A problem to explore
Our group had come up with a proposal for creating a cognitive app that could create culturally immersive experiences without needing to go through all the complications of traveling to a new country. While exploring the user and business frame of our idea, we came up with a few specific problem statements that are worth researching. The one which appealed to me is as follows: “Understand how low-income individuals generate ideas about culturally immersive experiences in relation to cost.” I thought this problem was much more important to be researched since it is a key part of the app which was proposed. By researching this, it could open up more information regarding our target market and how we can use cognitive to bolster this potential opportunity.
To extract this information, it would be simplest to start with the basic parts of a culturally immersive experience. Specifically, these could be restaurants, festivals, cultural centers or museums. Next, it would be beneficial to create a list of how these different groups cater to people with low income. For example, it would be good to know if a restaurant will offer deals at certain times of the days or if a museum can give a family discount.
The next step would be discovering how the user feels about the different deals in relation to them trying something new they would try. This sounds confusing and it would be hard to quantify an emotional feeling, but it could be simplified to asking a group of users to rate how likely it would be for them to use one of these cost-cutting deals. Each group of users would be grouped by income level. After this, there will be information on how likely a user from a specific income level would be to enact or use one of the special offers from some of the culturally distinct locations. By surveying users of different income levels the research would be diverse and less prone to bias because various groups are represented. And then, the data from the research can be used to find trends between a variety of income levels and this could be vital information for the cognitive system to use when offering recommendations.
