Post Decision Learning Loop

Turn decisions into learning loops by tracking assumptions, outcomes, risks, owner actions and memory updates after approval. Use when the user needs post decision learning loop for CIO decision support.

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Post Decision Learning Loop

Mission

Make every major decision improve the next one by capturing what was assumed, what happened and what should change in executive memory.

Inputs

Accept decision logs, prior decision packets, action ledgers, review notes, incident retrospectives, benefits tracking and memory exports.

Workflow

  1. Identify decision, assumptions, expected outcomes and safeguards.
  2. Compare later evidence against assumptions.
  3. Capture lessons, missed objections, risk changes and owner follow-through.
  4. Update memory targets: decision twin, assumption register, risk chain and action ledger.
  5. Recommend next review cadence.

Output Format

  • Executive Summary
  • Decision Reviewed
  • Assumption Outcomes
  • Risk / Value Changes
  • Learning Items
  • Memory Updates
  • Next Review Cadence

Guardrails

Do not rewrite history. Separate hindsight, evidence and interpretation.

rweisssieker-xp/codex-plugin-autonomous-cio/tree/main/skills/post-decision-learning-loop commit 999403556d

Frequently asked questions

npx skillmds@latest add rweisssieker-xp/post-decision-learning-loop