Use AI to create a pre-mortem analysis that helps your team spot problems before they happen.
Before launching a project or making a big decision with your team, try a pre-mortem: imagine the project has already failed, then work backward to figure out why. It's a proven way to catch risks early, but most teams skip it because it feels awkward or time-consuming. AI makes it fast and less confrontational—you can generate a list of potential failure points in minutes, then bring them to your team as conversation starters, not accusations. Start by telling AI about your project or decision in a few sentences. Ask it to imagine the project failed six months from now and list all the realistic reasons why. Review the list and pick the three or four risks that feel most relevant or likely. Then ask AI to suggest one practical action your team could take right now to reduce each risk. Share this short list with your team in your next meeting or planning session—it turns vague worry into concrete, actionable prevention. This works especially well when you're leading a project, coordinating across departments, or trying to get buy-in from a skeptical stakeholder. It shows you've thought ahead, and it invites collaboration instead of blame. Your team will appreciate that you're addressing problems before they become crises.
Try this prompt today
“Imagine it's six months from now and our project to [describe your project or initiative in one sentence] has completely failed. List 10 realistic reasons why it might have failed—focus on communication breakdowns, resource issues, misaligned expectations, and overlooked risks. Then for the top 3 most likely failure points, suggest one specific action we could take this week to prevent it.”
March 10, 2026
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