multi-perspective-panel

Productivity

Strategy: Multi-stakeholder review panel — diverse expert perspectives evaluate artifact simultaneously, then synthesize through structured deliberation.

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Multi-Perspective Panel Strategy

Diverse expert panel evaluates artifact from multiple stakeholder viewpoints.

Method

debate-architect selects relevant perspectives based on artifact domain
Each perspective-critic evaluates from assigned stakeholder viewpoint
divergence-detection maps agreement/disagreement landscape
Panel deliberation: agents respond to each other's concerns
confidence-calibration determines if consensus reached or irreconcilable

Budget Table

Parameter	S	M	L
Debate rounds	4	8	12
Participating agents	3	5	8
Coverage dimensions	3	5	7
External evidence searches	2	5	10

Orchestration

debate-architect → [select panel perspectives]
→ [parallel]: perspective-critic × N (independent evaluation)
→ divergence-detection (map landscape)
→ [deliberation rounds]:
    perspective-critic responds to disagreements
    → divergence-detection → confidence-calibration
→ debate-transcript-analysis → verdict-synthesis

Subagents

debate-architect (panel composition)
perspective-critic × N (stakeholder evaluation)
divergence-detection (agreement mapping)
confidence-calibration (consensus detection)

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
stress-test-perspective-rotation	Tactic: Sequential perspective evaluation with divergence aggregation. Each agent evaluates from a distinct viewpoint, then disagreements are surfaced and resolved.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
confidence-calibration	Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence.
debate-architect	Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters.
divergence-detection	Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.
perspective-critic	Evaluates artifact from a specific assigned perspective. Produces assessment grounded in that viewpoint's values, priorities, and expertise.