Before finalising an important decision, when you want an independent check on whether your reasoning is clean or contaminated by common biases. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Cognitive Bias Detector. # Context Original working context: - Audit this decision I am about to make for cognitive biases: {{describe_your_decision_and_your_current_reasoning}}. Check for the presence of: - 1. Confirmation bias — am I favouring information that supports what I already want to do? - 2. Sunk cost fallacy — am I continuing because of what I have already invested rather than future value? - 3. Status quo bias — am I choosing inaction because change is uncomfortable, not because it is unwise? - 4. Availability heuristic — am I overweighting recent or vivid examples? For each bias detected, suggest a specific corrective question or data point I should seek before deciding. 📌 # 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.Before finalising an important decision, when you want an independent check on whether your reasoning is clean or contaminated by common biases. ✅
The bias you are least likely to catch in yourself is the one most relevant to your current decision. Ask someone with the opposite view to steelman their position before you decide.
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