structured-consensus

Productivity

Structured Consensus Campaign — converge multiple perspectives into shared agreement through iterative structured dialogue using Delphi variants, NGT, RAND/UCLA, Consensus Conference methods.

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Structured Consensus

Converge multiple independent perspectives into shared agreement through iterative structured dialogue. This campaign orchestrates Delphi variants, Nominal Group Technique, RAND/UCLA Appropriateness Method, and Consensus Conference protocols to systematically reduce disagreement while preserving legitimate dissent.

Strategy Routing

Signal	Strategy
Iterative convergence to single answer / establish guidelines / determine threshold	convergence-distillation
Map disagreement structure / wicked problems / value conflicts	disagreement-cartography
Aggregate probability judgments / technology timeline / market forecast	futures-calibration
Establish acceptability standards / medical guidelines / regulatory standards	appropriateness-bounding
Distill strongest arguments / policy deliberation / interdisciplinary dispute	argument-crystallization

Manifest

Strategies

Strategy	Method Family	Purpose
convergence-distillation	Classic Delphi, Modified Delphi, NGT	Iterative convergence to single answer
disagreement-cartography	Policy Delphi, Argument Delphi, SAST	Map disagreement structure
futures-calibration	Real-Time Delphi, Prediction Markets	Aggregate probability judgments
appropriateness-bounding	RAND/UCLA Appropriateness, Consensus Conference	Establish acceptability standards
argument-crystallization	Argument Delphi, Dialectical Delphi	Distill strongest arguments

Tactics

Tactic	Purpose	SOPs
iterative-convergence-round	Collect → feedback → revise → check → decide	judgment-collection, feedback-distribution, consensus-measurement, round-decision
disagreement-mapping	Collect → cluster → extract arguments → visualize	judgment-collection, cluster-analysis, argument-extraction, disagreement-visualization
threshold-calibration	Adjust thresholds → observe consensus changes	threshold-sweep, consensus-classification, consensus-measurement

SOPs

SOP	Input	Output
judgment-collection	question, perspectives[]	judgments[]
feedback-distribution	judgments[], round_n	feedback_report
consensus-measurement	judgments[]	consensus_score, method_used
round-decision	consensus_score, round_n, stability	continue/stop
cluster-analysis	judgments[]	clusters[], cluster_characterization[]
argument-extraction	cluster, judgments[]	arguments[]
disagreement-visualization	clusters[], arguments[]	disagreement_map
threshold-sweep	judgments[], threshold_range	threshold_curve
consensus-classification	judgments[], threshold	consensus_items[], dissensus_items[]
consensus-synthesis	rounds_history, final_judgments	consensus_report

Budget Table (M Tier)

Parameter	Constraint
Perspectives/experts	>=4 independent perspectives
Iteration rounds	2-4 rounds (until consensus threshold or stability)
Consensus threshold	>=70% agreement or IQR <= 1
Dissent documentation	All non-consensus items must document reasons

MCP Tools

mcp__semantic-scholar__relevanceSearch — find methodological references
mcp__wiki-vault__vault_search — retrieve prior consensus results from vault

Context Management

Each round's judgments are stored in state and passed forward
Feedback reports summarize prior round without exposing individual identities
Final synthesis aggregates all rounds into a single consensus report
Non-consensus items are explicitly documented with dissent rationale

Available Strategies

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

Strategy	When to use
appropriateness-bounding	Establish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.
argument-crystallization	Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.
convergence-distillation	Iterative convergence to a single answer through Classic Delphi, Modified Delphi, or Nominal Group Technique rounds.
disagreement-cartography	Map the structure of disagreement across perspectives using Policy Delphi, Argument Delphi, or SAST methods.
futures-calibration	Aggregate probability judgments across perspectives using Real-Time Delphi or prediction market mechanisms.

Available SOPs

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

SOP	When to use
context-checkpoint	Append research process and results to the current Phase's context file. Each append MUST contain >=500 lines of markdown covering both process and results. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
context-init	Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.
convergence-multi-stakeholder-simulation	Simulates diverse stakeholder perspectives and their strongest objections/support arguments. Shared across steel-manning and consensus campaigns.
convergence-saturation-detection	Determines when to stop iterating — coverage threshold met or marginal returns diminishing. Shared across all campaigns.

Available Campaigns

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

Campaign	When to use
convergence-multi-criteria-scoring	Multi-Criteria Scoring Campaign — evaluate and rank candidates against multiple weighted criteria using AHP, BWM, TOPSIS, VIKOR, ELECTRE, PROMETHEE, MAUT methods.