593건 · 관련도순
Document why you own a stock, the assumptions behind the purchase, and conditions for reconsidering it. Review these against quarterly earnings and major events, score the investment rationale's health, and outline whether to hold, add, trim, or exit.
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Model trading costs and execution assumptions in backtests, including slippage, the gap between expected and simulated fill prices. Compare price impact, fees, execution delays, and order splitting to assess how assumptions affect strategy results.
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Explore product problems, generate alternative solutions, and challenge the assumptions behind an idea through conversation. It helps product managers compare directions, identify weak points, and choose questions or experiments to investigate before committing to development.
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Build market research evidence by comparing two market-size estimates, calculating survey sample sizes for each customer group, and scoring potential segments. Outputs show methods and assumptions so teams can assess the basis for business decisions.
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Examine a plan by imagining it has failed twelve months later. Identify weak assumptions, linked dependencies, and commitments that are hard to reverse, then outline validation steps and criteria for continuing, changing direction, or stopping.
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Examine business assumptions behind revenue forecasts, market estimates, or hiring plans. Identify counter-evidence, model worse outcomes, assess how changes affect results, and propose validation steps, backup plans, and early warning indicators.
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Evaluate product ideas before committing development resources. Organize customer needs, rank uncertain assumptions, and plan interviews or prototype tests in a short discovery cycle that ends with evidence for proceeding, changing direction, or stopping.
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Review mathematical proofs in LaTeX for logical gaps, missing assumptions, and unjustified steps. Attempt counterexamples, develop explicit repairs, and repeat the review, producing an audit report that distinguishes completed fixes from assumptions and unresolved proof obligations.
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Develop mathematical proofs for machine learning and AI theory by checking assumptions, intermediate results, and edge cases. Produce a complete proof, a corrected claim with its proof, or a report explaining the unresolved gap.
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Record why a stock was purchased, turn that reasoning into testable assumptions, and define conditions for reassessment. Check new earnings and major events against those assumptions, update valuations, and maintain a history of suggested holding decisions.
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Review consequential or ambiguous decisions through ten stages of structured reflection. Separate observations from assumptions, examine alternatives and risks, and produce a recommendation supported by evidence, with verification needs and conditions for revisiting the decision.
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Examine plans, proposals, and decisions by questioning assumptions, building opposing arguments, anticipating failures, or checking evidence. Presents three to five concrete challenges, then uses your responses to develop a stronger position and practical next steps.
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Build an initial customer profile from existing research, market data, and team knowledge. Organize behaviors, frustrations, goals, and buying influences into a shared working hypothesis, with assumptions clearly marked for later validation.
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Compare a previous PESTEL analysis of political, economic, social, technological, environmental, and legal factors with current evidence. Identify meaningful changes and broken assumptions, then summarize their implications for strategy and product plans with sources.
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Work through eight canvas sections to clarify a business problem, target users, desired outcomes, and possible solutions. Turn assumptions into testable hypotheses and choose the smallest experiment to investigate the most important uncertainty before development.
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Extract and risk-rate hidden assumptions in a product brief or PRD. Use when asked to review a product brief for assumptions, audit a PRD for risks, find hidden assumptions, validate product plans, or run an assumption analysis. Produces a prioritised assumption map with confidence and impact scores, recommended validation methods, and critical assumption flags.
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Surface the hidden assumptions a plan or belief rests on, then test what happens when each one is wrong. Use when asked what am I assuming here, check my assumptions, what if I'm wrong about, or stress-test my thinking. Produces the unstated assumptions your conclusion depends on (ranked by how load-bearing they are), a flip of each to see which one breaking would change everything, and the cheapest way to check the riskiest ones — because the assumption you didn't know you were making is what sinks plans.
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Use when a framed and root-caused problem needs its assumptions made explicit before design or planning begins — explicit Assumptions, Unknowns, and a Validation plan. This should trigger when an issue's Assumption Analysis point of view needs evaluation, or when a maintainer directly asks to surface hidden assumptions and unknowns before committing to an approach. Part of Plinth Toolkit
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Grounded in first principles, rigorously examine and refine a user's plan, task, decision, goal, strategy, proposal, or idea through structured, progressively deeper questioning, in order to bridge the gap between the User and the Agent. Use when the user explicitly requests grilling, challenge, pressure-testing, cross-examination, red-team review, pre-mortem analysis, or a decision audit. The goal is to uncover unclear objectives, hidden assumptions, contradictions, weak evidence, missing information, overlooked constraints, dependencies, risks, trade-offs, failure modes, and misalignment between intended outcomes and likely real-world results. Begin by establishing a shared understanding of the user's actual intent, goals, constraints, and success criteria. Ask focused, high-leverage questions rather than broad or repetitive ones. Adapt each question based on previous answers, probing deeper where uncertainty, unsupported assumptions, or strategic weaknesses remain. Regularly summarize the current understanding of the user's intent and position to confirm alignment, expose misunderstandings, and refine the problem or goal definition. Distinguish facts, assumptions, hypotheses, and unknowns. Challenge reasoning rigorously while remaining constructive, respectful, and solution-oriented. Continue until the reasoning is internally coherent, evidence-aware, constraint-conscious, risk-assessed, and translated into a clearer, more actionable goal, decision, or plan. Ultimately, achieving the super-alignment.
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Use when surfacing the assumptions underlying an analytical judgment, the user asks "what are we assuming?" / "are these assumptions still valid?", or before publishing a high-impact assessment. Standard SAT applied during major assessments.
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Ensure design docs explicitly capture risks, assumptions, and open questions with owners, deadlines, and mitigation plans.
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질문으로 계획과 아이디어를 검토하고 결정 간 의존 관계를 정리합니다. 권장 답변을 담은 질문을 단계적으로 제시해 모호한 전제와 미결 사항을 확인하고 공통 이해를 쌓습니다.
Create financial Excel workbooks with Python, using formulas, color-coded inputs, source comments, and consistency checks. Build models that reviewers can trace and users can adjust by changing assumptions.
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Build an Excel workbook for discounted cash flow valuation, which estimates company value from future cash flows. Include revenue forecasts, cash flow calculations, scenario comparisons, and tables showing how changing assumptions affects the estimated share value.
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