Field Notes
Stories, case notes, and lessons from real analysis work.
Short pieces about data, AI, mistakes, experiments, business judgment, dashboards, spreadsheet work, and better decisions.
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Analysis lessons from the archive.
These are not random posts. They are proof-bearing notes: each one shows a recurring failure pattern the labs are designed to fix.
Why clean ARR dashboards can mislead
A dashboard can look executive-ready and still hide metric logic that changes the story.
When LTV/CAC lies by averaging unlike customers
Blended customer economics can hide whether newer cohorts are improving or deteriorating.
Why forecasts fail when assumptions are not owned
Forecasts usually break before the spreadsheet breaks. The assumptions go stale first.
Cohort retention and customer value
The right cohort view can turn vague retention talk into a decision about acquisition, pricing, onboarding, or account management.
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