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How to ThinkIn the Age of AI

When the leading indicator improves but the outcome…

When a leading indicator improves but its paired lagging outcome does not follow within the expected timeframe, treat the leading indicator as broken (gamed, confounded, or non-predictive) and replace it.

When This Fires

  • When a tracked leading indicator trends upward but the paired outcome is flat
  • During monthly metric reviews when validating indicator pairs
  • When you feel productive (leading indicators look great) but outcomes aren't materializing
  • Any measurement system where activity metrics and outcome metrics diverge

Common Failure Mode

Doubling down on the leading indicator: "I just need to push deep work hours even higher." But the divergence means more of the leading indicator won't produce more of the outcome — the link is broken. Increasing a broken indicator produces more activity without more results, compounding the waste.

The Protocol

When leading and lagging indicators diverge: (1) Confirm the expected timeframe has elapsed (some outcomes lag by weeks or months). (2) If divergence persists past the expected lag → diagnose: is the leading indicator gamed (you're optimizing the metric, not the behavior it was supposed to measure)? Confounded (conditions changed)? Non-predictive (the link was never causal)? (3) Replace the leading indicator with a new upstream behavior you believe is more directly causal. (4) Re-validate the new pair over 4-6 weeks (Pair every important outcome with 1-2 leading indicators…). Indicator pairs need periodic validation — they're hypotheses about causation, not permanent truths.