Led comprehensive product discovery and validation for "Nexa Talent, an AI-powered solution addressing college placement rates, skill gaps, and recruitment inefficiencies.

Conducted in-depth market and competitor research (including market sizing), defined a unique value proposition (UVP), and established core product hypotheses and objectives.

Spearheaded extensive user research, including developing interview questions, conducting interviews and surveys, and analyzing data to derive key insights; created detailed user personas and journey maps.

Translated research insights into actionable product designs, developing user flows, low-fidelity wireframes, and high-fidelity prototypes and mockups.

Defined detailed product requirements by creating epics, user stories, and acceptance criteria following Gherkin's law for different user types.

Established key performance metrics, including a North Star metric, and applied the AARRR framework to devise targeted improvement strategies for user behavior, culminating in an elevator pitch.