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Work
My Work
Identifying and Prioritizing Core Features
Digging to the bedrock to reveal what will deliver the most value to the target audience and curating the highest priority features.
Vital steps to ensuring proper resource allocation for maximizing yield.
Vital steps to ensuring proper resource allocation for maximizing yield.
Defining Success Metrics
I selected KPIs that directly reflect product performance and user satisfaction, to ensure clear goals are established before development begins. This also enables data-driven decisions, allowing for iteration and refinement of the MVP.
Design and Implementation
Utilizing Agile methodologies, I aligned a suite of AI tools and APIs to function as a cross-disciplinary product team—leveraging AI-driven design assistants, code generation tools, and workflow automation to accelerate development.
Collecting and Analyzing User Feedback
I conducted user testing on 25 participants ranging from undergraduate to graduate levels of education. With these metrics, I evaluated both the overall user experience and the efficacy of the user info sheet in optimizing interactions with the AI.
Enhancing Through Iteration
After analyzing feedback, I worked to calibrate the user info sheet in order to improve the average match accuracy. Additionally, I implemented more concise Sync Descriptions along with a revamped color theme to boost overall user satisfaction.
Managing MVP Development in a Team Environment
In building this MVP, I balanced strategic planning with hands-on execution, structuring AI tools and APIs into distinct team roles to mimic a real-world product team. This approach enabled efficient iteration and a streamlined development process.
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