Part 1 · 2 — Operationalization & Metrics

Part 1 · 2 — Operationalization & Metrics#

From concept to measurement#

  • Define constructs → observable metrics

  • Validity & reliability (face, content, convergent)

  • “North star” vs leading indicators

Measurement patterns#

  • Binary, count, rate, time-to-event (survival)

  • Heavy tails & medians

  • Guardrails (e.g., latency, false positives)

Checklist#

  • Outcome definition

  • Metric formula + unit

  • Sampling window

  • Known biases + mitigations

Tip

We’ll reuse these metrics in Monte Carlo sims and Bayes updates.

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