Skip to content
How to ThinkIn the Age of AI

A complete feedback loop needs three elements

For any recurring activity, explicitly define three elements—the specific output being measured, the standard for comparison, and the adjustment rule triggered by deviation—to create a complete minimal feedback loop.

When This Fires

  • When building feedback loops for any recurring activity
  • When an existing "feedback loop" isn't producing improvement — check for missing components
  • When you track data but don't improve — you likely have a sensor without an adjustment rule
  • Complements After recurring activities, spend 60 seconds recording… (60-second observation) with the structural design for a complete loop

Common Failure Mode

Defining the sensor but not the adjustment rule: "I track my exercise frequency." Great — but what happens when the data shows you're below target? Without a pre-defined adjustment rule, the data just makes you feel bad. A complete loop: "If I exercise fewer than 3 times this week, I replace Thursday's optional meeting with a gym session." Now the feedback produces automatic corrective action.

The Protocol

(1) For a recurring activity, define three elements: Output measured: what specific, quantifiable output will you track? Not "quality" (too vague) but "words written," "decisions made within time budget," or "meetings that end with a clear action item." Standard: what level of this output represents "on target"? A specific number or rate. Not aspirational — based on your observed baseline plus a realistic improvement margin. Adjustment rule: what specific action triggers when the measured output deviates from the standard? "If [output] is below [standard] for [period], then [specific action]." (2) Write all three down — unwritten feedback loops degrade quickly. (3) Run the loop for 4 weeks before evaluating whether the standard or adjustment rule needs recalibrating. (4) A loop with all three components, even imperfectly specified, dramatically outperforms no loop.