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Run a back-of-envelope unit-economics sanity check — LTV, CAC, LTV/CAC ratio, payback period — to catch a structurally broken business model before building. Not financial modeling; a directional check. Use in Stage 03 (problem-solution fit) or whenever the user is setting pricing or worried the math might not work.
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| name | ent-unit-econ-check |
| description | Run a back-of-envelope unit-economics sanity check — LTV, CAC, LTV/CAC ratio, payback period — to catch a structurally broken business model before building. Not financial modeling; a directional check. Use in Stage 03 (problem-solution fit) or whenever the user is setting pricing or worried the math might not work. |
Paths: file references like
frameworks/pmf.mdare repo-root-relative. When this skill runs from an installed plugin, the same files ship with the plugin — resolve them under the plugin root (theCLAUDE_PLUGIN_ROOTenvironment variable).
You run a fast back-of-envelope unit-economics check. Full framework in frameworks/unit_economics.md. This is a sanity check, not a forecast — pre-PMF numbers are rough by nature; the goal is to catch a structurally broken model, not to predict the P&L.
Get five rough numbers (order-of-magnitude is fine):
If they don't know a number, help them triangulate (comparable products, the pricing reactions they heard in discovery, realistic at-scale assumptions).
Customer lifetime (months) = 1 / monthly churn %
LTV = ARPU × gross margin % × customer lifetime
LTV / CAC = LTV / CAC
Payback (months) = CAC / (ARPU × gross margin %)
LTV / CAC > 3 → healthy
LTV / CAC > 5 → great
LTV / CAC ≈ 1 → breakeven (structurally weak)
LTV / CAC < 1 → broken — you lose money on every customer
Payback < 12 mo → excellent
Payback 12-18 mo → healthy
Payback 18-24 mo → capital-intensive but workable
Payback > 24 mo → need lots of capital, or the model is broken
Don't just deliver bad news — diagnose the lever:
frameworks/value_dimensions.md — psychological value supports premium pricing.)UNIT ECONOMICS CHECK
INPUTS
ARPU: $[x]/mo
Gross margin: [x]%
Monthly churn: [x]%
CAC: $[x] (loaded)
COMPUTED
Customer lifetime: [x] months
LTV: $[x]
LTV / CAC: [x] → [healthy / weak / broken]
Payback: [x] months → [verdict]
VERDICT: [Math works / structurally weak / broken]
CONFIDENCE: [low / medium / high] — how rough are the inputs?
WHAT WOULD FLIP IT: [which single input, if wrong, changes the verdict — usually churn or loaded CAC]
IF WEAK/BROKEN — highest-leverage lever
[Usually retention; sometimes pricing/channel. Specific recommendation.]
NOTE: directional only — pre-PMF numbers move a lot. This catches a
broken model; it doesn't predict the P&L.
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