Data Analysis

What we found...

After review of our collection of interview data, we have made a few select observations that will help improve and refine the scope of our app. Common trends across our interviews showed that everyone is aware pollution is a major issue with the environment. However, not all of them were ready (or had the available resources available) to commit to making positive changes. Some answers indicated that reusable products are a way they would make improvements, whether via refillable water bottles or shopping totes. Another relevant finding showed that people enjoyed using apps daily, but not when they had to consistently in order to track or scan many items. Due to the risk of not wanting to make an app that is too cumbersome and persistent to use, we think the best approach is going to be an occasional shopping assistant with added incentives. Incentives were a major reason our interviewees would consider choosing alternative options, even if not their primary choices. This could also be factored in with cost, being the second most likely influence of shopping habits. Lastly, we may want to consider the types of incentives and how they may vary from populations, reasons including lack of resources (such as places to refill water bottles), having to deal with maintenance of those products (if applicable), and offering products that may put users in “win-win” situations. We felt that our data between both the survey and interviews gave us a clearer picture of the direction in which we wish to develop our app, keep users interested, and thus hopefully improve their environmental impact.