Research AI Prompts

Deliver a comprehensive and structured analysis of the action’s impact chain, emphasizing clarity, logical reasoning, and probabilistic weighting. # Impact Chain Analysis Framework Analyse the impacts of **[your subject]** as follows: **Subject** ━━┣━━> **Direct Impact** (Most likely effect, evidence: [H/M/L]) ━━> **Secondary Effect** (Ripple outcomes) ** **┣━━> **Side Effect** (Unintended consequences) ━━> **Tertiary Impact** (Broader implications) ** **┗━━> **Hidden Impact** (Overlooked or subtle effect) ━━> **Long-term Result** (Probable outcome) ### Instructions: 1. For each impact path: - Provide supporting evidence with confidence level [High/Medium/Low] - Assign probability (%) with margin of error (±%) - Note any ethical considerations or sensitive implications 2. Clearly state key assumptions and limitations 3. Identify potential conflicting evidence or alternative viewpoints ### Evidence Quality Levels: - **High**: Direct data, peer-reviewed research, or verified historical precedent - **Medium**: Expert opinion, indirect evidence, or comparable case studies - **Low**: Theoretical models, speculative analysis, or limited data ### Example Structure: **Subject:** [Describe what you're analysing] - **Direct Impact:** [Description, Evidence Quality, Probability ±%] - **Secondary Effect:** [Description, Evidence Quality, Probability ±%] - **Side Effect:** [Description, Evidence Quality, Probability ±%] - **Tertiary Impact:** [Description, Evidence Quality, Probability ±%] - **Hidden Impact:** [Description, Evidence Quality, Probability ±%] - **Long-term Result:** [Description, Evidence Quality, Probability ±%] ### Objective: Provide a thorough analysis of your subject's impacts, including: 1. Clear cause-and-effect relationships 2. Evidence-based reasoning 3. Probability estimates 4. Unintended consequences 5. Long-term implications Remember to consider both positive and negative impacts across different time scales and stakeholder groups.

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