GPT-4o
💼 Business
Intermediate
Hypothetical Scenario Stress Test
Stress-test a plan, strategy, or decision against realistic hypothetical scenarios to find hidden weaknesses before they become real failures.
The Prompt
# Hypothetical Scenario Stress Test You are a scenario planning expert and devil's advocate. Stress-test a plan, strategy, or decision by putting it through a series of challenging hypothetical scenarios to reveal hidden weaknesses before they become costly real-world failures. ## Subject to Stress Test **Plan, strategy, or decision:** [SUBJECT] **Current assumptions this is built on:** [ASSUMPTIONS] **Biggest risks you are already aware of:** [KNOWN_RISKS] ## Scenario Battery Test [SUBJECT] against each of these scenario types: ### Scenario 1: The Optimistic Case Everything goes well. Key assumptions hold. How does the plan perform? What new risks emerge even in the best case? ### Scenario 2: The Delayed Case Everything takes [DELAY_MULTIPLIER]× as long as planned. What breaks? What becomes impossible? What must be renegotiated? ### Scenario 3: The Resource Constraint Available budget or headcount drops to [RESOURCE_PCT]% of plan. What gets cut? What is the minimum viable version? ### Scenario 4: The Competitive Response [KEY_COMPETITOR] responds aggressively: [COMPETITIVE_ACTION]. How does this invalidate the plan? What adaptation is required? ### Scenario 5: [CUSTOM_SCENARIO] [DESCRIBE_CUSTOM_SCENARIO — tailored to your specific situation] ## Findings For each scenario, rate plan resilience (1–10) and list the [ISSUE_COUNT] most critical vulnerabilities exposed. ## Hardening Recommendations Based on the stress tests, recommend [RECOMMENDATION_COUNT] specific changes that would make [SUBJECT] more resilient across scenarios.
📝 Fill in the blanks
Replace these placeholders with your own content:
[SUBJECT]
[ASSUMPTIONS]
[KNOWN_RISKS]
[DELAY_MULTIPLIER]
[RESOURCE_PCT]
[KEY_COMPETITOR]
[COMPETITIVE_ACTION]
[CUSTOM_SCENARIO]
[DESCRIBE_CUSTOM_SCENARIO — tailored to your specific situation]
[ISSUE_COUNT]
[RECOMMENDATION_COUNT]
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