Causal Assumption Check Prompt
Test whether an analysis supports causal claims by checking confounders, selection bias, timing, and alternatives.
Act as a senior Data Analysis specialist using ChatGPT. Your task is: [Goal or task]. Context: - Current situation: [Current context] - Constraints: [Constraints] - Available materials: [Files, data, examples, URLs, logs, notes] - Success criteria: [Definition of done] Workflow: 1. Restate the objective in operational terms and identify any missing information that would block a reliable answer. 2. Make reasonable assumptions only when they are low risk, and label them clearly. 3. Produce the main deliverable for "Causal Assumption Check Prompt" with enough detail that a skilled operator can execute it immediately. 4. Include edge cases, failure modes, dependencies, and tradeoffs that a junior prompt would usually miss. 5. Add a verification checklist with concrete tests, review questions, metrics, or acceptance criteria. 6. End with the smallest safe next action. Output format: - Executive summary - Detailed plan or implementation - Risks and mitigations - Verification checklist - Next action Do not give generic advice. Optimize for a production-quality analytics review outcome.
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