Executive Summary

Many teams and individual knowledge workers—estimated at 300 million worldwide—spend hours turning fuzzy prose, meeting fragments, and gut instincts into decisions, but rarely produce auditable, revisitable rationale; the result is repeated debates, hidden trade-offs, and poor downstream execution. This problem is acute in distributed, asynchronous organizations and regulated industries where a clear trail of why a decision was made is as valuable as the decision itself. You could build a guided, iterative decision platform that transforms free-text inputs into structured decision graphs: it would use LLMs to interrogate assumptions, enumerate options and trade-offs, link related knowledge nodes, and produce exportable audit trails and checkpoints for later review. The market looks attractive now—we estimate a $120.0B total addressable market (300M knowledge workers × $400/year) and give a market score of 90/100 and revenue potential of 88/100—because AI-assisted reasoning, distributed work, and rising PKM/knowledge-graph adoption are converging to create demand for exactly this capability. To stand out you should combine three practical differentiators: rigorous human-in-the-loop workflows that limit hallucination, deep integrations with existing PKM and collaboration tools so decision graphs become part of people’s flow, and enterprise controls for compliance and auditability. The strengths are clear—measurable time saved, reduced rework, and defensible records of intent—but challenges include driving behavioral change, ensuring model accuracy, and competing against medium-level competition from notes/whiteboard vendors and emerging AI assistants.

Market Opportunity

Turn fuzzy ideas into auditable decisions — guided, iterative thinking targets a $120.0B = 300M knowledge workers x $400/year (average spend on productivity & decision-support tools) total addressable market with medium saturation and a year-over-year growth rate of 12% (productivity & collaboration SaaS market growth estimate).

Key trends driving demand: AI-assisted reasoning -- LLMs can now interrogate and structure inputs, turning fuzzy prose into explicit trade-offs and options.; Distributed work -- async decision-making demands auditable trails and clear rationale across time zones and teams.; Knowledge graphs & PKM adoption -- organizations increasingly rely on connected knowledge to avoid repeated debates; decision graphs are the next logical layer.; Governance & compliance focus -- companies need reproducible decision trails for audits, M&A, and regulatory scrutiny, increasing demand for structured records..

Key competitors include Notion, Roam Research, Kialo, Ayoa / MindMeister (mind-mapping & collaborative ideation), Decision Lens / D-Sight (enterprise decision & prioritization platforms).

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Turn fuzzy ideas into auditable decisions — guided, iterative thinking

Executive Summary

Market Validation

Market Opportunity

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