ConeheadAI · leftover lesson
SNK3-242 · Curriculum How-to
Measure outcomes, not logins
L3–L6 · Verifier–Architect (bootstrap — system rebalances) · ~8m
Look for this insight
AI adoption metrics that matter count verified work shipped (hours saved, drafts used, errors caught), not seat activations.
Lesson hook
Every vendor dashboard counts logins; none of them count value. The metrics that matter: hours saved on named tasks, AI drafts that shipped after review, errors caught before send. If you can't name the outcome, you're measuring enthusiasm.
Do this now
Pick one team AI use. Define its outcome metric (time saved per instance, drafts used, errors caught) and measure one week's worth. You're done when you have a number — even a rough one — that isn't 'active users'.
Completion check: has_non_login_outcome_number
Conehead-only — no external link
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