Failure Analysis Engine with AI
Use AI to imagine a project has failed, then work backwards to find risks, warning signs and prevention steps.

Prompt

Assume the project, decision or plan below has failed six months from now. Work backwards calmly and practically. Do not create dramatic risks unless the details support them.

Project or decision:
[PASTE DETAILS]

Goal:
[WHAT SUCCESS SHOULD HAVE LOOKED LIKE]

People or teams involved:
[WHO IS INVOLVED]

Known constraints:
[PASTE CONSTRAINTS]

Please explain:
- what most likely went wrong
- early warning signs we missed
- weak assumptions
- hidden dependencies
- people or teams affected
- preventable risks
- actions we can take now

End with:
- top 5 risks
- prevention plan
- owner or role for each action
- confidence level for each risk

Example Input

Project: new internal AI training programme. Goal: staff use AI safely for everyday admin. Teams: office staff, manager, trainer. Constraints: limited time, mixed confidence and unclear follow-up support.

Example Output

A failure review with likely causes, warning signs, assumptions, hidden dependencies, top risks and prevention actions with owners.

Before you ask

Add the project, success goal, people involved and known constraints. Include what you are already worried about.

Check before use

Check that each risk has a practical prevention action and a real owner or role.

Common mistakes

Using a failure review as a prediction instead of a planning tool for reducing risk.

Useful for:

Work

Works well with:

ChatGPT, Gemini, Copilot
Nova9 Tools

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