Life Compass : AI-Support Decision Making Assistant
Turhan, Elif (2026)
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604025570
https://urn.fi/URN:NBN:fi:amk-202604025570
Tiivistelmä
This bachelor’s thesis outlines the design, development, and evaluation process of a new web application called Life Compass, which is designed to aid individuals in dealing with complicated decisions in their lives with the aid of Artificial Intelligence. The application was created because of a gap in current decision-making aids. Current software in multi-criteria decision analysis is too technologically complicated for regular use, while current chatbots, which are also powered by Artificial Intelligence, do not have a systematic approach in aiding individuals in making decisions.
Life Compass is designed to bridge this gap by applying the main concepts in multi-criteria decision analysis in a more accessible six-step process. The application was also designed with security in mind by using a serverless architecture. The application was also designed with usability in mind. The usability testing involved six participants from the target demographic group: university students and young professionals. Most participants found the process logical, trusted the result of the AI analysis, and felt more confident in their decision-making a result after using the tool. Compared to their past experiences with other AI chatbots, participants appreciated the structured approach of the tool and the consideration of both rational and emotional factors in the decision-making process.
The case shows that analytical rigor and accessibility are not exclusive concepts. By preserving the essential benefits of MCDA while removing its technical hurdles, Life Compass makes sophisticated decision support tools available to ordinary users who face important decisions in their lives.
Life Compass is designed to bridge this gap by applying the main concepts in multi-criteria decision analysis in a more accessible six-step process. The application was also designed with security in mind by using a serverless architecture. The application was also designed with usability in mind. The usability testing involved six participants from the target demographic group: university students and young professionals. Most participants found the process logical, trusted the result of the AI analysis, and felt more confident in their decision-making a result after using the tool. Compared to their past experiences with other AI chatbots, participants appreciated the structured approach of the tool and the consideration of both rational and emotional factors in the decision-making process.
The case shows that analytical rigor and accessibility are not exclusive concepts. By preserving the essential benefits of MCDA while removing its technical hurdles, Life Compass makes sophisticated decision support tools available to ordinary users who face important decisions in their lives.