TL;DR Most post-mortems fall apart not because teams lack curiosity, but because the scramble to pull data takes so long that everyone mentally moves on. Using a 6-step framework with clearly defined AI and human responsibilities shrinks a post-mortem from half a day to under 90 minutes, while delivering richer insights than manual spreadsheet analysis. Databox Genie pinpoints which channels or sources are behind any pipeline decline, calls them out in highlighted notes, and calculates the dollar impact so the post-mortem kicks off with concrete facts instead of speculation. AI can reveal patterns people overlook, but it cannot see into deal-room dynamics, staffing constraints, or the rationale for in-flight creative changes. Post-mortems rarely drive new behavior when action items lack clear owners and real deadlines. You need well-governed metric definitions, calculations executed in tested code instead of a language model, and a system that is transparent enough to admit when it doesn’t know. A marketing leader planning next year’s budget should care more about the cost of defending a number than the speed of producing one. Introduction A marketing director sits down ten days after a campaign ends. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution spreadsheet, and a blank document that’s supposed to become the post-mortem report. The meeting is in two hours. She knows something went wrong in the middle of the funnel (pipeline missed the goal), but she can’t pinpoint where or why until she reconciles data across all six tools. She’ll spend the next 90 minutes copying and pasting data and…