Skip to content
How to ThinkIn the Age of AI

Translate every discrepancy into a specific behavioral…

When a feedback loop identifies a discrepancy between current and target state, translate the evaluation into a specific behavioral adjustment for the next cycle rather than stopping at awareness, because learning occurs during adjustment not observation.

When This Fires

  • Every time a feedback loop produces a discrepancy between current and target state
  • When review sessions produce insights but not changes — you're stopping at evaluation
  • When the same discrepancy appears in multiple consecutive reviews — the adjustment phase is failing
  • Complements A complete feedback loop needs three elements (feedback loop structure) by emphasizing the most frequently missing component

Common Failure Mode

Stopping at awareness: "I noticed my meetings run over time." This is observation + evaluation without adjustment. What will you do differently in the next meeting? Without a specific behavioral change, the next meeting will run over for the same reasons. The loop must complete: observe → evaluate → adjust → act differently in the next cycle.

The Protocol

(1) When a feedback loop reveals a discrepancy (current state ≠ target state), don't stop at "I see the gap." (2) Ask: "What specific thing will I do differently in the next cycle?" (3) The answer must be behavioral and specific: not "be more focused" but "close email and put phone in drawer before starting." Not "run meetings better" but "state the decision question in the first 2 minutes." (4) Write the adjustment down — it's a modification to your process for the next iteration. (5) In the next cycle, implement the adjustment. After that cycle, re-observe: did the adjustment reduce the discrepancy? If yes → keep it. If no → the adjustment targeted the wrong cause. Diagnose again and try a different specific adjustment.