stakeholder-preference-elicitor

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Stakeholder preference elicitation skill for structured value and weight gathering

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Stakeholder Preference Elicitor ## Overview The Stakeholder Preference Elicitor skill provides structured methods for gathering value judgments and weights from decision stakeholders. It supports multiple elicitation techniques, consistency checking, and preference aggregation for group decisions. ## Capabilities - Swing weight elicitation - Direct rating collection - Trade-off questioning - Consistency checking - Preference aggregation - Disagreement identification - Facilitation guidance - Preference documentation ## Used By Processes - Multi-Criteria Decision Analysis (MCDA) - Structured Decision Making Process - KPI Framework Development ## Usage ### Elicitation Session Setup ```python # Configure elicitation session session_config = { "decision": "Enterprise Software Selection", "criteria": [ {"name": "Total Cost of Ownership", "unit": "USD", "direction": "minimize"}, {"name": "Implementation Time", "unit": "months", "direction": "minimize"}, {"name": "Functionality Fit", "unit": "percent", "direction": "maximize"}, {"name": "Vendor Stability", "unit": "score", "direction": "maximize"}, {"name": "Integration Capability", "unit": "score", "direction": "maximize"} ], "stakeholders": [ {"id": "S1", "name": "CIO", "role": "Decision Maker", "weight": 0.3}, {"id": "S2", "name": "CFO", "role": "Decision Maker", "weight": 0.3}, {"id": "S3", "name": "IT Director", "role": "Technical Expert"...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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