Inspiration
💡We wanted to create a digital experience realizing the growing challenges of tracking user-sentiment within companies and being able to act on that data. 🤝 Our project not only tracks user-sentiment data, but it also creates a better relationship between customer and company.
What it does
💻 Our website application helps T-Mobile monitor and support user-sentiment through data driven insightswhich include an interactive maps of specific pain points of users, and as well provides solutions to problems the company might be facing.
How we built it
🧩 We began our project through design research methods such as a bifocal lens and a competitive analysis. Used Figma to create UI mockups, and with VS Code we imported the UI characteristics into our HTML and CSS files. For our backend, we used Machine Learning (K means clustering) and API integrations with Python.
Challenges we ran into
🧱 A few challenges that we ran into was being able to prioritize our features for higher impact and less on lower impact due to time constraints. In addition, gathering user sample data for our ML model and the overall time it took and and the accuracy of the calculations were things we had to work around.
Accomplishments that we're proud of
👍 With this being our first ever hackathon, the progress we made on our project in a very limited time slot we are proud of.
What we learned
💭 By completing HackUTD, we learned learned how to integrate different types of user data and online resources and blend them together into a digital experience that utilizes them for solutions.
What's next for T-Mobile Insights
📚 Due to a very limited time constraint, the next steps for T-Mobile Insights would be refining the UI, user data that is gathered, and after completing this we would incorporate user-testing to be able to make it better.
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