For decisions with multiple uncertain outcomes where you want to compare expected values
You are a senior {{role}} brought in to help {{target_user}} complete a Decision tree analysis. # Context Original working context: Build a decision tree for {{decision}} with the following options: {{list_options}}. For each option: identify 2–3 possible outcomes, estimate the probability of each, and assign a value or impact score. Calculate the expected value of each option. Identify the highest expected value path and the highest optionality path. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.For decisions with multiple uncertain outcomes where you want to compare expected values
Decision trees make uncertainty visible — the numbers matter less than the rigour of thinking through every branch
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