goal-to-metrics

Goodhart's Law occurs when a measure becomes a target, causing the metric to lose its value. To guard against Goodhart's Law when setting metrics, you apply regression gates and hard or soft constraints to keep proxy metrics aligned with the real underlying causes of your goal.

Creating proxy metrics with guardrails involves specifying diagnostic steps, measurable proxies, and regression gates for your project goals. You define explicit directions for the proxies and set hard or soft constraints to ensure metrics stay aligned with actual performance outcomes.

Yes, this goal measurement approach works for product, project, and performance goals across artifacts, code, meetings, and processes. It diagnoses underlying causes and infers metrics from existing artifacts to improve clarity, accountability, and decision making across teams.

Regression gates are threshold checks applied to measurable proxy metrics to prevent manipulation and metric decay. By enforcing hard and soft constraints, regression gates ensure that optimizing for a proxy metric does not regress the underlying goal it represents.

Metrics fail to reflect actual project goals when they measure surface desires instead of underlying causes. By diagnosing artifacts and patterns to derive targeted metrics with explicit directions and guardrails, you ensure the metrics accurately reflect the true goal.