Explorez tous les épisodes du podcast Fit Happens: Why CEOs and Leaders Succeed or Fail

Are you actually spotting leadership potential, or just rewarding polish and confidence?

In this solo episode, I break down the most overused word in succession planning: potential. Every talent review, every nine box grid, every slate has it, and almost nobody defines it the same way. I walk through research on how companies actually measure potential (hint: it's mostly just past performance in disguise), and why that approach quietly filters out some of your best future leaders while promoting people who eventually derail.

I get into the four components of learning agility, the strongest research backed predictor of leadership potential, and why it matters more than how someone performs at a job they already know how to do. I also share a personal story from early in my career about a candidate who nearly didn't get the job because he wasn't polished in the interview, and what a reference call taught me about how wrong my first impression was.

This episode is for anyone involved in CEO coaching, executive coaching and leadership development, or succession planning, whether you sit on a board, run a talent review, or you're simply trying to understand your own leadership fit. I also give you a practical tool, the first time test, that you can use in your next interview or reference call to actually find the signal that matters.

Key takeaways:

• Most organizations define potential as being impressive right now, which is backwards. Potential is supposed to predict something you haven't seen yet.
• Only 1 in 10 companies studied actually measured how someone handles ambiguity, even though ambiguity defines most senior roles.
• More than 40% of people on high potential lists often don't belong there, and the research shows this shows up across decades of leadership data.
• Learning agility, the strongest predictor of leadership potential, has four parts: mental agility, people agility, change agility, and results agility.
• People high in learning agility tend to underrate themselves, while people low in learning agility tend to overrate themselves, which skews interviews toward the wrong candidate.
• Leaders who greatly overstate their own abilities are six times more likely to be a derailment risk.
• Between 30 and 50 percent of high potential managers and executives eventually derail, and many leave involuntarily within five years.
• The first time test asks candidates and references about the first time someone did something they'd never done before, not how good their results were.
• Similarity bias leads boards and companies to pick successors who look like the current leader, which can reinforce the same blind spots in leadership fit and hiring a CEO decisions.

FitHappens is hosted by Jason Baumgarten, Former Head of the Global CEO and Board Practice at Spencer Stuart. The show covers CEO succession, hiring a CEO, board of directors dynamics and governance and leadership fit and performance. New episodes every week at fithappens.fm.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Two finalists, one big question
01:34 What potential actually means
02:40 Why companies can't agree on the definition
03:37 Only 1 in 10 measure ambiguity
04:09 Same person, opposite verdicts at two companies
05:01 Over 40% don't belong on the list
05:37 35 years of research on leadership potential
06:21 Learning agility defined
06:39 Mental agility
07:03 People agility
07:25 Change agility
07:44 Results agility
08:15 Why confident people are riskier bets
09:26 What the Center for Creative Leadership found
10:03 Why interviews hide the real signal
11:03 The quiet candidate's answer
12:05 Back to the two finalists
13:11 A reference call that changed my habits
15:22 Confidence, competence and gender
16:22 The first time test
19:32 What to ask on reference calls
21:14 A question to ask yourself
21:45 The real cost of getting potential wrong
22:57 Similarity bias in succession planning
23:37 Homework for managers

Jon Cohen spent decades calling elections before founding an AI company built to fix his own industry.

I sat down with Jon Cohen, founder and CEO of TrueDot.ai, who spent his career running polling at ABC News, the Washington Post, and Pew before becoming chief research officer at SurveyMonkey. We talk about why he never let himself get promoted out of the actual work, what it felt like calling presidential elections on deadline, and why he thinks executive fit depends on leaders getting real data instead of numbers designed to look good.

Jon walks through the Michigan Senate primary that upended pre-election polling, and the idea he coined to explain it: plausibility is not validity. We get into why so much market research is built for number generation instead of truth seeking, how leadership coaching programs and executive coaching for leaders could benefit from the same kind of rigor pollsters apply to their own data, and why checking numbers by hand has quietly been the way researchers train judgment for generations. Jon also talks about what happens to that training pipeline as AI takes over the checking work itself, and where the next generation of deep expertise actually comes from.

This conversation also gets into culture fit inside research teams, the discipline of asking a genuinely useful question instead of an easy one, and why leadership fit so often comes down to whether a leader is willing to hear the truth instead of the number that makes the trend line go up.

Key takeaways:

• Jon built a system to ingest historical polling data because scarcity forced him to do more with less at both the Washington Post and ABC News
• The Michigan Senate primary showed how pre-election polls and prediction markets can all be wrong in the same direction at once
• Plausibility is not validity: a number can sound reasonable and still be wrong, and leaders need a system for testing which one they are looking at
• Most market research is built to keep a trend line moving up and to the right, not to generate genuine insight
• Checking numbers by hand has traditionally been how researchers develop judgment, and AI tools that automate that step raise real questions about how the next generation learns
• Jon's advice against choosing a career too early shaped a path that took him from a history degree to programming to running polling operations
• Executive coaching for leaders and leadership coaching programs benefit from the same rigor Jon applies to survey design: know what you will do with the answer before you ask the question

Fit Happens is hosted by Jason Baumgarten, Former Head of the Global CEO and Board Practice at Spencer Stuart. The show covers CEO succession, hiring a CEO, board of directors dynamics and governance and leadership fit and performance. New episodes every week at fithappens.fm

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Cold open
00:47 Welcome, Jon Cohen
01:15 From history major to predicting the future
02:57 Policy institute versus the newsroom
05:50 Calling elections at the Washington Post
09:14 What got easier and harder in polling
14:18 Building TrueDot to fix the industry
19:11 Democratizing research tools for executives
23:44 The Michigan Senate primary surprise
27:16 Plausibility is not validity
33:11 The researcher in the loop
36:20 Where does the next Jon Cohen come from
45:19 Speed round
51:11 Closing thoughts

A candidate lights up the room in the debrief, and a year later the company is searching again. Here's why.

I open this episode with a scene that will feel familiar to anyone who has sat in a hiring debrief. The candidate walks out, the folder full of scorecards and reference notes sits untouched on the table, and someone senior leans back and says, "I just really liked her." Heads nod. The room shifts from evaluation to formality. Nobody compares evidence. The verdict arrives before anyone has opened a single page.

This episode is about that moment, and about chemistry, the feeling in an interview when it just clicks. I've spent decades in executive search and leadership advisory, sitting in rooms like that one with boards and CEOs deciding who the leader should be, and I want to walk through why chemistry feels like good judgment but actually works like a shortcut around it.

I bring in research that should change how you run your next debrief: a study where interviewers given completely random, disconnected answers walked away feeling just as insightful as the ones who heard the truth, and where those random interviews actually made predictions worse than using past performance alone. I look at why structured interviews predict job performance roughly twice as well as loose conversational ones, and why fit so often just means "this person reminds me of me." I also bring in the economic idea of an information cascade, and how the first strong opinion in a debrief can quietly outweigh everyone else's private judgment.

Then I walk through the fix. I call it the chemistry ledger: a simple two line discipline where competency gets scored first, independently, with evidence, before anyone in the room says whether they liked the candidate. Chemistry gets recorded and weighted separately, and only discussed after the evidence is on the table. It's a small change in sequence that protects the parts of ceo succession and executive fit that actually predict performance, without throwing out the human part of hiring.

If you are involved in hiring a ceo, sitting on a board making a board recruitment decision, or simply running your next leadership debrief, this episode gives you a concrete tool to use before the next offer goes out.

Key takeaways:

• Chemistry feels like good judgment, but it functions like an anchor that shapes everyone who speaks after it
• Research shows random, disconnected interview answers can produce just as much interviewer confidence as real ones
• Structured interviews predict job performance roughly twice as well as unstructured conversation
• Fit is often measured by resemblance to the evaluator, not by evidence of ability
• The first strong opinion in a debrief can function like an information cascade, pulling the room along with it
• Warm, agreeable groups are especially exposed to groupthink because they lack rules protecting disagreement
• The chemistry ledger separates competency scoring from chemistry scoring, with evidence required for both
• Weight how much chemistry should matter for the specific role before the debrief begins, not during it
• Organizations that removed bias from major decisions saw returns up to 7 percentage points higher
• In a survey of failed hires, 82% of managers said the signs were there in the interview all along

Fit Happens is hosted by Jason Baumgarten, Former Head of the Global CEO and Board Practice at Spencer Stuart. The show covers CEO succession, hiring a CEO, board of directors dynamics and governance and leadership fit and performance. New episodes every week at fithappens.fm.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Welcome to Fit Happens
00:35 The room that already decided
02:04 Why the winning candidate is often wrong
03:44 The one line to remember
04:23 The interview that was mostly random
06:47 Structured interviews beat conversation
07:16 Fit as resemblance to the evaluator
09:00 The information cascade explained
09:57 A debrief I remember early in my career
10:47 Groupthink and the warm room
12:15 What the room was really measuring
13:44 Keep chemistry, but make it vote last
14:19 Introducing the chemistry ledger
16:14 Francis Galton and the ox at the fair
17:27 Amazon's bar raiser program
18:03 Real chemistry versus interview chemistry
20:01 Bias, returns and the financial case
21:15 Try this in your next debrief
22:16 Closing thought on the chemistry ledger

Why does experience in one crisis so often fail a leader in the next one? I open this episode with the story of the 1949 Mann Gulch wildfire, where foreman Wagner Dodge lit an escape fire to save his crew and nobody followed him. Thirteen men died. Forty five years later, at South Canyon, fourteen more firefighters died in strikingly similar circumstances, and I use both disasters to ask a question that matters far beyond wildland fire: why is it so hard to drop the tool that once made you successful?

This episode is about what boards, investors, and leaders actually mean when they call someone crisis tested, and why that label hides more than it reveals. Executive search firms and boards often reach for that phrase as shorthand for readiness, but tested by what? A cash crisis, a collapse in employee trust, a global epidemic, these are not the same leadership assignment, even though they get filed under the same word. I walk through research on extreme context, threat rigidity, and the "romance of leadership" to show why a leader's past crisis performance may not transfer to the next one, and why executive search consultant work in this area demands more than a good war story.

I also get into the identity problem underneath all of this. Wagner Dodge's crew held onto their tools because those tools were part of who they were as firefighters. The same thing happens in the boardroom. The operator who cuts costs, the founder who ships fast, the consensus builder who brings everyone along, each of them can get trapped by the very strength that made them valuable, right when the situation calls for something else entirely. I share a hypothetical example of a CFO who saves one company with a small, tightly controlled decision team, then reaches for that same tool at her next company when the actual problem is a trust crisis, and it makes things worse.

Toward the end, I give you a practical framework for interviewing crisis leaders (and for auditing your own current decisions): ask not just what they did, but what they misunderstood at first, what evidence changed their mind, and whether they built resilience into the people around them or just personally carried the whole thing. I close with a 24 hour challenge you can run on a decision you're committed to right now.

Key takeaways:

• The label "crisis tested" is meaningless without specifying which crisis, since different threats require entirely different leadership skills
• Sean Hanna's extreme context framework and Boris Groisberg's research on star analysts both suggest that past performance under pressure does not automatically transfer to a new context or team
• Wildland firefighting research from Michelle Barton and Kathleen Sutcliffe found that noticing a warning sign isn't enough, voicing concerns and seeking other perspectives is what actually helps people change course
• Threat rigidity, first described by Barry Staw and colleagues, shows how pressure narrows information processing and concentrates control, often at the exact moment more perspectives are needed
• A leader's greatest strength can become the tool they can't put down, whether that's speed, consensus building, or a tightly controlled decision process
• The best interview question for a candidate who claims crisis experience is not about the win, it's about what they misunderstood at first and how they changed course
• Boards can unintentionally teach leaders to conceal uncertainty by demanding total confidence instead of candor

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 The Mann Gulch fire and the escape fire nobody followed
02:16 What does crisis tested actually mean
03:38 Sean Hanna's framework for extreme context
04:01 Boris Groisberg's research on star analysts changing firms
05:41 The difference between a problem getting worse and a problem changing entirely
07:08 What happens when people can no longer agree on what is happening
08:26 Making your explanation impossible to challenge
08:53 When intuitive expertise deserves your trust
10:06 Why firefighters cling to their tools as identity
11:30 Threat rigidity and narrowing information under pressure
12:16 Ranjay Gulati's research on companies that flourished after recessions
14:02 Separating who decides from who contributes information
16:00 The board's responsibility in rewarding candor
16:19 The romance of leadership and how we rate charismatic leaders
18:05 A hypothetical CFO and the tool that stopped working
21:00 What to actually ask a candidate about their crisis experience
22:36 Your 24 hour drop test challenge

A leader who looks safe on paper might be the riskiest hire you make in the AI era. That's the paradox at the center of this conversation.

I sit down with Liat Ben-Zur, a longtime technology executive who has led through four major shifts, the internet, mobile, IoT, and now generative AI, at companies including Qualcomm, Philips, and Microsoft. Liat is also the author of a new book on leadership and bias, and we get into why the very experience that used to make someone a safe executive hire can now be the thing holding them back.

We talk about why AI is not just a tool but something that rewires org design and leadership itself, why some highly accomplished executives freeze when their old playbooks stop working, and why leaders who have had to operate without a map, often because they never quite fit the traditional mold, are proving to be the ones adapting best. Liat gets candid about her own career, including hiding a core part of her identity for years to survive in rooms where she was often the only woman, and what she learned about leadership once she stopped hiding.

We also cover why bias hidden inside an algorithm is more dangerous than bias spoken out loud, what boards get wrong about succession planning during AI transformation, and why asking better questions matters more than having the right answer.

Key takeaways:

• Experience can become a liability in the AI era if it means applying yesterday's playbook to a fundamentally different problem
• AI is not a single tool, it is rewiring how every function works, from marketing to legal to supply chain
• Leaders who struggle most with AI tend to have built their authority on hierarchy, control, and being the expert in the room
• Bias embedded in an algorithm sounds objective and confident, which makes it harder to challenge than a human opinion
• Unconventional leaders who have had to navigate systems not built for them often develop sharper instincts for spotting bias and blind spots early
• Systems thinking, not narrow function expertise, is becoming the key differentiator for executives
• Common succession planning failures include handing AI ownership to a tech team instead of the business functions that actually need to change
• Boards should spend far more time on fewer, higher stakes questions instead of spreading attention thin across an agenda
• Learning agility matters more than relevant experience, because the next generation of decisions will involve technologies that do not exist yet
• Hiding parts of yourself as a leader costs you the deeper connections that make you more effective, not less

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Cold open: the safe hire paradox
01:12 Welcome, Liat Ben-Zur
01:26 Is AI hype real or overblown
04:00 Why AI changes every function, not just tech
05:19 Boards pulling back on AI spend
08:25 Why she wrote The Bias Advantage
09:55 Leaders who adapt well vs freeze
12:47 How AI changes who rises to leadership
14:54 Defining the unconventional leader
15:59 Why algorithmic bias is harder to challenge
22:07 Qualcomm, Philips, Microsoft and never fitting in
23:39 Hiding her identity to survive in the room
25:43 The fish that cannot see their own water
26:53 The new differentiator: systems thinking
32:02 Mistakes in AI era succession planning
40:11 Speed round begins
40:41 Worst leadership advice she has received
42:05 Best career advice she has received
43:11 Advice to her 25 year old self
48:24 What a good career really means

MIT built a job title from scratch because Paul Cheek didn't fit any that existed. Now he's ranking the S&P 500 on AI maturity, and the results may surprise you. We get into why AI literacy has to come before AI strategy, why the best managers may not be the ones who make you feel good, and why human fit still matters in a world full of capable agents. Paul also breaks down the four types of AI adopters he found in corporate America and why some of the loudest companies about AI are doing the least.

Key takeaways:

• Why "no one works here" doesn't mean nobody has a job, it means the nature of work has changed
• The four characteristics Paul uses to evaluate any AI opportunity
• Why AI literacy has to come before AI strategy, governance, or data cleanup
• The real difference between a personal AI swarm and shared agency across a team
• Why good middle management may be the most underrated skill in an AI-native organization
• What Paul's S&P 500 AI maturity research revealed about the gap between what leaders say and what their companies actually do
• Why human fit and self-awareness still matter even as AI absorbs more of the work
• Why the biggest competitive risk isn't AI replacing workers, it's AI-native companies replacing entire organizations

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Cold open: the MIT job that didn't exist
01:11 Introducing Paul Cheek and the book's premise
02:16 Paul's early years and entrepreneurial roots
04:50 Becoming MIT's first hacker in residence
07:04 The real success rate of startups
10:43 Why the unemployed are learning AI fastest
13:42 What Paul brings to the classroom that a PhD doesn't
16:40 Boards, risk, and the risk of not using AI
19:32 Reinventing work instead of automating the cow paths
20:22 Why AI actors demand organizational redesign
22:13 Adjusting the bar for AI agents versus humans
23:13 The $225 million simulation and the phishing twist
25:24 From doing the toil to designing the intent
27:05 The four characteristics for spotting real AI opportunities
29:48 Why AI literacy must come before AI strategy
33:13 Automation versus real transformation
34:08 The real threat: AI-native firms replacing others in the market
36:07 Personal swarm versus shared agency
39:22 Why human fit still matters in an AI economy
43:40 Governance as the number one human role
46:35 Managing a fleet of agents versus managing people
47:36 Why good middle management is the most underrated skill
55:09 Where friction should disappear, and where it shouldn't
62:00 Rating the S&P 500 on AI maturity
69:23 What boards get wrong about AI literacy
73:35 Short-term ROI thinking versus scalable intelligence
78:11 Speed round with Paul Cheek

Seventy-three seconds after launch, the warning that could have stopped the Challenger disaster had already been softened beyond recognition. In this solo episode, I break down why hierarchy filters truth out of organizations long before anyone lies, drawing on research into organizational silence, psychological safety, and the Nokia collapse. I share five specific practices, what I call the architecture of candor, for building a system that actually surfaces bad news before it's too late.

Key takeaways:

• Organizational silence is structural, not a character flaw
• Voice and silence are distinct behaviors, not opposites
• Fear and futility both suppress speaking up
• Implicit voice theories shape what people think is safe to say
• The Nokia decline was driven by a fear cycle, not one bad decision
• Psychological safety predicts learning behavior more than team competence
• Silence has a measurable link to employee burnout
• Boards often inherit a picture that's been filtered twice
• Five concrete practices build candor into decision-making
• Pre-mortems surface risk before launch, not after failure

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Intro to Fit Happens
00:18 The Challenger disaster and the filtered warning
01:01 The question before we get into it
01:13 What happened the night before launch
02:17 Watching the launch as a kid
03:19 A Stanford case study on decision making
04:13 The architecture of silence, not a character flaw
05:21 Organizational silence, Morrison and Milliken
06:21 A leader's story from this weekend
06:50 Psychological safety and its research base
07:48 Voice and silence are not opposites
08:41 What reference checks really reveal
09:10 Mechanism one, fear
10:07 Mechanism two, futility
11:18 Mechanism three, implicit voice theories
12:41 Mechanism four, pressure flowing the wrong way
13:49 Mechanism five, group-level normalization
14:29 What this actually costs
15:52 The board's blindspot problem
17:22 Building the architecture of candor
18:21 Move two, build dissent into decisions
18:50 Move three, run a pre-mortem
20:11 Move four, change the speaking order
21:08 Move five, ask sharper skip-level questions
22:11 The board question to ask next meeting
22:22 A challenge for the next 24 hours
23:10 Silence is the system, not the absence of one

He traded Silicon Valley for the Andes and built a life around a completely different definition of leadership. In this episode, I talk with Terry Cumes, CEO of Wilkatika Resorts in Peru's Sacred Valley and author of the new book Special Guests which explores leaving a career in education technology to run his family's wellness retreat full time. We dig into cross-cultural leadership, building community far from home, and why executive coaching and hospitality have more in common than people think.

Key takeaways:

• Why Terry unlearned much of his business school training to lead a Quechua-speaking team
• What actually motivates loyalty in a multi-generational family business
• How a strong sense of place supports deep personal work
• The difference between clarity, authenticity, and vulnerability in leadership
• Why "less efforting" can be a more powerful leadership tool than problem-solving
• How intuition and analysis work together in high-stakes decisions
• What it takes to build community after a major relocation

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Intro to Fit Happens
00:18 Meet Terry Cumes, CEO of Wilkatika
00:46 Leaving Silicon Valley for Peru
02:32 Discovering his hospitality superpower
03:39 Leading a very different workforce
04:22 Unlearning business school lessons
05:13 What translated universally: loyalty
06:49 Building community far from home
09:17 Isolation and practical fixes
10:39 Using travel as an external stimulus
12:23 Why the Sacred Valley was chosen
14:10 What makes a guest transform quickly
15:34 Hospitality and the limits of delegation
17:57 Boundaries in an always-on culture
18:28 His yoga journey and its evolution
21:08 Yoga and mindfulness going mainstream
22:18 Blending intuition with analysis
23:29 How ceremony supports decision-making
25:04 Advice for skeptics of ritual
27:09 Taking the leap without overthinking
32:28 Building a legacy, not opting out
37:32 Bringing wellness retreats to business leaders
40:17 The value of showing up authentically
41:16 Clarity, authenticity, and vulnerability
48:38 Leadership advice that sounds right but isn't
50:23 Unlearning systems and embracing teamwork
52:02 Closing thoughts and where to find Terry

Boards rarely hire the most capable person. They hire the one who feels the safest to defend.

In this solo episode, Jason Baumgarten breaks down signaling theory and what it actually means for how leaders get chosen. He explains why credentials often function less as proof of capability and more as a shortcut decision makers use to reduce risk under uncertainty, and why that shortcut can quietly reward the wrong things. Drawing on real examples from board and CEO searches, Jason unpacks how the exact same person can be seen as "not ready" one month and "highly qualified" the next, with nothing about their judgment or character actually changing.

Key takeaways:

• Leaders are chosen for the signals that make decision makers feel confident, not solely for raw capability
• Costly, hard-to-fake credentials get treated as more trustworthy, even when they don't predict performance
• Qualification is a social judgment, not a fixed, objective property of a person
• Credential inflation is real: what once differentiated a candidate quietly becomes the new minimum
• Ambiguous situations, like board and director selection, lean hardest on signals because outcomes are hard to attribute
• Practical filters for selectors: separate must-haves from nice-to-haves, add direct evidence, audit for structural bias, and make signaling logic explicit

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Cold open: is she qualified or does she just look it?
01:04 Welcome to the episode and the core claim
01:29 The real definition of why leaders get chosen
02:22 What boards actually list as ideal traits
02:50 What decision makers can and can't observe
03:26 Signaling theory explained: cheap vs costly signals
04:32 Qualification as a social judgment, not a fact
04:55 Michael Spence, education, and the Nobel-winning insight
05:13 Why credentials carry outsized influence
06:08 Three practical reasons selectors lean on credentials
07:13 The asymmetrical value of hiring before the credential
07:32 The CEO-before-CEO paradox
08:11 The six-month story: same person, new phone ringing
09:38 Manager to running a 30 billion dollar company
10:07 Moving across contexts: internal star, external unknown
11:16 Ambiguity, attribution, and looking the part
11:44 Why director selection is the hardest case of all
12:10 The two consequences of leaning on signals
13:09 Choosing for explainability, not just capability
13:31 Credential inflation and the chief AI officer era
14:33 Overinvesting in credentials when the return exceeds the value
15:16 The subtler cost: chasing signal instead of substance
16:13 Where credentials genuinely helped Jason
16:40 Why we underrate failure as a signal
17:04 What the best selectors do differently
17:49 Five practical fixes for leadership selection
19:48 What this means if you're the one being evaluated
20:24 Legitimacy is constructed socially, not just earned
20:57 The closing question every organization should ask

He spent two decades at the frontier of tech. Then he chose a 177-year-old railroad instead.

In this episode, I talk with Krishna Iyer, head of software engineering at BNSF, a Berkshire Hathaway company. Krishna spent years building enterprise software at Microsoft, scaling consumer products at Amazon's Kindle, and working at the edge of generative AI at AWS, before deciding the biggest opportunity wasn't in another tech company. It was in applying AI to a foundational industry the world can't live without: freight rail. We talk about how he thinks about career decisions in decades, not years, why intellectual humility matters more than expertise right now, and what parenting has taught him about growth. This conversation covers executive search themes around fit, timing, and how leaders evaluate the right career move, even when it looks like a detour to everyone else.

Key Takeaways:

- Why Krishna compares AI's impact to the arrival of electricity
- The "power plant vs. transmission lines vs. appliances" framework for thinking about where to build in AI
- Why freight rail is one of the most consequential, least understood industries in the country
- How to know when it's time to stop iterating and pick a direction
- The "2,000 coins" analogy for thinking about time and weekly output
- Why "just delegate" is bad leadership advice, and what situational leadership looks like instead
- The "heart, tree, star" exercise for understanding what actually motivates someone
- How three 90-minute blocks a day can change your output
- Why intellectual humility is now a "need to have," not a "nice to have"

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Introduction to Fit Happens
00:38 The Fit Happens Thought Experiment
01:30 Krishna's Path From India to Microsoft
03:16 Moving to Amazon and Kindle
04:03 Why AI Is Like Electricity
05:16 Power Plants, Transmission Lines, Appliances
05:50 Choosing BNSF and Berkshire
06:06 What Fit Really Means to Krishna
06:31 What Most People Don't Know About Rail
07:53 Reactions From His Tech World
09:19 What Transfers Across Careers
12:14 The 10,000 Hours Philosophy
13:32 Unlearning Tech Instincts at BNSF
15:41 Failing at the Right Goal
16:22 Advice for Feeling Stuck
18:16 The Oxen in the Field Story
19:39 The Power of Doubling Your List
20:06 Finding Your Best Work Ever
22:35 Helping Your Team Find Flow
24:08 The Heart, Tree, Star Exercise
25:11 Three 90-Minute Windows a Day
26:41 Deep Work and the 13-Minute Reset
29:07 Waking Early for Deep Work
30:18 Peter Drucker on Deadwood
31:12 The 2,000 Coins Analogy
34:15 What Parenting Teaches About Fit
36:10 Speed Round Begins
37:39 Leadership Advice That's Actually Bad
39:05 Balancing Delegation and Depth
40:27 Best Career Advice Krishna Got
42:10 One Piece of Advice for His 25-Year-Old Self
42:41 What Skill Becomes Obsolete With AI
44:09 Closing Thoughts on Freight and Fit

A new CEO's hundred day plan sounds smart. The research says it's mostly fiction.

In this solo episode, Jason Baumgarten traces the hundred day myth back to its real origin (FDR's 1933 Congress, not leadership research) and explains why boards keep asking a question that sets new leaders up to fail. Drawing on research into CEO transitions, he lays out five separate "clocks" (strategic, socialization, team, cultural, and performance) that all move at different speeds, and why compressing them into one sprint produces theatrical reorgs, rushed strategy, and boards misjudging leaders in both directions.

Key takeaways:

• The hundred day plan comes from politics, not leadership research
• Shareholders reported it takes 19 months for a CEO's decisions to show up in share price
• A leader's first year of results is often driven by their predecessor's work, not their own
• Five clocks run at different speeds: strategic, socialization, team, cultural, and performance
• Onboarding language wrongly frames a CEO as someone who should assimilate into the system
• Boards should separate diagnostic milestones from impact milestones
• Leaders should replace urgency with sequencing, and negotiate time horizons explicitly with the board
• Real transitions take closer to two to three years, not 100 days

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Intro: Fit Happens
00:17 The real timeline for CEO impact
01:06 Where the hundred day myth started
02:06 Why the myth stuck around
03:26 What the research actually shows
04:36 19 months, 14 months, 9 months
05:13 Context shapes every transition
05:50 Five different clocks explained
06:12 The strategic clock
06:41 The socialization clock
07:08 The team clock
07:34 The cultural clock
07:58 The performance clock
08:38 How the myth changes behavior
09:44 The psychological cost for leaders
10:18 The problem with "onboarding"
12:14 A better model: phases, not deadlines
14:03 Advice for boards
15:06 Advice for leaders
16:28 What crisis actually compresses
16:53 The real question to ask instead

Loneliness and bad fit can feel identical, but they are not the same thing at all. Lexy Franklin, founder of Sidebar and former Facebook product leader behind Messenger Kids, joins Jason to unpack why the best founders fail constantly, why groups outperform individual genius, and how AI is reshaping both hiring and leadership. Lexy shares the failure-mourning ritual he uses after a product flops, the "9010 rule" for navigating uncharted leadership territory, and why chasing scale before you have something people love is a mistake. A conversation about fit, resilience, and building real community at work.

Key takeaways:

• Loneliness can be a positive signal that you're on the right path, not a sign you're in the wrong role
• Give yourself a fixed window (Lexy uses two days) to mourn a failure, then extract the lesson and move on
• Group intelligence often outperforms individual intelligence, especially navigating uncharted problems
• Snap judgments about whether an employee is "good" are often wrong; context and fit matter more than first impressions
• Scaling questions are premature until you have something people already love
• The best leaders and CEOs actively seek out more advice, not less
• AI is collapsing the need for "context bearers," the people whose job is purely to relay information across an org

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: jason@fithappens.fm

00:00 Cold Open
00:17 Welcome Lexy Franklin
01:04 Childhood Lessons From His Dad
02:05 The Common Thread In His Career
03:11 Life At Facebook
04:05 Building Messenger Kids
07:59 Leaving Facebook To Start Sidebar
09:26 Why Peer Groups Beat Solo Learning
11:07 Building An AI Interview Trainer
12:20 Fixing Hiring From The Company Side
14:07 Why Humans Crave Community
15:55 Emotional Intelligence Lessons
17:12 Following People Versus Following Ideas
19:04 The Myth Of The Overnight CEO
21:26 Finding Your Superpower
25:12 His Dad Calls Him The Best Failure
27:15 Constant Failure At Facebook
29:02 The Two Day Mourning Rule
33:14 Weekly Failure Journaling
36:08 The 9010 Rule Of Leadership
40:12 Rejecting Hustle Culture
43:17 Loneliness Versus Bad Fit
48:59 Getting Ground Truth From Employees
52:41 Speed Round Begins
59:33 AI And The Death Of Context Bearers
61:02 Moby Dick And Finding Your Line
64:02 Where To Find Lexy
65:21 Borrow My Confidence Closing

One stock price swing can turn the same leader from visionary genius to reckless failure overnight. In this solo episode, I break down the halo effect, the century-old psychology finding that one strong impression bleeds into every other judgment we make about a person, and outcome bias, our tendency to judge decisions by how they turned out rather than whether they were smart at the time. I walk through Edward Thorndike's original research, Phil Rosenzweig's work on corporate storytelling, and what this means for how we evaluate leaders, candidates, and even ourselves.

Key takeaways:

• The halo effect makes one positive trait distort our judgment of everything else about a person
• Business narratives often reverse-engineer explanations from results, not the other way around
• Outcome bias means we judge decisions by results, not by the quality of thinking behind them
• A resume is a list of outcomes, not evidence of causality
• Great reference checks dig into process and decisions, not just how things turned out
• A good decision can produce a bad outcome, and a bad decision can get lucky
• Ask about losses and failures, not just wins, to really understand how someone operates
• Treat a dazzling or damning narrative as a hypothesis, not a verdict

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm

00:00 Two leaders, same person, different timing
01:52 Introducing the halo effect
02:08 Thorndike's original 1920s research
03:19 How one trait bleeds into every judgment
04:00 Rosenzweig and the Halo Effect book
05:41 How business narratives get rewritten
07:01 Why this matters in executive search
08:12 Experience versus expertise
09:07 When good leaders get blamed for bad luck
10:01 Why reference calls fall into this trap
11:15 How to ask better reference questions
12:11 Baron and Hershey's outcome bias research
13:25 Judging decisions by results alone
14:09 Four ways to train past the bias
14:31 Tip one: separate decision from outcome
14:52 Tip two: ask about the losses
16:06 Tip three: dig into the process
16:43 Tip four: discount the narrative
19:23 This week's question for you

Your best salesperson just got promoted to manager. Here's why that's often a mistake.

In this solo episode, Jason Baumgarten unpacks the Peter Principle, the half-century-old idea that people in a hierarchy rise to their level of incompetence, and the 2019 study that proved it's not just a joke. Drawing on research covering tens of thousands of salespeople across more than 130 companies, Jason breaks down why raw performance predicts promotion but not management success, what signal actually does predict good leadership, and what companies and individuals can do to stop rewarding talent with the wrong job.

Key takeaways:

• The Peter Principle started as satire in 1969 and was later tested with real data
• Companies reliably promote their best individual performers into management
• Higher individual sales performance actually predicted worse performance as a manager
• Teamwork and lead-sharing, not solo output, predicted who became a good manager
• Promotion works as both a matching decision and a motivational carrot, and those two goals conflict
• Dual-career ladders let top performers advance without moving into management
• Rewards should be separated from roles: pay and recognition for performance, promotion for leadership fit
• Succession decisions should be judged against the next job, not the one someone already mastered
• Individuals should ask whether they want the job itself or just the recognition that comes with it

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm

00:00 Introduction to Fit Happens
00:17 The best salesperson gets promoted
01:08 Why companies do this on purpose
01:40 The Peter Principle, explained
02:22 The famous punchline
03:10 Testing the joke with real data
03:36 The 2019 study, explained
04:06 Do companies promote their best sellers?
04:46 The harder second question
05:13 Star sellers, weaker managers
06:21 The signal that actually predicts success
07:06 Why smart companies keep doing this
07:42 Promotion as matching versus motivation
08:21 The carrot problem in sales teams
09:33 Beyond sales: engineers, teachers, partners
10:24 Craft expertise versus leadership expertise
11:20 Fix one: build a dual ladder
12:24 Fix two: separate reward from role
12:57 Fix three: assess for the next job
13:44 Same title, different job
14:03 Signals that predict promotability
14:29 Advice if you're offered the promotion
15:17 Promotion as trophy versus match
15:48 The one question to ask yourself
16:21 Closing thoughts

If time is your most valuable asset, who's actually deciding how yours gets spent?

In this solo episode, I unpack a paradox I see constantly in the leaders I work with: real authority over strategy and budget, almost none over their own calendar. I introduce the idea of designed time versus default time, walk through the three traps that quietly steal a leader's week, and give you a simple three-question audit for finding out how much control you actually have.

Key Takeaways:

• Positional power doesn't guarantee temporal power
• Borrowed urgency lets other people's priorities crowd out your own
• Role drift can quietly rewrite your job description
• Psychological handcuffs (compensation, fear, prestige) keep you in meetings you don't need
• A three-question audit reveals how much control you actually have
• Reclaiming your time isn't rebellion, it's clarity

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm

00:00 Cold Open & The Core Question
00:52 The 4,000 Weeks Reminder
02:33 Fit as Authority Over Time
02:54 Designed Time vs Default Time
04:24 The CEO Who Was Quietly Depleted
07:25 Where Time Authority Breaks Down
07:59 Trap 1: Borrowed Urgency
08:50 Trap 2: Role Drift
09:35 Trap 3: Psychological Handcuffs
10:20 Power, Not Balance
11:23 The Time Authority Test
13:15 Renegotiating Your Role
14:25 Taking the System Home
15:20 Closing Thought

What if the same leader, running the same playbook, could fail in one place and win big in another?

That's the question at the heart of my conversation with Jim Citrin, who has spent three decades at the top of the executive search world placing and advising CEOs. Jim is also one of my mentors, so we go past the usual hiring talk into what actually decides whether a leader succeeds: fit. We trace the Bill Perez story across Nike and Wrigley, why the surprising hire is so often the right one, and how aspiring leaders break the permission paradox.

• Why there's no single mold for a great leader
• The Bill Perez A/B test: same playbook, opposite outcomes
• How the New York Times hired against the spec and 20x'd its value
• The permission paradox and how to actually break it
• Why roughly 80% of CEO appointments are internal promotions
• How leaders get isolated from the truth, and how the best stay grounded
• How to tell a good failure from a disqualifying one

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm

00:00 Intro
00:17 Meet Jim Citrin
01:04 Jim's circuitous path to search
03:13 A leadership belief Jim flipped on
04:42 Founders vs. the curated path to CEO
07:48 Bill Perez: the A/B test of fit
11:41 Why the surprising hire often fits
12:40 How the NYT hired against the spec
16:04 Why the CEO job got harder
19:05 The permission paradox
22:55 The career paradox that started us
25:47 Emperor's New Clothes: losing the truth
31:02 Six success factors, 25 years later
33:17 The resume trick that exposes bias
35:49 Good failure vs. bad failure
41:20 A question Jim asks himself daily
43:18 Speed round: books, advice, flow

What if the thing quietly undermining your team's performance isn't strategy, compensation, or culture decks, but whether people feel like they matter?

Jennifer Wallace is a journalist and award-winning author of Never Enough and her newest book, Mattering. She spent years studying what allows people — children, employees, leaders — to thrive under pressure, and her answer centers on a deceptively simple idea: that humans have a fundamental need not just to feel valued, but to add value. In this conversation, Jennifer and I explore how that need shapes everything from parenting to executive leadership to the way companies hire and retain their best people.

Jennifer walks us through the SAID Framework, her research-backed model built around four ingredients that make people feel like they genuinely matter: feeling Significant, Appreciated, Invested in, and Depended on. We talk about why company recognition programs so often miss the mark, what the Platinum Rule means for leaders trying to build real attunement, and why the difference between belonging and mattering is more consequential than most people realize.

We also get into the harder questions: What happens when leaders are so busy filling everyone else's bucket that their own runs dry? What does AI stand to do to our fundamental sense of usefulness, and what might it give back? And when does a culture of mattering become so comfortable that it stops stretching people?

Key Takeaways:

• Mattering means feeling valued and having the opportunity to add value, you need both
• The SAID Framework (Significant, Appreciated, Invested in, Depended on) gives leaders a practical model for embedding mattering into everyday interactions
• Children raised with unconditional worth — high standards without contingent approval — are more likely to become healthy high achievers, not less
• The "beautiful mess effect" shows that vulnerability during hard transitions actually makes us more trustworthy, not less
• Leaders cannot fill others' buckets if their own sense of mattering is depleted. Self-mattering is a leadership responsibility
• Recognition programs fail when they aren't tuned to the individual. The Platinum Rule (do unto others as they would want) is more powerful than the Golden Rule
• Fit gets you a seat at the table; mattering makes you feel like you're needed there
• Companies like Drury Hotels and David Weekley Homes demonstrate that investing in both fit and mattering produces extraordinary retention and engagement
• AI poses a real risk to our sense of usefulness on a global scale and leaders need to be talking about the "mattering impact" of automation, not just the economic one
• The antidote to a depleted sense of mattering often comes from small, intentional acts: issuing invitations, accepting vulnerability, and practicing the discipline of attunement

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ Email the show here: fithappens.fm

00:00 Introduction & Jennifer's background
01:11 High standards without contingency
02:32 From 60 Minutes to nonfiction writing
05:05 The Never Enough survey: 6,500 parents
06:13 Conditional worth and childhood pressure
09:08 Safe failure in leadership selection
10:19 What the research changed in Jason's parenting
11:51 Conditional worth at work
13:04 What mattering actually means
15:25 Reclaiming agency during transitions
16:18 When leaders struggle to matter to themselves
19:13 Belonging vs. mattering
19:52 The SAID Framework explained
22:19 Why authentic recognition beats automated programs
23:24 Attunement and the Platinum Rule
25:23 Leaders who are afraid to ask questions
26:00 When well-intentioned messaging backfires
27:04 Good intent without attunement
28:20 Drury Hotels: mattering and fit together
29:43 Mattering by Design: operationalizing the framework
31:30 What breaks when fit is missing
32:55 David Weekley Homes and the hiring dinner
34:36 AI and the risk to human usefulness
36:20 AI as bandwidth for human connection
37:25 Speed round begins
37:46 Book recommendation: P.M. Forni
38:25 Worst leadership advice
38:34 Advice to a younger self
38:59 Flow and writing at 4 AM
40:05 The invisible sign
40:39 Closing thoughts

The boardroom is the last line of defense for AI governance — and most directors aren't ready.

Steven Wolfe Pereira has spent 30 years at the intersection of technology, data, and leadership — from building the early internet at Akamai to now running Alpha, the AI governance intelligence firm reshaping how boards and C-suite executives prepare for the agentic era. In this conversation, Jason and Steven explore what real fit looks like across a career, why command-and-control management is obsolete, and how the boardroom must evolve from a quarterly check-in to a continuous governance engine.

Key Takeaways:

• Real fit requires both sides to genuinely want the same thing — not just saying the words.
• The "messy middle" of AI adoption — where humans manage agents and agents manage humans — is where organizations are least prepared.
• Boards that treat technology oversight as a single person's job are practicing irresponsible governance.
• The most durable leadership skill in an AI world is human judgment — and you can't outsource the work that sharpens it.
• Governance is not a risk function — it's a growth accelerant when done with a four-quadrant lens.
• AI agents are becoming the predominant customer in the economy, requiring a fundamentally different approach to marketing and sales.
• Command-and-control management structures will be the first casualties of the agentic enterprise.
• Fit is not static — it evolves with context, and leaders must continually reassess where they belong.
• Your superpower is rarely what you think it is; often it takes another leader to help you see it.
• The judgment layer — the human capacity to evaluate, prioritize, and decide — is the only role AI cannot fully absorb.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ Email the show here: fithappens.fm

00:00 Introduction & Steven's background
01:27 Building Alpha: AI governance for the boardroom
03:33 What real community looks like in a space full of charlatans
05:12 When you're actually in the thick of building with AI
05:47 Career arc: from finance to tech to founder
06:33 Three moments of genuine flow in Steven's career
08:30 Akamai, Danny Lewin & building the early internet
09:10 First C-suite role at Datalogix — acquired by Oracle
09:50 Building Alpha: the third time in flow
10:14 The role that looked right but wasn't — Quantcast
12:00 What is your real superpower?
12:42 Learning from Paul Sagan and Lisa Hook
14:35 Standing on the shoulders of giants
15:30 The immigrant mindset: hustle, grit, and kindness
17:05 Dig your well before you're thirsty
17:55 What kids need to learn in the AI era
19:57 Saltwater, surfing, and learning by doing
20:28 What does a great board director look like?
22:00 The Enron moment AI governance still needs
23:00 The agentic enterprise and continuous governance
24:29 AI and the biggest labor shift since agriculture
25:32 The photocopying problem — AI and deep thinking
27:23 The judgment layer: where humans still belong
29:00 Cognitive labor, Emad Mostaque, and digital labor
30:30 Context engineering and the 2026 buzzword: workflow
31:39 Judgment plus prioritization — the new leadership equation
32:57 The three-layer future organization
34:19 Clarity is more important with more resources, not less
35:30 What leadership capability goes obsolete first?
37:00 The K labor force: builders vs. consumers
38:24 Repotting your superpower for an AI-first world
39:02 The Klarna lesson: intent engineering matters
40:23 Interim roles vs. forever roles in the AI transition
41:00 ChatGPT's one-line summary of Steven's leadership philosophy
41:18 Governance as an accelerant — the two-by-two framework
42:29 AI raises the standard for leadership, not just the toolkit
43:03 Systems-based thinking and Tom Leighton's legacy
44:38 Organizational design is going to change radically
44:53 AI agents as the new customer in the economy
47:16 Inputs vs. outputs — and Ethan Mollick's jagged frontier
48:00 Narrative AI threats and Blackbird AI
48:58 Deepfakes, disinformation, and the coming midterms
49:39 Security, authentication, and the end of passwords
50:31 Speed round begins
50:48 Best leadership advice: focus, focus, focus
50:59 Most important decision: marrying Nuria
51:24 Boardroom skill most directors overestimate
52:03 The book that changed everything: Human and Machine
52:35 Fill in the blank: real career fit happens when...
53:10 Fit is not static — renewing your vows
54:28 Closing reflections

What if the job you have today quietly becomes the job you never agreed to take?

In this solo episode, Jason Baumgarten breaks down one of the most underestimated risks facing leaders right now: not job replacement, but job transformation. Drawing on history, academic research, and real examples from his work in executive search, Jason explains how AI and automation are quietly unbundling roles from the inside out — and why your calendar tells more truth than your job description. He introduces a practical three-column exercise to help leaders map what's coming, and challenges every professional to ask not just "is this the right role?" but "is this role becoming what I want?"

Key Takeaways:

• The real AI risk for most leaders isn't replacement — it's being left with the parts of your job you don't enjoy
• Job titles stay fixed while the substance of work underneath them changes dramatically
• The Luddites weren't anti-technology — they were reacting to the loss of craft, dignity, and meaning in their work
• AI doesn't just automate tasks; it codifies tacit knowledge from your best people and distributes it to everyone
• The most valuable future leaders will be defined by discernment — knowing when something is wrong, naive, or just buzzwords
• Careers drift out of fit gradually and then suddenly, much like Hemingway's description of bankruptcy
• Boards and hiring teams often define the next leader by the last job — a costly misread of what the role is becoming
• Generic competency models ("strategic, collaborative, transformational") fail because they don't tell you what a leader will actually be doing
• McKinsey research confirms this wave of AI disruption hits knowledge work — not just factories and call centers
• The three-column exercise: map what gets automated, what becomes more valuable, and what's left over — then ask if you want that job

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: fithappens.fm

00:00 Introduction & the AI fear no one talks about
 01:45 What "the composition of work" really means
 04:10 The job title stays — the job underneath changes
 06:30 The real story of the Luddites
 09:00 Unbundling roles: what gets automated, what disappears
 11:20 Why careers drift out of fit without warning
 13:00 Work happens in verbs, not nouns
 15:10 MIT research: task exposure and automation
 17:30 If your distinctive strength gets automated
 19:00 Generative AI: utopian vs. apocalyptic narratives
 21:15 AI studies on customer support productivity
 23:40 Tacit knowledge, bottled and distributed
 26:00 What "best" means for leaders going forward
 28:20 Hemingway, bankruptcy, and career drift
 30:00 The executive whose strength became a trap
 34:00 Succession: hiring for the last job vs. the next one
 37:10 Why generic competency models fail
 39:30 McKinsey on AI and knowledge work
 41:45 Discernment: the skill that will matter most
 44:00 The electricity factory analogy
 46:30 How to redesign your work, not just your tools
 48:00 The residue question: what's left, do you want it?
 50:20 Executive search and evaluating AI fluency
 53:00 Efficiency is not effectiveness
 55:30 Your calendar is closer to the truth
 57:00 The three-column exercise explained
 61:00 Column one, two, and three — what each means
 63:30 Closing: find the gradual before the sudden

The investors closest to the best founders have a front-row seat to what great fit really looks like.

In this episode of Fit Happens, I sit down with Laela Sturdy, Managing Partner at CapitalG — Alphabet's growth investment fund — and one of the most thoughtful voices on leadership fit I've encountered. Laela has spent 20 years inside Google and Alphabet and 13 years partnering with hyper-growth companies like CrowdStrike, Duolingo, UiPath, and Lovable. She brings a rare investor's lens to the question at the heart of this show: does the right person in the right context actually change outcomes? Her answer is an emphatic yes — and she has the portfolio to prove it.

Key Takeaways:

• The biggest context failure Laela sees isn't skill — it's growth rate. Leaders built for stability often struggle when dropped into hyper-growth, and vice versa.
• The single trait that predicts founder success more than any credential: pace of learning. The best founders she's backed look radically different as CEOs just one year in.
• "Spikiness" over well-roundedness. When building a venture capital team — or any high-stakes team — one world-class skill beats a collection of average ones every time.
• Founders rarely get honest feedback. The systems around them are set up to idealize, not challenge. Laela shares how she earns the trust to hold up the mirror.
• The board is not the operator. Laela describes how the healthiest founder-board relationships work — and where executive coaching for leaders fits into that dynamic.
• Talent you should have attracted before you could. Laela looks for founders who've pulled exceptional people before it made rational sense — a signal of leadership magnetism.
• Flow is findable at work. A Harvard basketball player who chased the zone on the court, Laela explains why the intensity of startups replicates that feeling for her professionally.
• Self-reflection is an underused leadership tool. Tracking hiring decisions — including the nos — is one of the most honest feedback loops a leader can build.
• AI-native companies operate differently. Fewer meetings, faster decisions, radical transparency, and a cultural tolerance for public mistakes — Laela describes what she sees on the inside.
• Data intuition over data dependency. Laela pushes back on the "everything must be data-driven" orthodoxy, arguing that the inventors of the future run on pattern recognition and gut as much as dashboards.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: fithappens.fm

00:00 Introduction & Laela Sturdy's background
01:37 How long Laela has been at CapitalG
01:58 Does context really determine leadership success?
02:33 The growth rate as the biggest context failure
04:12 What makes founders good at hyper growth
05:00 Pace of learning: the single most predictive trait
06:44 Fit and the feeling of flow
07:19 Basketball, Harvard, and finding flow at work
09:23 Laela's own bad-fit career experience
09:53 Consulting, 80/20, and the mismatched pace
11:30 How the bad fit led to the perfect fit
12:09 Getting people in the right roles, not just right jobs
12:55 The spikiness principle in team building
15:15 Defining the critical spike before you recruit
16:53 When boards can't agree on what they need
17:09 Success distorts self-awareness
18:29 How Laela holds the mirror up for founders
22:03 Creating safe space: boards, feedback, and trust
22:50 How founder-board relationships really work
25:39 When companies don't reach their potential
26:04 Talent density as an investment signal
27:47 The "one job before they became great" framework
29:33 Betting on unproven talent: what the data shows
33:08 Three rules for better hiring decisions
36:29 Recruiting ruthlessness: outbound talent acquisition
37:27 The question leaders rarely ask themselves
37:43 Self-reflection and tracking your hiring record
39:00 AI as a leadership context shift
39:33 Inside AI-native companies: speed and uncertainty
41:49 What Fortune 100 leaders can learn from AI startups
42:12 Fewer meetings, faster decisions, radical transparency
43:32 Is 80/20 even the right framework anymore?
44:01 AI usage inside high-growth companies
44:45 Being AI-native as a cultural identity
45:59 How AI has changed Laela's own investing process
47:25 Speed round begins
47:33 Favorite book: The Enneagram Guide to Waking Up
48:20 Overrated leadership advice: everything must be data-driven
48:57 Advice to a younger Laela
49:13 Still in flow doing: basketball
49:25 Favorite tech product in 2026: Lovable
49:52 What Laela has built on Lovable
50:24 Closing thoughts and wrap

You have roughly 4,000 weeks. Are you spending them on work that actually deserves them?

In this solo episode, Jason Baumgarten — senior partner and executive search specialist — explores one of the most under-examined questions in leadership: the relationship between fit and time. Drawing on Oliver Burkeman's 4,000 Weeks, decades of executive search experience, and insights from organizational psychology, Jason reframes fit not as a career preference, but as a life decision. If the middle third of your life is going to be spent at work, the fit question becomes urgent.

Key Takeaways:

• Your 4,000 weeks are finite and non-refundable — fit determines whether they convert into performance and meaning, or simply disappear
• Time is the one career resource that is never recoverable; compensation, reputation, and credentials can all be rebuilt
• Work-life balance is a metaphor that misrepresents reality — for most leaders, work is where life happens
• Misfit almost always shows up as a time problem first: weeks fill with the wrong things before anything else signals
• Discretionary effort — what people give because they care, not because they're required to — is unlocked by fit, not mandated by leaders
• The "random Thursday at 10am" test is one of the most honest ways to evaluate whether a role is truly right for you
• Organizations erode discretionary effort through small frictions that signal their people's time isn't respected
• Henry Ford's productivity discovery in 1914 still applies: workers who feel their time is respected produce more
• Fit is the mechanism that converts your weeks into both performance and meaning simultaneously
• A practical "more/less" calendar exercise can help any leader tilt their weeks in the right direction — and those tilts compound

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: fithappens.fm

• (00:00) - Introduction & the 4,000 Weeks premise
• (01:20) - What the book is really about
• (02:45) - Where most of your weeks actually go
• (04:00) - Fit as a life decision, not a career one
• (05:10) - A succession planning moment that never left
• (07:00) - The executive search and the math of a career
• (08:30) - Why time is different from every other career asset
• (10:00) - Bronnie Ware and the top five regrets
• (11:30) - The myth of work-life balance
• (13:15) - How fit maps to how your weeks are used
• (15:00) - The "random Thursday at 10am" test
• (16:45) - Turning down hazard pay — a candidate story
• (18:15) - Fit as the engine of performance and meaning
• (19:30) - Discretionary effort and the generous board member
• (20:45) - Henry Ford, factory hours, and productivity
• (21:45) - The McKinsey bowler hat story
• (23:00) - What derailment really looks like
• (24:15) - Accepting finitude — Burkeman's final argument
• (25:30) - The more/less calendar exercise
• (27:00) - Tilting your weeks and compounding change
• (28:00) - What's coming in the next episode

Dan Gertsacov, CEO of Big Green Egg, has built a career by saying no to money and yes to fit — four times over. In this episode, we dig into his non-linear path from social entrepreneur to Google exec to restaurant industry leader, and how each chapter prepared him for the challenge of revitalizing one of America's most iconic brands. Dan shares the ikigai framework he has used to navigate every major career decision, and why he thinks "be flexible" is the worst advice anyone ever gave him.

Key Takeaways:

1. Fit isn't a single career destination — it's a phase-by-phase discovery that evolves as you grow.
2. The ikigai framework (what you love, what you're great at, what the world needs, what you can get paid to do) is most useful as a recurring reflection tool, not a one-time exercise.
3. The best CEOs aren't the ones who never failed — they're the ones who learned from failure and kept moving.
4. "Be flexible in your job search" is bad advice. Narrow your bullseye to function, location, industry, and culture, then shake the tree.
5. Radical transparency in hiring — sharing your own weaknesses with candidates before they share theirs — creates better fit and saves everyone time.
6. Your greatest strength taken to excess becomes your greatest weakness. Knowing where that line is takes decades.
7. Passion for a category can actually be a liability in a CEO role. Curiosity and objectivity often serve better.
8. Pacing transformation is everything — go too fast and you leave your people behind; go too slow and the market leaves you behind.
9. Depth of network beats breadth. Transactions aren't relationships, and relationships are what actually move careers forward.
10. "Perfect is the enemy of good" — an obsession with perfection crowds out the good you could have built years earlier.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
 Email the show here: fithappens.fm

00:00 Introduction and welcome
00:37 Why Big Green Egg is Dan's perfect fit
02:12 The passion for food — where it started
04:48 Learning 50 cuisines and resetting to 100
05:32 Why the best CEOs have failed spectacularly
06:12 College rejections and the fit you don't expect
09:48 What it takes to identify your North Star early
10:41 The ikigai framework and career fit by phase
16:15 Honest self-reflection as a career tool
18:09 Fit on teams — lessons from managing people
22:56 Radical transparency: being an "11" with your team
27:02 Hiring for fit, not just talent
29:08 Why depth of network beats breadth
31:56 Dig Your Well Before You're Thirsty
35:24 What surprised Dan most stepping into the CEO role
41:12 What surprised him about the day-to-day
43:03 Passion vs. curiosity when selecting a CEO
44:55 Grilling tips from the CEO of Big Green Egg
49:02 Fire, food, and the case for disconnecting
50:53 Speed round: Die With Zero by Bill Perkins
52:05 The worst career advice Dan ever received
54:16 Know thyself: the bullseye career framework
54:55 Advice to his younger self — perfect is the enemy of good
57:04 The five balls of life
58:54 Flow state: cooking classes around the world
1:01:08 The best final question: favorite thing on the Big Green Egg
1:03:44 Closing thoughts

Most executives aren't failing loudly — they're quietly eroding from the inside out.

Nearly a quarter of CEOs report feeling burned out daily. But burnout isn't just a personal problem — it's an organizational risk that degrades judgment, shortens vision, and quietly erodes the very leadership capacity your organization depends on. In this episode, I break down a simple, actionable model for sustainable high performance built on four levers: Capacity, Cadence, Constraints, and Crew. This isn't a wellness conversation. It's a performance conversation.

Key Takeaways:

• Burnout doesn't announce itself — it shows up as reactive decisions, narrowed thinking, and diminished range
• Nearly 25% of CEOs report daily or frequent burnout; almost half report occasional burnout
• Sustainable performance is a system problem, not a willpower problem
• High performers don't do more — they do fewer things better, on purpose
• Your calendar tells the truth about how you're actually leading, not how you intend to lead
• Constraints are not weakness — they are strategic discipline
• Crew design matters: burnout at the top is often an architectural problem, not a personal one
• Distributed pressure is as important as distributed workload
• The 7-Day Reset gives leaders a concrete path to recalibrate without stepping back
• In the C suite, your mind is the asset — protect it like revenue

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: jason@fithappens.fm

What does it really take to find the role you were built for — and lead it at scale?

In this episode of Fit Happens, I sit down with Scott Pulsipher, CEO of Western Governors University, to explore how a former Amazon leader found the most meaningful fit of his career — and what it cost him to get there. Scott opens up about a brutal leadership feedback experience at Amazon that nearly broke his confidence, how that humbling moment became the foundation for his growth as a leader, and why attending a single WGU commencement convinced him this was the mission he'd been preparing for his entire career. We cover what Amazon's culture of customer obsession taught him, why he now hires for motivation over expertise, and what the future of education looks like in an AI-driven world.

Key Takeaways:

• Brutal feedback, delivered well, can be the most important catalyst in a leader's development
• The right fit isn't just about the role — it's about the mission, the context, and the moment
• Customer obsession and process discipline are not opposites; they are multipliers of each other
• Startup CEOs often centralize decision-making in ways that prevent scale — great leaders learn to delegate authority and accountability together
• Hiring for expertise without weighting motivation and people skills produces only a fraction of the intended impact
• Potential, reasoning ability, and beginner's mind often matter more than prior experience at scale
• Executive search and hiring criteria that overweight past experience can systematically exclude the best candidates
• Tech fluency — particularly AI fluency — is becoming table stakes regardless of industry or career path
• The job-to-be-done framework applies to education decisions just as powerfully as to product strategy
• Serving others is not a drain on a leader's energy — it is the fuel

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: fithappens.fm

• (00:00) - Introduction & episode theme
• (00:33) - Scott's welcome
• (00:44) - First job: bookkeeper at 14
• (01:15) - Early career superpower: rapid learning
• (02:26) - Knowing the job to be done
• (03:07) - From Sterling Commerce to Amazon
• (05:00) - The leadership feedback program at Amazon
• (07:00) - Losing confidence — and rebuilding
• (07:52) - What brutal feedback taught Scott
• (08:30) - Seeking the right context to grow
• (10:10) - Becoming a steward, not a star
• (11:55) - Before WGU entered the picture
• (12:20) - Why a commencement changed everything
• (15:00) - Talent is universal — WGU's mission
• (16:00) - WGU explained for the uninitiated
• (16:12) - Competency-based education at scale
• (18:00) - 70,000 graduates a year — and counting
• (19:25) - Unlocking people's full potential
• (20:02) - The graduate counter on the wall
• (20:42) - Amazon's customer obsession lesson
• (21:30) - Student obsession as organizational north star
• (22:45) - Process as a scale enabler, not bureaucracy
• (24:11) - Startup CEOs and process problems
• (24:35) - Delegating decision-making authority
• (27:00) - Autonomy paired with accountability
• (28:10) - Flow states and leadership superpowers
• (28:53) - When Scott finds his flow
• (30:30) - Envisioning future state — the whiteboard moment
• (32:36) - When the leader must evolve with the org
• (33:28) - Board expectations: 40–50% on innovation
• (34:52) - Building the right team
• (35:31) - Shifting from expertise to motivation
• (38:40) - Experience vs. potential in hiring
• (39:12) - Why Scott himself wouldn't have passed traditional criteria
• (41:04) - Potential, beginner's mind, and fit
• (42:13) - What Scott chose to bring from Amazon
• (44:23) - Advice for parents on education and AI
• (44:51) - Job-to-be-done framework for education
• (48:00) - AI fluency as the new table stakes
• (49:15) - Speed round begins
• (49:28) - Leadership advice Scott thinks is actually harmful
• (50:33) - A skill he's changed his mind about
• (51:24) - The biggest surprise of being a CEO
• (51:58) - Book & TV recommendations
• (52:46) - Scott's go-to zone-out hobby
• (53:10) - Closing reflections

Most executives fail not because they lack talent — but because they're solving the wrong problem.

In this solo episode of Fit Happens, I'm breaking down the single most important sentence any executive can write: "I was hired to do X, as measured by Y, while avoiding Z, and by building systems and teams that make it repeatable." Whether you're stepping into a new C-suite role or six months into one, mandate clarity is the difference between performance and misalignment. I walk through a practical framework covering how to define your real mandate (X), understand how success will be judged (Y), navigate organizational third rails (Z), and build systems that make results durable — not dependent on your personal heroics.

Key Takeaways:

1. Most executive failures are a fit problem, not a capability problem.
2. The X — your true mandate — is not a job description; it's the specific problem you were hired to solve, right now.
3. The Y — your scorecard — must be explicitly aligned with your boss or board, not assumed.
4. Distinguish between input metrics you control and output metrics that may be beyond your reach.
5. Every role has third rails (Z) — unwritten rules that can derail you if you don't surface them early.
6. The Kodak story: perceived third rails are often not third rails at all. Probe before assuming.
7. Building a system — not just delivering results — is what makes leadership impact durable.
8. In your first 30 days, prioritize mandate alignment over proving yourself.
9. Ask your hiring authority: "If you could only pick one outcome for me this year, what is it?"
10. Circulate the mandate with your team — if they can't articulate it, alignment hasn't happened yet.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/
Email the show here: fithappens.fm

• (00:00) - Introduction & The Core Question
• (00:23) - Why Executives Solve the Wrong Problem
• (01:11) - Transformation Leader vs. Caretaker
• (01:41) - Performance Is a Fit Problem
• (02:10) - The One Sentence Framework
• (02:31) - X: Defining Your Real Mandate
• (03:35) - Y: How Will Success Be Judged?
• (04:14) - Hard Metrics vs. Soft Metrics
• (05:00) - Input vs. Output Metrics
• (06:33) - The Seattle Office Story
• (08:05) - Z: Third Rails & What Can Go Wrong
• (09:33) - The Kodak Leadership Story
• (10:30) - Probing Assumed Third Rails
• (10:54) - Building the System (Repeat)
• (12:03) - The First 30 Days Approach
• (12:16) - The Mandate Conversation Questions
• (13:16) - Validating With Broader Stakeholders
• (14:07) - Building Systems That Deliver
• (15:01) - Common Ways Executives Get This Wrong
• (15:53) - Your Assignment: Write the Sentence
• (16:09) - Where Fit Happens

She left a dream job at peak success — because she finally discovered what true alignment feels like.

In this episode of Fit Happens, Jason Baumgarten sits down with Kara Nortman, managing partner of Monarch Collective — the only investment platform exclusively focused on women's sports. Kara's career spans Morgan Stanley, IAC, Battery Ventures, Upfront Ventures, and co-founding Angel City Football Club alongside Natalie Portman. She talks candidly about what it took to leave a role she was thriving in to pursue a fit she didn't know she needed, the role of coaching and personality frameworks in her growth, and what she's learned about assessing people across decades of investing.

Key Takeaways:

1. True alignment feels different from just being good at your job — and recognizing that gap is a gift.
2. Flow isn't something that arrives; it requires deliberately building the right container of habits and environment.
3. Women often take longer than men to recognize and fully own their natural strengths — and this has real career costs.
4. Using tools like the Enneagram and Human Design can help leaders identify patterns and lead more self-aware teams.
5. The victim, villain, hero framework is a powerful lens for reframing how you respond to difficult circumstances at work.
6. Job crafting works: Kara's decision to write a venture blog in 2004 directly led to her role at IAC.
7. The best hires often have broken resumes and something to prove — perfection on paper can be a red flag.
8. Interviewing is no better than a coin toss even for skilled practitioners — but starts improving when you define what you actually need.
9. Reference calls work best when referencers feel they're helping you succeed with the person, not judging whether to hire them.
10. Partnering well — knowing what you're great at and building complementary teams around it — is the long-term driver of enduring companies.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: fithappens.fm

• (00:00) - Introduction
• (00:43) - First job: Ben & Jerry's
• (02:16) - Defining strengths early in career
• (03:18) - Kara's career overview
• (05:28) - The Women's World Cup moment
• (08:17) - Leaving a dream job for a greater fit
• (11:13) - Flow: building the right container
• (13:30) - Nobody is always in flow
• (14:22) - The jobs that didn't feel right
• (15:55) - Paths to Power & the mailroom principle
• (18:01) - Victim, villain, hero framework
• (19:30) - Enneagram & personality profiling tools
• (21:00) - Blog as job crafting: Battery to IAC
• (22:30) - Incubating Tinder at CitySearch
• (23:30) - Side hustles and what's next
• (25:00) - The loneliness epidemic
• (27:02) - Staying connected outside work identity
• (29:04) - What makes a good assessor of people
• (33:54) - Are you a good picker?
• (34:42) - Why skilled interviewers are still coin tosses
• (35:47) - Blemishes, broken resumes & what they signal
• (37:58) - How to reference the right way
• (39:14) - AI, careers & parenting the next generation
• (43:57) - Rapid fire: five questions
• (49:26) - Sign-off

Most people are winging one of the most important decisions of their lives.

What's the difference between someone who springs out of bed Monday morning and someone who drags themselves there? It's not salary. It's not title. It's fit — and it's backed by over a century of science that most of us are ignoring. In this premiere episode of Fit Happens, Jason Baumgarten breaks down the five levels of job fit, the dark side of getting it wrong, and why the most dangerous hiring tool in business might be your own gut. Drawing on research, real case studies, and two decades of executive search experience, this episode makes the case that fit isn't a feeling — it's a framework.

Key Takeaways

1. Fit operates at five distinct levels: vocation, job, organization, group, and supervisor — and ignoring any one of them is costly.
2. Gallup Research links poor job fit and disengagement to over $1 trillion in annual economic losses.
3. People well-fitted to their roles are 2.5x more productive, 3x more creative, and 90% less likely to leave.
4. The "beer test" — hiring based on personal affinity — is a great predictor of homogeneity, not performance.
5. Person-org fit is the most discussed and most abused dimension of fit assessment.
6. Fit is dynamic, not static — it shifts as roles evolve and personal values mature.
7. Job crafting (task, relationship, and cognitive) gives individuals real agency over their fit.
8. Perceived fit — how you experience belonging — is more predictive of outcomes than objective measures.
9. Chronic misfit leads to resolution, relief, or resignation — and resignation is the silent killer.
10. Sometimes the best fit is someone who makes you uncomfortable, not someone who feels familiar.

Connect with Jason: https://www.linkedin.com/in/jasonbaumgarten/ 
Email the show here: jason@fithappens.fm

• (00:00) - Why fit matters more than salary or title
• (01:10) - Welcome to Fit Happens
• (02:10) - What fit really means — beyond the buzzword
• (03:21) - Frank Parsons and the birth of vocational psychology
• (04:19) - The five levels of fit — overview
• (05:01) - Level 1: Person-vocation fit
• (06:14) - Level 2: Person-job fit
• (07:22) - Level 3 & 4: Organization and group fit
• (08:28) - Level 5: Person-supervisor fit
• (09:37) - How many levels did you actually assess?
• (10:11) - Dark side #1 — the beer test
• (11:39) - Dark side #2 — resignation and silent disengagement
• (13:32) - Dark side #3 — fit as an excuse
• (14:45) - Fit is not something you find — it's something you build
• (15:15) - CEO case study: when the role outgrows the leader
• (16:11) - Job crafting: three forms
• (17:19) - When crafting has limits
• (17:48) - Five key takeaways
• (19:09) - The Fit Happens thesis