38 lines
1.2 KiB
Markdown
38 lines
1.2 KiB
Markdown
# Example: SaaS Health Diagnostic
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## Scenario
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You want a fast diagnosis from a small set of numbers, not a finance lecture.
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## Prompt
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```text
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Analyze these metrics: MRR $50k, 500 customers, gross margin 80%, monthly churn 8%, CAC $500.
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```
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## Example Output Excerpt
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```text
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Diagnosis
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- 8% monthly churn compounds to roughly 63% annual churn. This is a red flag, not a mild retention issue.
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- ARPA is about $100/month. With 80% gross margin and 8% monthly churn, better LTV is about $1,000.
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- LTV:CAC is about 2:1. That is below a healthy SaaS target, even though payback is workable at about 6.25 months.
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- The bottleneck is retention, not acquisition efficiency. Scaling paid acquisition before fixing churn will hide the real problem.
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Likely root causes to inspect next
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- Weak activation in the first 14 days
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- Low repeat value for the core job
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- Poor fit in one or more acquisition cohorts
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Recommended next step
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- Pull 3 monthly cohorts, compare retention at day 30 / 60 / 90, and isolate the biggest drop-off before changing spend.
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```
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## Why This Matters
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The useful part is not just the math. The skill converts the math into a decision:
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- what is actually broken
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- what not to optimize yet
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- what analysis should come next
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