---
id: "action-review-film"
type: "action-item"
source_timestamps: ["¶16"]
tags: ["continuous-improvement", "accountability"]
related: ["framework-tough-calls", "quote-instinct-is-preparation"]
action: "Extensively review, analyze, and discuss the outcomes of major decisions with your team."
outcome: "Normalized failure, repaired trust, and upgraded operational systems."
speakers: ["Alan McCall", "Adrian Wolfberg", "Johann Bilsborough", "Ricard Pruna"]
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-77-new-data-using-ai"
sourceUrl: "https://hbr.org/2026/06/new-data-on-how-were-really-using-ai"
sourceTitle: "New Data on How We’re Really Using AI"
---
# Implement rigorous 'film review' after decisions

**Action:** Extensively review, analyze, and discuss the outcomes of major decisions with your team (a 'film review').
**Outcome:** Normalized failure, repaired trust, and upgraded operational systems.

The 'After' phase of [[framework-tough-calls]] is critical. Leaders must weave post-mortem analyses (akin to sports 'film review') into the organizational fabric. The goal is **not punitive**: it is to normalize being wrong, learn how to choose well among viable options, take ownership of results, and use the new data to upgrade systems that are no longer working. This pairs with the accountability half of [[quote-instinct-is-preparation]] — accountability in the aftermath is as important as the decision itself.