AI-Powered Customer Sentiment Analysis for a Fintech App
Overview
What this challenge is about.
You will receive a dataset of 500+ anonymized app reviews and tweets. Using AI tools like ChatGPT or Claude, you must craft prompts to classify sentiment (positive, negative, neutral) and extract key topics. Deliver a 3-page report summarizing findings, a prototype dashboard (e.g., in Figma or a simple web app), and a set of 5 actionable recommendations. Success is measured by accuracy of classification (validated against a small labeled set) and clarity of insights.
The Brief
What you'll do, and what you'll demonstrate.
How can FinSight leverage AI to automatically analyze user feedback at scale and prioritize product improvements?
Earning criteria — what you'll demonstrate
- Apply prompt engineering techniques to extract structured data from unstructured text
- Evaluate AI model outputs for accuracy and bias
- Design a simple prototype to communicate data insights to non-technical stakeholders
- Integrate generative AI tools into a business analysis workflow
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.