Glossary

Pre-mortem

Definition

A planning exercise in which the team imagines that a project has already failed, then identifies the most plausible reasons for that failure — done before the project begins, to surface risks and blind spots in advance.

The pre-mortem was popularized by psychologist Gary Klein as a counterweight to planning optimism bias. Most planning sessions ask: how will this succeed? The pre-mortem flips the question: assume it failed — why?

Why it works: The prospective hindsight technique (imagining an outcome as already having occurred) produces more and better risk identification than conventional risk brainstorming. When people know the answer — even a hypothetical one — they reason more clearly about causes.

How to run it on a whiteboard:

  1. The facilitator states: 'It's six months from now. The project failed. What happened?'
  2. Each team member silently writes failure causes on sticky notes — one per note, 5–7 minutes.
  3. Notes go on the board. Facilitator groups them into themes.
  4. The team votes on the most likely and most severe failure modes.
  5. Top failures become risk items in the project plan, each with an owner and a mitigation.

Pre-mortem vs. risk register: A risk register is often maintained by a PM and reviewed periodically. A pre-mortem is a team exercise that generates the inputs for that register and builds shared awareness of what could go wrong.

Snap the pre-mortem whiteboard with BoardSnap. The AI extracts the failure modes, groups them by theme, and generates action items for the top risks — turning a brainstorm into a risk mitigation plan.

Examples

  • A product team runs a pre-mortem before a major API migration and identifies three failure modes: data loss, downtime, and downstream service breakage — each gets a mitigation owner.
  • A startup founder runs a pre-mortem before a fundraising round to identify which assumptions could kill the deal.
  • An engineering team uses the pre-mortem outputs to build the acceptance criteria for a high-risk feature.
  • A consultant facilitates a pre-mortem with a client before a product launch, then feeds the results directly into the launch checklist.

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