Data-Driven Product Design · CS 3200 Final Project
Focus: Persona-driven strategy, UX-database alignment, full-stack systems thinking
PetFetch is a database-backed adoption platform concept focused on centralized rescue data, streamlined workflows, and strong UX-technical alignment.
UX Problem
Rescue data is often fragmented across disconnected systems.
Adopters, agencies, and researchers each need different structured workflows.
Poor data centralization increases friction and reduces decision confidence.
My Role
Defined three core personas and translated them into user stories.
Mapped stories to schema requirements, API scope, and UI flows.
Designed search, filtering, and adoption-tracking workflows.
Contributed to full-stack implementation and end-to-end testing.
UX Strategy
Organized search/filtering around adopter mental models.
Created clear pipeline states to improve adoption transparency.
Scoped CRUD workflows for operational clarity on the agency side.
Supported researcher use cases through queryable structured data.
Execution
Persona development and user-story mapping
Feature scoping and prioritization
Flask API and Streamlit flow implementation
Validation against realistic generated datasets
Outcome
Delivered a functional end-to-end prototype showing strong alignment between user research, interaction design, API architecture, and database modeling.
