1 min read Free

Goals Metrics Dashboards and Reporting Series #3: The Gamers: How Metrics Get Gamed and What It Costs You

People rationally optimize the metrics an organization rewards, even when those targets no longer reflect the intended outcome. Strong measurement systems anticipate this decay by pairing targets with outcomes, guardrails, and human review, then examining incentives before blaming behavior.
1 min read Free

Goals Metrics Dashboards and Reporting Series #2: The Metric That Lies: Why Vanity Numbers Look Good and Mean Nothing

A metric is useful only if it changes a decision. Building a causal tree from outcomes through drivers, leading indicators, guardrails, and thresholds exposes vanity numbers, limits dashboard sprawl, and clarifies what action follows when a measure moves.
1 min read Free

Goals Metrics Dashboards and Reporting Series #1: Why Your Goals Keep Failing (And What Actually Works)

Goals fail when planning produces a document instead of changed behavior. A small set of qualitative objectives, measurable results, and monthly reviews creates real prioritization, while treating each goal as a revisable hypothesis keeps teams responsive to evidence.
4 min read Free

Building AI Products Series #10: The Building AI Products Audit

A working demo proves possibility, not readiness. A rigorous audit tests whether an AI product can deliver repeatable value amid messy data, real workflows, uncertain outputs, cost, latency, permissions, support demands, and model drift.
3 min read Free

Building AI Products Series #9: AI Product Metrics, Economics, and Support Burden

Adoption alone cannot establish an AI feature’s value. Metrics must connect completed user outcomes with model quality, latency, trust, support burden, and total workflow cost, revealing whether frequent use produces durable economic value.
4 min read Free

Building AI Products Series #8: Data Flywheels Without Magical Thinking

A data flywheel is not created by accumulating usage. It requires meaningful work, useful feedback, legitimate rights and consent, plus a mechanism that converts those signals into better behavior while sustaining enough user value to continue the loop.
3 min read Free

Building AI Products Series #7: Model Choice Is Product Strategy

Model selection determines far more than technical performance. It shapes cost, latency, privacy, reliability, UX, support, and competitive durability. The right architecture may combine rules, retrieval, smaller models, frontier systems, and human review around the product promise.
3 min read Free

Building AI Products Series #6: Evals Are Product Requirements

Evaluation standards are product requirements because they define good output, acceptable failure, release gates, and review needs. Representative gold sets, automatic checks, human judgment, and production monitoring turn a persuasive demo into a responsibly managed product.

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