As a user of our productivity tracker/manager app, I'd like to see how different habits of mine likely affect my productivity and working style and what it says about the way that I work based on the relationships found between these responses and overall productivity. Therefore, it is important for all calculations and assessments in the app to be driven by large-scale, specific, and sanitized and cleaned data points for a variety of variables as they pertain to productivity
Requirements:
Find data on different variables that are potentially correlated with or otherwise affect productivity among the range of those 18-22 (college students)
Find a way to export data into commonly usable formats (CSV, JSON, etc)
Verify data source, identify any known biases, and make a note of potential leanings that data collection may carry
Identify desirable data variables we would like to have (eg: how much time students spend socializing) that we can't find online, and create a survey question or form response that can be used for us to collect data.
As a user of our productivity tracker/manager app, I'd like to see how different habits of mine likely affect my productivity and working style and what it says about the way that I work based on the relationships found between these responses and overall productivity. Therefore, it is important for all calculations and assessments in the app to be driven by large-scale, specific, and sanitized and cleaned data points for a variety of variables as they pertain to productivity
Requirements: