Find risks before a project starts with a pre-mortem
Prompt for a pre-mortem that derives causes, warning signs and first measures from an imagined failure. Paste it into an AI tool of your choice, which then runs the pre-mortem.
- Topic
- Planning & projects
- Type
- Prompt
- Level
- Beginner
- Time
- about 15 min
Results depend on the tool, the model and what you enter.
Result preview
Example: written by our editors, not real AI output.
Failure story: the new shop goes live six weeks late, payment fails on the first weekend. | Cause | Likelihood | Impact | | Payment provider contract signed late | 3 | 3 | | Product data incomplete | 2 | 3 | Warning sign: contract not signed four weeks before launch Measure this week: request contract draft (role: owner)
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- launch of a new website
- move to new software
- opening a second location
- a product launch
- an internal reorganisation
- three people in a small business
- a department with an outside agency
- a cross-team project group
- a freelancer with one client
- volunteers in an association
- the deadline is tight
- the budget is unclear
- key people are often absent
- nobody owns the decision
- customers might not accept it
Your prompt
You have edited the prompt. Changes in the fields above no longer overwrite it.
This is an instruction for an AI, not the result itself.
Where this prompt works
These AI tools are a good fit for this prompt:
How to use it
- Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
- Copy the finished prompt into an AI tool of your choice.
- Let everyone write down their own causes first and only then compare them with the AI's list; the most useful risks are often the ones only one person sees.
Why does this work?
When asked what could go wrong, people hold back. Assuming the failure has already happened makes uncomfortable causes easier to name and turns them into measures before money is spent.
Tips
- Describe people by role, not by name, especially when a risk is about workload or conflict.