your numbers. Use when asked to calculate SaaS metrics, MRR/ARR, net revenue retention, the quick ratio, or to build a SaaS metrics snapshot for a board/investor update. Produces a computed metrics dashboard with each value, its benchmark, and a one-line read on what it means."

SaaS Metrics Skill

Investors and boards judge a SaaS business on a standard metric set — and getting the definitions right matters as much as the numbers. This skill computes MRR/ARR, growth, net and gross revenue retention, churn, the quick ratio, and the magic number from your movement data, each with its benchmark and a plain read — so a board update or investor snapshot is correct and defensible.

Required Inputs

Ask for these only if they aren't already provided:

Starting MRR and the month's movement: new, expansion, contraction, churned MRR.
Customer counts (start, churned) if you want logo churn too.
S&M spend (prior period) if you want the magic number.
Or just paste what you have — the skill computes what the inputs allow and flags the rest.

Output Format

SaaS Metrics: [company], [period]

A computed dashboard (use the helper script):

Metric	Value	Benchmark	Read
MRR / ARR
MRR growth %
Net Revenue Retention		≥ 100% (great ≥ 110%)
Gross Revenue Retention		≥ 90%
Revenue churn %
Quick ratio ((new+exp)/(churn+contr))		≥ 4 strong
Magic number (if S&M given)		≥ 0.75 efficient

What it says — 2–3 lines: the health story the numbers tell, and the one metric to fix first.

Definitions used — state each formula explicitly (NRR excludes new customers; GRR caps at 100%), so the numbers are comparable and audit-proof.

Programmatic Helper

scripts/saas_metrics.py (stdlib only) computes the set from the MRR movement:

# in.json: {"starting_mrr":100000,"new":12000,"expansion":6000,"contraction":2000,"churned":4000,"sm_spend_prior":40000}
python3 scripts/saas_metrics.py in.json
python3 scripts/saas_metrics.py in.json --json

Quality Checks

NRR excludes new MRR (it measures the existing base only) — the most-botched definition
GRR is capped at 100% (it can't exceed retention of what you had)
Each metric is shown against its standard benchmark
The formulas used are stated, so the numbers are comparable across reports
Metrics that can't be computed from the given inputs are flagged, not guessed

Anti-Patterns

Do not include new customers in NRR — that's a different (and misleadingly flattering) number
Do not mix monthly and annual figures without converting — label MRR vs ARR clearly
Do not report a metric without its definition — "120% retention" is meaningless without the formula
Do not vanity-pick metrics — show churn and contraction alongside the growth numbers
Do not present computed values to false precision — round sensibly and flag assumptions

Based On

Standard SaaS metrics definitions (Bessemer / a16z / KeyBanc) — NRR/GRR, quick ratio, magic number.

Example Trigger Phrases

"Calculate our SaaS metrics."
"Work out MRR and ARR."
"What's our net revenue retention?"
"Build a SaaS metrics snapshot for the board."