Which technique challenges fixed mental models by considering low-probability events?

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Multiple Choice

Which technique challenges fixed mental models by considering low-probability events?

Explanation:
What If? Analysis centers on stress-testing assumptions by exploring unlikely but plausible scenarios. It asks you to step outside the base case and puzzle through questions like: what if a key variable shifts unexpectedly, what if an important data source is unreliable, or what if a disruptive event occurs? By deliberately expanding the scenario space to include low-probability, high-impact events, you reveal gaps in your model, biases in your thinking, and where a plan or forecast might break down. This approach helps build resilience and robustness because decisions are evaluated not just against the most likely path but across a range of potential futures. Other techniques serve related purposes but in different ways. Premortem analysis imagines a future failure and works backward to identify causes, which is valuable for understanding failure modes but isn’t as focused on proactively testing unlikely futures. Adversarial collaboration brings in opposing viewpoints to challenge assumptions, helping to counter bias but not necessarily emphasizing the systematic generation of unlikely scenarios. Quadrant crunching involves organizing information into a probability–impact grid to prioritize issues, which aids prioritization but doesn’t inherently drive you to explore low-probability events as a core activity.

What If? Analysis centers on stress-testing assumptions by exploring unlikely but plausible scenarios. It asks you to step outside the base case and puzzle through questions like: what if a key variable shifts unexpectedly, what if an important data source is unreliable, or what if a disruptive event occurs? By deliberately expanding the scenario space to include low-probability, high-impact events, you reveal gaps in your model, biases in your thinking, and where a plan or forecast might break down. This approach helps build resilience and robustness because decisions are evaluated not just against the most likely path but across a range of potential futures.

Other techniques serve related purposes but in different ways. Premortem analysis imagines a future failure and works backward to identify causes, which is valuable for understanding failure modes but isn’t as focused on proactively testing unlikely futures. Adversarial collaboration brings in opposing viewpoints to challenge assumptions, helping to counter bias but not necessarily emphasizing the systematic generation of unlikely scenarios. Quadrant crunching involves organizing information into a probability–impact grid to prioritize issues, which aids prioritization but doesn’t inherently drive you to explore low-probability events as a core activity.

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