Use AI to create a pre-mortem analysis that identifies what could go wrong before you launch anything.
Before you kick off a project, launch a new process, or roll out a major change, ask AI to imagine it's already failed spectacularly — then work backwards to tell you why. This technique, called a pre-mortem, forces you to surface risks, blockers, and oversights you'd never think of when you're focused on making something succeed. You'll walk into your kickoff meeting or planning session with a list of real concerns to address upfront, not discover later when it's too late. The best part: AI generates perspectives you'd miss because it's not emotionally invested in your idea. It can play devil's advocate without the awkwardness of asking a coworker to tear apart your plan. Feed it your project overview, timeline, or launch plan, and let it imagine every realistic failure mode — missed dependencies, communication gaps, resource shortages, stakeholder pushback, timing issues. Then use that list to build contingency plans, adjust your approach, or simply prepare better talking points when someone asks "what could go wrong?" This works for anything with stakes: launching a new workflow, proposing a budget change, rolling out a policy update, starting a cross-team initiative, or even just planning a major presentation. You'll look more prepared, catch problems early, and build trust by showing you've thought through the risks before anyone else raises them.
Try this prompt today
“Imagine it's six months from now and this project has failed badly. You're writing the post-mortem report explaining what went wrong. Based on this plan: [paste your project overview, timeline, or initiative description], list the 8 most likely reasons it failed. Be specific and realistic — focus on communication breakdowns, resource issues, timing problems, stakeholder misalignment, and overlooked dependencies.”
March 14, 2026
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