Shreya Jaiswal

🌱 I'm Shreya, a Lead Mixed Methods UX Researcher who wins hearts and changes minds.

I thrive in fast-paced teams with heartwarming missions and a love of data! 📍Brooklyn

[Figure 1] A subtly placed copy of the Power Broker suggests intellectual depth.

🚀 I believe the future of UX research has data science in it.

🐒 In a past life, I studied primate behavior (technically, still do) and worked in ten different laboratories at UChicago & UC Davis. The scientific method is in my DNA.

🎨 Since then, I've mastered my craft at Chase, Peloton, Unity, and fintech startups over 5 years.

📈 Currently a fellow at the NYC Data Science Academy, where I'm learning MORE data science, for fun.

🫶🏽 My superpower is the ability to bring closeness and inclusion to teams, it stems from genuine friendliness and an affinity for a variety of personalities.

✍🏽 I'm a non-fiction storyteller, harpist, boardgamer, 3D printing + tinkering enthusiast (shameless Etsy shop plug), and history + near-future sci-fi reader.

🫒 I play with my food.

[Figure 2] Purple potato gnocchi inspired by Blue Zones.

[Figure 3] Vanilla bean panna cotta with hexagons.

🎷 I engage in hobbies not conducive to NYC apartment sizes.

[Figure 4] Specimen with improper harp form in early days.

[Figure 5] 3D printing with supports.

🎮 I built data-backed personas of indie game devs using user segementation.

[Figure 6] The data in this figure is faked for company privacy.

Silos are everyone’s worst nightmares, your impact is small and it’s easy to lose sight of the bigger picture. Our company lacked a unified understanding of our users across the multiple teams. I spearheaded the creation of data-backed user personas, linking our wide-ranging teams to a single source of truth.

I started with a quantitative survey of indie game creators designed to uncover the diversity within our user base, asking about everything from their development tools and workflows to their motivations, goals, and challenges.

User segments emerged through k-means clustering, revealing distinct groups with shared needs, behaviors, and frustrations. To fill in the gaps and bring these personas to life, I conducted eight in-depth interviews for each identified segment. I created a central repository of data-backed user personas that became common language across teams, a step toward ending the silo.

#explanatorySequentialDesign #userSegmentation

Note: I take company privacy seriously, contact me to go over redacted case studies.

📈 I led benchmarking to ensure improvements for small biz owners were measurable.

[Figure 7] The data in this figure is faked for company privacy.

Our team is engaging in a complete product overhaul, a costly and cross-functional endeavor. Common measures of success, conversion and revenue, don’t apply to our product and access to user data is limited. How, as a research leader, can I ensure our changes aren’t futile?

Usability benchmarking, (a qual + quant method), is the best way to ensure our years of iteration have measurable improvements. The benchmark I designed provides qualitative insights on users’ points of friction and insight into their mental models. Quantitative insights include time on task, number and scope of errors, user ratings on ease of use and requirements (later used to calculate SUS score). We now have a clear and quantifiable vision for success.

This study established a robust framework for future benchmarking and fostered a culture of data-driven strategy.

#convergentParalleldesign #benchmarking #dataAnalysis

Note: I take company privacy seriously, contact me to go over redacted case studies.