The same thing happens when people seek advice from others' experience. Everyone has different background, and the advice might not be applicable. Therefore, I propose a personalized estimation system, gathering not only users' reviews and feedbacks, but also their background, personality, level of proficiency, etc. Based on those information, and the situation of the person who use it, it would generate a reasonable estimation/advice for this person.
The following two storyboards describe two use cases of the design:
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