Project Type: Prototype / Product Management Assignment
Technologies: Cloudflare Workers, D1 Database, Workers AI, KV Storage
This project is a prototype for a feedback aggregation and analysis tool, built as part of the Cloudflare Product Manager Intern assignment (Summer 2026). The goal is to simulate managing scattered product feedback from multiple channels and derive meaningful insights.
The prototype focuses on:
- Aggregating feedback from multiple sources (mock data)
- Analyzing sentiment and themes using Cloudflare AI tools
- Visualizing feedback in a dashboard for quick actionable insights
Live Demo: https://feedback-dashboard.cf-onboarding.workers.dev/
- Cloudflare Workers: Hosts the prototype and orchestrates feedback processing
- D1 Database: Stores structured feedback entries
- Workers AI: Summarizes feedback threads and performs sentiment analysis
- KV Storage: Stores unstructured mock feedback data
- Feedback aggregation from multiple channels (simulated)
- Sentiment analysis and theme extraction using AI
- Dashboard visualization for product insights
- Rapid prototyping to simulate real-world PM problem-solving
As part of the assignment, a friction log was maintained to document challenges and suggestions for Cloudflare products, including:
- Onboarding experience
- Documentation gaps
- UI/UX inconsistencies
- Feedback workflow improvements
- Clone the repository:
git clone https://github.com/yourusername/feedback-dashboard-pm-assignment.git
NOTE: This project uses **mock/simulated data** for demonstration purposes. No real production data is included.