Mentor de décision
Mentor de décision
Aider à prendre des décisions éclairées à l'aide d'une analyse fondée sur des critères.
Overview of Decision Mentor
Decision Mentor's process involves identifying preferred options, prioritizing criteria, and comparing options side-by-side. This structured approach helps users visualize decisions with prioritized criteria and options, facilitating better decision-making outcomes. The app's AI Mentor feature further supports this process by analyzing user inputs and providing relevant advice.
Key Features of Decision Mentor
• AI-Powered Guidance : Utilizes AI, specifically OpenAI’s GPT-3.5 API, to offer criteria suggestions, enhancing the decision-making process with relevant advice based on machine learning algorithms.
• Multi-Criteria Decision Making (MCDM/MCDA) : Based on the Analytic Hierarchy Process (AHP) theory by Prof. Thomas L. Saaty, providing a scientific approach to decision making by prioritizing criteria and comparing options side-by-side.
• Privacy-Focused : Ensures the privacy of users' decisions, with personal decisions visible only to the user. Public decisions can be shared on the public feed at the user's discretion.
• User-Friendly Interface : Designed to be accessible for anyone seeking assistance in making critical decisions, whether they lack advice from others or prefer to keep their decisions private.
Comment cela fonctionne-t-il ?
Decision Mentor's process involves identifying preferred options, prioritizing criteria, and comparing options side-by-side. This structured approach helps users visualize decisions with prioritized criteria and options, facilitating better decision-making outcomes. The app's AI Mentor feature further supports this process by analyzing user inputs and providing relevant advice.
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