Swapping Udemy's filters for a short diagnostic conversation that works out what a learner actually needs
Thousands of Udemy courses and no reliable way to tell which one fits. Filters sort by rating, duration and topic, none of which understand a learner's intent, prior knowledge, or how fast they want to move. Learners stall between search and enrolment, land in courses pitched at the wrong level, and finish fewer of them.
The AI Skill Evaluator replaces filtering with a brief diagnostic exchange, and the questions change depending on where it is met. On the homepage it explores broadly, asking about interest areas and general experience. On a search results page it goes topic-aware, asking targeted questions to land on one best-fit course. Answers build a profile across experience level, goals, time available and preferred style, and the recommendation arrives with its justification attached. Targets cover enrolment conversion, completion, evaluation time and search abandonment.
Worth stealing
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Replacing filters with conversation and wondering how to scope the questions
The transferable bitContext-aware questioning lets one feature behave differently by entry point, which is far cheaper than building two features for two intents. The recommendation also ships with its reasoning, and that is what makes a conversational recommender trustworthy enough for someone to act on rather than second-guess.
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