Priyanka
Kuvalekar
Senior UX Researcher at Microsoft
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
Wed May 13 - 5:30 PM EDT/New York (See in local time)
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05/13/2026 5:30 PM
05/13/2026 05:50 PM
America/New_York
#WTGC2026
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
#WTGC2026
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
"From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle"
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Session: From Prompt to Product Outcomes: Building AI Agent Workflows Across the UX Research Lifecycle
UX researchers are expected to move from ambiguous problem spaces to decision-ready evidence, often under tight timelines and with limited support. This talk presents a practical, end-to-end approach for using AI across the UX research lifecycle, with a focus on building lightweight AI agents (“micro-agents”) that support repeatable work while preserving research rigor. Grounded in real workflows using tools such as ChatGPT, Claude, Microsoft Copilot/Copilot Studio; I will demonstrate how to apply AI to accelerate research planning, support execution, strengthen synthesis, and improve stakeholder communication.The session will also introduce a lightweight approach to AI agent evaluation—using a small set of scenarios and a simple scorecard (usefulness, reliability, user control) - to quickly identify where an agent helps, where it breaks, and what to improve. Attendees will leave with reusable templates, agent blueprints, and a repeatable workflow they can apply immediately.
Key Takeaways
- Learn how to design AI agent workflows that support the full UX research lifecycle: from planning and study setup to synthesis and reporting.
- Gain a practical approach to standardizing repeatable research tasks (e.g., briefs, guides, synthesis outputs) using lightweight “micro-agents.”
- Understanding AI evals for building better AI agents
- Leave with a clear framework for turning raw research inputs into decision-ready evidence using AI
Bio
Priyanka Kuvalekar is a Senior UX Researcher at Microsoft, leading mixed-method research for Microsoft Teams Calling and agentic AI collaboration experiencesAs the Lead Researcher, Priyanka partners closely with product, design, engineering, and data science to build trustworthy, accessible, and usable communication workflows; ensuring research stays at the forefront and directly influences product strategy, roadmaps, and engineering execution.
Across 7+ years, Priyanka has led end-to-end UX research across Microsoft, Cisco Webex, Global Payments and Korn Ferry - partnering with cross-functional teams to strategically influence and shape enterprise collaboration, communication, FinTech and HR experiences. Furthermore, she holds a Master of Science in User Experience and Interaction Design and is an accessibility champion, leading research with people with disabilities to ensure products are inclusive, compliant, and usable from the start.
Beyond work, Priyanka is deeply passionate about giving back to the tech community. She runs an Instagram blog (@uxr.pri) focused on UX and Product work with 5,000+ followers, where she shares practical, structured guidance for aspiring researchers and UX professionals and talks about the realities of working in high-velocity AI product teams.
She was also a speaker at the Grace Hopper Conference 2025, has previously spoken at Women in Tech Global 2024, and she actively mentors aspiring and early-career professionals through ADPList and LinkedIn.
