Metrics & Evidence
Measurement, instrumentation, experiments, evals, attribution, evidence quality, and the interpretation of observed results.
Essays in This Topic
What Do You Do When You Don’t Have Time for Discovery?
Under severe time pressure, discovery changes form rather than disappearing; existing behavior and operational residue become evidence.
Are You Running a Learning Bet Like an Execution Plan?
Learning work and execution work need different governance because one reduces uncertainty while the other fulfills a commitment.
If Product Ops Makes Reporting Better but Decisions Stay Slow, What Did You Fix?
Product Ops creates leverage when it improves how evidence moves into decisions, not when it merely produces dashboards and ceremonies.
Do You Actually Agree on What That Metric Means?
Shared metric definitions govern what the organization believes, compares, funds, and rewards.
What If Every Team Is Hitting Its Goal and the Product Is Still Losing?
Local optimization becomes a product problem when accountability stops at team boundaries but the outcome crosses them.
What Happens to the Economics When One More Customer Says Yes?
Adoption and revenue are incomplete signals if you cannot reason about variable cost and cost to serve.
If You Shipped Everything, What Did the Business Actually Get?
Executive product communication should explain why capital was deployed, what changed, what was learned, and what should happen next.
They Used It. So What?
Activity is evidence of behavior, not proof of customer value or business value.
What If More Growth Makes the Economics Worse?
A product can grow exactly as intended and still become economically worse when cost grows faster than value captured.
What If Every New User Makes the Product Worse?
Network growth creates value only when additional participants improve the probability or quality of useful interaction.
The AI Demo Worked. Do You Have Evidence Yet?
A demo proves behavior can occur under selected conditions; evaluation tests whether it works reliably across the conditions that matter.
Everyone’s Using AI. So Where’s the Return?
AI adoption shows usage, not whether the capability creates revenue, reduces cost, improves decisions, or earns a return.
The AI Was Right. So Why Did Nothing Change?
An AI system can be technically excellent and economically useless when its output does not convert into a decision or behavior change.
Revenue Went Up. What Actually Drove It?
When multiple interventions move at once, product teams should resist claiming outcomes they cannot credibly attribute to their work.
