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To organize the course/prof. data in a visually appealing manner.
To help the user decide the prof/course easily using appropriate metrics easily understandable by the user.
To help user decide with ease meaning in as least time as possible.
Hypothesis
1. (Feature): Simplify the grade distribution
(User behavior): Use can easily understand without much digging around
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If we <achieve/enable X>, then <user behavior Y changes in this way> leading to positive metrics <Z>. Include guesses for the size of the win on specific metrics, using past launches as a baseline.
2. (Feature): Clear Pass/Fail Representation
(User behavior): Use can easily understand how many passed/failed in the course.
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If we <achieve/enable X>, then <user behavior Y changes in this way> leading to positive metrics <Z>. Include guesses for the size of the win on specific metrics, using past launches as a baseline.
3. (Feature): Overall grade score
(User behavior): User can easily judge the ease of grading or ease of scoring in the course
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If we <achieve/enable X>, then <user behavior Y changes in this way> leading to positive metrics <Z>. Include guesses for the size of the win on specific metrics, using past launches as a baseline.
4. (Feature): Overall prof. score
(User behavior): Use can easily understand the teaching style, difficulty level of the prof.
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