Microsoft leadership wanted to investigate the use of Generative AI (genAI) by product managers (PMs), a traditionally understudied user group. Previously, only software engineers had been involved in the conversations about genAI usage at the organization. As this was the first comprehensive study on PMs and genAI, I designed and led a mixed methods study, distributing a large scale, global survey (885 participants), in parallel with semi-structured interviews (15 participants) and triangulated with telemetry data.

• Internally validated research instruments with user group and other productivity researchers
• Led data collection
• Collaborated across disciplines (data science, product management, software engineering, and AI research)
• Qualitatively and quantitatively analyzed data across sources
• Developed Python charts to visualize quantitative and qualitative analytical findings
• Performed thematic analysis on interview and open-text survey questions
• Conducted workshops with product managers to refine findings

• Presented findings and their implications to leadership (corporate vice presidents, managers, AI + marketing)
• Produced the Selective Delegation framework to depict how PMs delegate tasks to genAI
• Reported on PM GenAI adoption rates, use cases, and perceived benefits and challenges
• Guiding the production of a playbook to augment PM genAI literacy at the company
• This work forms part of Microsoft's New Future of Work Report
• First-authored the below academic paper to disseminate findings and implications of this research

I presented our paper on this work at the Internaitonal Conference in Software Engineering (ICSE) in April 2026.

To reach practitioners beyond academic audiences, we also wrote an ACM Queue article titled: Climbing the Generative AI Mountain A “hitchhiker's guide” for product managers

I designed the below sticker to share this work in a fun and accessible way: