Decisionmentor

Decision Mentor is a decision-support app built on Multi-Criteria Decision Making theory, specifically the Analytic Hierarchy Process (AHP) developed by Thomas L. Saaty. Rather than asking a chatbot for a single opinion, it walks users through a structured process: define the decision, list the options being weighed, set the criteria that matter, prioritize those criteria, and let the app calculate which option best fits the weighted inputs. An AI Mentor feature, powered by OpenAI's GPT-3.5 API, assists by suggesting relevant criteria during setup, though the ranking itself is driven by the AHP framework rather than open-ended AI reasoning. The app is aimed at individuals facing a difficult choice with no one available to talk it through, as well as teams or organizations that want a repeatable, criteria-based method for group decisions. Public examples shared by users span career choices, degree selection, business decisions like catering versus running a restaurant, household purchases such as microwaves versus ovens, and financial calls like saving versus investing. This suggests the tool is used broadly for both personal and professional judgment calls rather than one narrow use case. In practice, a decision can be kept private or shared publicly. Private decisions are not stored in the cloud and remain visible only to the user who created them, including being inaccessible to the Decision Mentor team. Public decisions appear in a community feed organized loosely by category — education, lifestyle, finance, technology, business — where other users can browse real examples and like them. The app is available as a web app currently in beta, plus native iOS and Android apps. Decision Mentor sits between casual "ask an AI for advice" tools and heavier professional decision-analysis software used in consulting or research settings. Its appeal is a lightweight, academically grounded method that structures a choice into weighted criteria and comparable options without requiring users to learn dedicated MCDA software. Buyers evaluating alternatives should note it is a single-purpose decision framework rather than a general productivity or planning app, and its value depends on users being willing to define and weigh criteria rather than simply requesting a recommendation.