Joan Tafoya, Former Director at Meta, Intel & Sandia: Why Swarming Every Problem Slows Teams

Joan Tafoya joins Jamie Flinchbaugh on People Solve Problems for a conversation built around one deceptively simple question: how do you coach problem solving when the person in front of you is difficult to coach?

Joan, a former director at Meta, Intel, and Sandia National Laboratories with nearly 38 years of experience, brings a perspective shaped by leading large, globally dispersed teams and by watching problem-solving succeed and fail at scale.

Joan opens by describing her own growth as a leader. In her early years as an engineer and manager, she was focused on results and often grew frustrated when people did not solve problems the way she would have. Over time, she recognized that she could not advance until she taught others to think differently, not to think like her, but to think more deliberately about problem-solving itself. She points to a turning point while running a manufacturing line at Intel, where a constant stream of people asking for the next step left her burning out. The shift she made was to narrate her own thinking out loud so others could follow it, and to ask people what they were thinking rather than supplying every answer.

That experience leads to one of the central themes of the episode. Joan is honest that her move toward coaching began partly as self-preservation, but she came to see it as something larger. She realized her team did not always share the same picture of success, and that alignment on both the problem and the desired outcome mattered as much as effort. Coaching, in her telling, became the way to build a group of trusted people who could carry the work forward and free her to take on new challenges.

Joan also reflects on the challenge of coaching highly credentialed experts. At Sandia National Laboratories, she built a department focused on lean and problem-solving practices in an environment where nearly everyone held a PhD. Rather than pretending to match their technical depth, she earned credibility by listening carefully, reflecting what she heard, and asking sharper questions, especially about the knowledge gaps standing between the team and its next breakthrough.

Prioritization is another area Joan explores in depth. Drawing on her time at Meta, she describes a culture that was learning to balance speed with reliability. Her first prioritization question is not whether a problem is important but whether her team is the one best suited to solve it. She warns against the instinct to swarm every visible