Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Exit Interview #7: Facing a blank slate in retirement when constraints are all you’ve ever known
Summary
Constraints had long been Rachel Garb’s livelihood. As a designer and middle manager in Big Tech, she reconciled user needs, stakeholder priorities, business goals, time and resource limitations, design standards, organizational considerations, and more — often by influencing without authority. After three decades, Rachel retired in 2023, craving more freedom and control. But once she had it in spades, she didn’t know what she wanted to do with it. She's still figuring it out, but three years in, she’s found new friends outside of tech, is more physically active than ever before, volunteers in her community, travels several times a year, and has completed a few big projects including publishing her first book. Tune in for a conversation about Rachel’s transition into retirement, including how she knew it was time, strategies that helped her move beyond the blank slate, and what she wished she’d known beforehand.
Key Insights
-
•
A career in UX at big tech involves enduring constant constraints, slow progress, and multiple stakeholders, requiring the acceptance of limited autonomy to impact millions.
-
•
Fluid intelligence peaks in midlife and then declines, prompting a shift towards leveraging crystallized intelligence in career pivots.
-
•
Rachel transitioned from hands-on design to organizational leadership roles, emphasizing synthesis, advising, and relationship-building over pure creative output.
-
•
Repeated reorganizations within large companies greatly impact employee energy, motivation, and career decisions.
-
•
A financial advisor can fundamentally change one's perspective on retirement feasibility and timing.
-
•
UX skills are transferable and valuable outside traditional tech roles, serving as problem-solving superpowers in other industries.
-
•
Managing personal constraints and being intentional with time and energy are crucial after leaving structured work environments.
-
•
Writing a small, focused book can serve as a manageable and rewarding 'side project' post-career rather than embarking on large commitments.
-
•
AI, while a disruptive force, was not a direct motivator for Rachel’s exit but has become an important tool she uses in creative and practical ways.
-
•
Workplace AI adoption often suffers from leadership pressure without clear guidance, causing employee struggle with unclear mandates.
Notable Quotes
"I always said I'm not good with blank slates. I had to develop my own constraints after leaving structured work."
"The hardest part was losing my identity of being someone who works in tech after so many years."
"When constraints are all you’ve ever known, moving fast and breaking things just isn't possible."
"Fluid intelligence peaks and then declines; that's when we should lean into crystallized intelligence—organizing, synthesizing, sharing."
"I wasn’t drawn to product work anymore because the fluid intelligence needed to navigate it felt out of reach."
"UX skills are like secret superpowers you bring to any job, even if it’s a small company or non-tech field."
"I made a snap decision that I needed a break and to leave because the constant reorganizations were exhausting."
"I didn't want to work full-time again right away, so I wrote a short book to experiment with what was next."
"AI helps me bounce ideas and do practical things, but it doesn't do the writing or the creative work for me."
"Leadership often pressures teams to integrate AI without explaining why or how, which leads to confusion and frustration."
Or choose a question:
More Videos
"I was probably tormenting Tomer and Benjamin by pushing the edges of Polaris with unusual data like photos of pianos in offices."
Michele MarutResearch Repositories Reconsidered
February 14, 2019
"Design systems are the language of implementation; they allow us to communicate ideas in a common format and process."
Mitchell BernsteinOrganizing Chaos: How IBM is Defining Design Systems with Sketch for an Ever-Changing AI Landscape
September 29, 2021
"If you understand their language—gross merchandising value, monthly recurring revenue, daily active users—you speak their world."
Dalia El-ShimySo You've Got a Seat at the Table. Now What?
March 31, 2020
"Data is only as good as insights that come out of it and action."
Kristen Honey"Let’s Talk About Data and Crisis”: Public Digital Service Delivery = Open Data + Human Centered Design
November 18, 2021
"We’re building and securing better frameworks and futures rather than tangible, countable, easy-to-quantify widgets."
Frances YllanaTheme 2 Intro
September 24, 2024
"Evals are everywhere, right? Everybody's talking about evals. It is like one of the key things in developing useful AI products."
Peter Van DijckHands-on AI #2: Understanding evals: LLM as a Judge
October 15, 2025
"This talk is more than anything else, it’s about confidence."
Sam LadnerHow Research Can Drive Strategic Foresight
March 9, 2022
"Information architects use nodes and links to create environments for understanding."
Peter MorvilleThe Architecture of Understanding
May 13, 2015
"It's okay to try and mess up your OKRs in the first few quarters and learn from it."
Bria Alexander Benson Low Natalya Pemberton Stephanie GoldthorpeOKRs—Helpful or Harmful?
January 20, 2022
