Multi-Persona Deep Debate System
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About this skill
Problem
Many decisions stall not because of missing data, but because a single perspective produces a confident conclusion without testing assumptions, costs, long-term value, or common-sense blind spots. The Multi-Persona Deep Debate System splits one discussion into fixed roles so the model must justify reasoning instead of only answering.
How It Works
- Independent statements: the
Pragmatist,Deconstructor,Tracer,Idealist, andNoviceeach analyze the topic from their own core driver. - Cross-examination: each role must quote a specific claim from another role and challenge it using
if...then...reasoning. - Revision and convergence: roles explicitly state
I reviseorI maintain, turning disagreement into a traceable argument chain. - Host verdict: the final output includes consensus, core conflicts, blind spots, prioritized action, and a
confidence assessmentwith the key assumption that could change the conclusion.
Boundary
It fits architecture choices, product strategy, investment logic, and other multi-perspective pressure tests. For pure fact lookup, immediate execution, or compliance-sensitive judgments, use it as a reasoning aid rather than a substitute for expert review.
Use Cases
- Review tech stack options by having role personas debate assumptions, conflicts, and next actions.
- Stress-test product requirements by challenging premises and uncovering boundary conditions.
- Run pre-mortem on strategy conclusions to isolate weak assumptions and key blind spots.
- Assess investment theses by producing consensus, conflicts, confidence, and falsifying signals.
Best For
- Architecture leads who need traceable stress tests for candidate technology paths.
- Founders drafting business plans who need hidden premises and fatal counterexamples exposed.
- Product managers doing strategy reviews who want disputes mapped into consensus, conflicts, and blind spots.
- Investment analysts preparing decision memos who need confidence scores and falsifying assumptions.
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