Pre-mortems

A post-mortem asks why the failure happened. A pre-mortem asks why the failure will happen, before the project starts. The difference is whether the learning is free or expensive. Pre-mortems are one of the highest-leverage, lowest-cost tools in the operator toolkit. They take an hour. They save quarters.

The exercise

Before you commit to a significant initiative, run a 60-minute meeting. Whiteboard at the front. The facilitator opens:

"It's 12 months from now. We launched this initiative. It failed completely. The board is asking what happened. Take 10 minutes, by yourself, and write down every reason you can imagine for why it failed."

Silent individual writing first, critical. Then round-robin, each person reads one item. Build the list on the board. Discussion after. Resist the urge to defend or dismiss.

Why this works

Clustering the failure modes

After the brainstorm, group the items into categories. Typical buckets:

From failure mode to action

The most likely + most damaging failure modes each get:

  1. An early warning signal. What metric or event would tell us this is happening?
  2. A prevention. What can we do now to reduce the probability?
  3. A mitigation. If it happens anyway, what do we do to limit damage?
  4. A decision-maker. Who has authority to pull the plug or change course?
Example.
Failure mode: "We built the wrong thing, customers didn't actually want it."
Early warning: Design partners can't articulate value after 30 days.
Prevention: 5 paid LOIs signed before engineering starts.
Mitigation: Month-3 kill review; 50% pivot budget reserved.
Decision-maker: CEO + product lead jointly.

When to run a pre-mortem

Not for every sprint. You'd drown in pre-mortems. For the decisions that matter.

The common mistake

Running the pre-mortem, filing the notes, then never referencing them. The output has to feed somewhere, into the project's kill criteria, the WBR dashboard, the quarterly risk review. Otherwise you had a cathartic exercise that generated no durable value.

What good looks like

Related: Decision frameworks · What to kill · Risk management