daBongo LMS AI Training Courses

Lesson Content

The evidence-based pre-mortem.

Standard pre-mortem asks: "Imagine the plan failed – why?" Perplexity enhances this by researching: "What does real-world evidence show actually causes plans like ours to fail?"

"Research common failure modes for [type of project/plan/initiative]. I am planning to [describe plan]. What do case studies, post-mortems, and research show about why similar initiatives typically fail? What are the most common early warning signals of these failure modes?"

Failure frequency vs. failure severity.

Useful pre-mortem analysis distinguishes:

• Common but recoverable failures (high frequency, low severity – need monitoring)
• Rare but catastrophic failures (low frequency, high severity – need contingency)
• High-frequency, high-severity failures (the most urgent mitigation targets)

"For each failure mode you identified: estimate how common this is in similar initiatives, and how severe the consequences are when it occurs."

Real-world mitigation evidence.

"For the [top two or three] failure modes, what does evidence show about effective mitigation? What do organizations that successfully navigated these risks do differently?"

Using failure research without paralysis.

Pre-mortem failure research is designed to improve your plan – not prove it is doomed. The productive use of failure data:

• Identify the one or two most critical risks and build specific mitigations
• Recognize early warning signs so you can course-correct
• Make a more informed go/no-go decision with eyes open

Abandoning a good plan because risks exist is not the goal – taking risks seriously enough to plan for them is.