Shreya Jaiswal
📍 New York City
Shreya Jaiswal
📍 New York City

Challenge: With limited engineering bandwidth for the year, our team needed to identify which features delivered the most user value.
Approach: I designed a quantitative MaxDiff study to measure feature importance, followed by a conjoint where participants could choose “no preference” to validate differentiation strength.
Impact: The analysis produced a clear, data-driven prioritization model that guided roadmap decisions and aligned stakeholders on where to invest.

Challenge: Redesigning a complex product without standard success metrics like conversion or revenue, with limited user data access.
Approach: Designed a mixed-methods usability benchmark, combining qualitative insights (user friction, mental models) with quantitative metrics (time on task, errors, SUS score).
Impact: Established a clear, measurable framework for product success and embedded a culture of data-driven decision-making.
Challenge: Build personas that are data-backed with segmentation that is also meaningful; the difference in behaviors, actions, and needs should lead to an actionable improvement for our team.
Approach: Conducted a large-scale quantitative survey, with profiling questions and respective behavioral questions to find segments that are meaningful for product improvements.
Impact: The discovered breakdown of segments led to a varying design for each group - resulting in higher than average increases in satisfaction.