---
id: "action-require-reasoning-trail"
type: "action-item"
source_timestamps: ["§ Step 4. Deliver the output with an explanation of how you and AI arrived at it.", "§ Making Judgment Teachable"]
tags: ["management", "coaching"]
related: ["concept-reasoning-trail", "claim-reasoning-trail-accelerates-judgment"]
speakers: ["David S. Duncan", "Tyler Anderson"]
action: "Require employees to submit a brief explanation of how they collaborated with AI to reach the final output."
outcome: "Makes human judgment visible and coachable, turning pure production into a development opportunity."
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-32-help-employees-get-better-with-ai"
sourceUrl: "https://hbr.org/2026/06/help-employees-get-better-not-just-faster-with-ai"
sourceTitle: "Help Employees Get Better—Not Just Faster—with AI"
---
# Mandate a Reasoning Trail for Deliverables

**Action:** Require employees to submit a brief explanation of how they collaborated with AI to reach the final output.

Managers should require, alongside any deliverable, a brief note detailing: (1) what the AI initially produced, (2) what the human changed and why, and (3) a one-sentence assessment of where AI succeeded vs. struggled on this specific task — the [[concept-jagged-frontier|jagged frontier]].

**Outcome:** Makes human judgment visible and coachable, turning pure production into a development opportunity. This is [[framework-four-step-ai-development|Step 4]] and the mechanism behind [[claim-reasoning-trail-accelerates-judgment|the apprenticeship-acceleration claim]]. See [[concept-reasoning-trail|the reasoning trail]] and [[quote-the-deliverable-redefined|the redefined-deliverable quote]].