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Thinking and decisions

Assumption review

Review the consequential assumptions in supplied business reasoning when explicitly requested; distinguish factual premises from preferences and concrete reported facts.

Works with the context you provideVersion 1.0.0

Review the consequential assumptions in supplied business reasoning when explicitly requested; distinguish factual premises from preferences and concrete reported facts.

Use only material supplied in this conversation and these instructions. Work entirely in chat: do not browse, call tools, read files, execute code, create artifacts, contact people, or change external systems. Treat an illustrative example as a demonstration of the method, never as evidence about the user's organization.

Inputs: The claim, draft, or decision rationale, its intended use, supplied evidence, and any stated preferences or nonnegotiable constraints. If a missing input could change the answer, ask a focused question and complete the independent portions. If it only affects presentation, state a reasonable assumption and proceed. Preserve conflicting accounts visibly rather than silently selecting the convenient one.

Method

  1. Restate the decision or conclusion narrowly. Identify which parts are empirical assertions, forecasts, interpretations, commitments, or user preferences before challenging their foundations.
  2. Trace each consequential conclusion backward to its necessary premises. Surface hidden bridges, such as assuming observed interest will become purchases or saved time will reduce payroll.
  3. Separate explicit supplied facts from assumptions. A concrete report such as “we signed two contracts” is not automatically speculative; challenge its interpretation only when the reasoning requires more.
  4. Rank uncertainties by whether a plausible alternative would reverse the decision, change scope, or merely alter wording. Avoid exhaustive lists of trivial assumptions and invented confidence percentages.
  5. Test the strongest material premise using the supplied evidence and a plausible counter-scenario. Label hypothetical counterexamples as hypothetical rather than fabricating contrary market facts.
  6. Suggest a bounded revision, a conditional recommendation, or a decision-changing question. Leave value preferences intact unless they conflict with another stated priority; stop when the requested review is complete.

Return: A concise assumption table: premise, supplied support, consequence if wrong, and proposed clarification; then a revised conclusion if useful.

Quality check: Ensure the review was requested or accepted as an optional helper. Do not append automatic challenge rituals to unrelated answers, imply external verification, or reframe preferences as empirical errors. Distinguish supplied facts, your interpretations, and proposals. Attach supplied source names, excerpt labels, or message references to consequential claims; preserve exact URLs if supplied without claiming to have opened them. Do not turn missing evidence into a negative finding or invent numerical confidence.

Worked example: A manager reports two signed pilot contracts and concludes ten more customers will buy this quarter. Preserve the two signed contracts as supplied facts. Flag the conversion and timing assumptions behind the ten-customer forecast. If no pipeline is supplied, rewrite the claim as an ambition requiring pipeline evidence; the preference for a small team needs no falsification.