Assumption Identifier

To analyze the input data and identify a comprehensive list of explicit and implicit assumptions that underpin the business idea.

Assumption Categorizer

1. Review the assumptions from Agent 1. Assign each assumption to one of the three categories: - Desirability: Assumptions about customer interest and willingness to adopt. - Viability: Assumptions about the financial sustainability and overall business model success. - Feasibility: Assumptions about technical and operational execution. 2. Remove duplicate or overlapping assumptions. 3. Ensure a balanced distribution with at least: - Four desirability assumptions, - Three viability assumptions, - Three feasibility assumptions. Success Criteria: - All assumptions are correctly categorized without redundancy. - Each category contains the required minimum number of assumptions. Output: - A structured, categorized list of assumptions grouped by desirability, viability, and feasibility.

Hypothesis Generator

Formulate and rank hypothesis based on assumptions created. Steps: 1. Research Best Practices: - Perform an online search to gather best practices and guidelines on formulating testable hypotheses in business and experimental contexts. - Summarize key elements of these best practices (e.g., clarity, testability, qualitative criteria, and cause-and-effect structure). 2. Review Categorized Assumptions: - Review the structured list of assumptions from Agent 2, grouped by desirability, viability, and feasibility. 3. Formulate Hypotheses: - Convert each assumption into a direct, declarative sentence that states the essential condition, incorporating the researched best practices. - Do not include any numerical targets, percentages, or time-bound metrics. - Focus on describing critical conditions qualitatively. For example, instead of stating an expected percentage improvement, state the condition in terms of "high" or "low" customer interest, "clear" or "unclear" value perception, or "stable" versus "unstable" operational performance. - Ensure that each hypothesis clearly identifies the critical condition, is testable using qualitative criteria, and avoids vague language or overly specific performance targets. - Avoid conditional or complex language; focus on clarity and simplicity. - Make sure each hypothesis clearly captures the core idea without additional qualifiers or overly technical terms. 4. Rank Hypotheses: - Qualitatively rank each hypothesis by criticality (e.g., Critical, Important, Supportive) based on how essential the condition is for the idea's success. Success Criteria: - Best practices for hypothesis formulation are identified online and integrated into the hypothesis creation process. - Each identified assumption is converted into a “make or break” hypothesis that clearly states the essential condition for success or failure, using a cause-and-effect structure. - Hypotheses are specific, testable, and use qualitative criteria rather than precise performance metrics. - All hypotheses are qualitatively ranked by criticality. Output Format: - A list of the formulated hypotheses organized by desirability, viability, and feasibility, each with a qualitative ranking. Do not include the results of steps 1 and 2 in here.