Product Momentum Podcast

188 / Prerna Singh: Avoiding the AI Build Trap with Better User Research


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Prerna Singh helps organizations build better products and stronger communities. As the founder of Scrappy to Scale Advisors and the former VP of Product and Design at Meetup, she has guided startups and mission-driven organizations through rapid change, customer discovery, and product strategy.

In today’s episode, Prerna explains why human connection and disciplined product thinking matter more than ever during the AI boom. While AI may accelerate product work, she says, successful teams avoid the must stay grounded in curiosity, customer insight, and authentic community building.

Sense of Community Addresses the ‘Isolation Problem’

What started as a casual gathering for fractional product leaders, Prerna’s Product Breakfasts quickly evolved into a broader support system for people navigating uncertainty and AI-driven change and the professional isolation that often comes with it. Many product professionals, she says, now feel overwhelmed by the pace of technological advancement and the pressure to keep pace.

“I don’t think there’s any catching up,” Prerna adds. “‘Catching up’ implies that there’s an end goal to this. And there isn’t. So that’s where I think Breakfast is the evolution of people coming together to share what they know and helping reduce that anxiety that isn’t just a knowledge gap. It’s also an isolation problem.”

First Principles, Supported by Human Interaction

Product professionals need environments where they can safely discuss their own vulnerabilities. The ability to openly admit uncertainty about AI and its impact, to exchange ideas, and learn together is the hallmark of authentic, in-person interaction.

“The IRL connection isn’t going anywhere,” Prerna continues. “We need that human-to-human interaction to have an outlet for where those vulnerabilities are gonna go. Otherwise, they’re just contained within us and we’re just spiraling in our own heads.”

Avoiding the Trap Starts with Better Discovery

Prerna’s extensive background in user research informs her belief in the importance of first principles in product management. AI tools, she says, make it deceptively easy to jump directly into solutioning without fully understanding the customer’s needs and the business’ problems. In her fractional product manager role, Prerna listens “for the thing that clients return to when they stop performing.”

“‘We need AI’ is a common mantra,” she says. “But what’s interesting for me is the kernel of truth that frames that statement. And it’s not what they want. It’s what they can’t circle back to – like there’s a hidden customer insight that we’ve maybe navigated around.”

Lean into Discovery, Prerna concludes. Product teams must remain disciplined about validating assumptions, conducting research, and identifying the real customer need before building anything. “Avoid the trap of jumping into solutioning.”

  • [05:26] Origin story of the Product Leaders Breakfast. The original concept for Product Breakfast started from a place where it came out this concept of isolation. In the last 2-3 years, we’ve heard so much about AI and the way that it’s affecting our jobs.
  • [09:36] Don’t feel like you need to ‘catch up’ to AI’s impact. I don’t think there’s any catching up. Catching up implies that there’s like an end goal to this — and, well, there isn’t.
  • [12:00] The IRL Connection Remains Essential. This is precisely why the IRL connection isn’t going anywhere. We need the human-to-human interaction to have an outlet for sharing vulnerabilities; otherwise, they’re just contained within us and then we’re just spiraling in our own heads.
  • [18:28] What it means to be a ‘fractional product leader’. The fractional product leader brings in a wealth of experience and is able to quickly understand the organization’s problems, the culture, the team and embed themselves as a force multiplier to help that organization achieve its goals.
  • [26:43] AI’s support of user research and first principles. When we approach these challenges with a level of curiosity, we avoid using the first answer as the final answer. We need to dig beyond the surface level truth with user research. And this is actually where AI has been super-helpful because it’s allowing me to ingest lots of different signals to cut through the noise and figure out what that right signal is.
  • [28:09] Spend time in the problem space. I think the trap is jumping into solutioning. This is another first principles thing where I think, again as humans, we have this tendency to want to jump right into solution as soon as we see a problem without spending time interrogating the problem.


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