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#201 - Logan Yonavjak: How to use A.I. to cultivate your companies leaders

Logan Yonavjak runs a leadership analytics platform built on adult developmental psychology, and partway through our call she diagnoses Steve Jobs from across forty years of public record.

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About twenty minutes into the call, Logan Yonavjak does something that, in retrospect, was the whole conversation in a single move. She diagnoses Steve Jobs.

I have spent the last few minutes walking her through the wilderness years — the part of Jobs’s story that the more careful biographies have only recently learned how to handle. Becoming Steve Jobs. Creative Selection. A new book about his twelve years between getting kicked out of Apple at thirty and returning at forty-two. The Macintosh ahead of its time and commercially a failure. NeXT bleeding tens of millions until they killed the hardware division and kept the operating system. Pixar before anyone had figured out the movie business. A one-hit wonder in his thirties, by most fair readings. A man burning through other people’s money on two companies that were going nowhere.

Then Logan, who has spent the prior quarter of an hour explaining the constructs her platform measures, offers this:

“Steve Jobs’ case, I’m inferring from what I’ve heard about him that he maybe wasn’t as relationally intelligent as he was cognitively sophisticated or good at holding systems in his mind. So he would’ve probably scored high on the strategic complexity piece, which is one of our constructs, but lower on the relational intelligence.”

That sentence is the whole platform doing what it does, performed live on a famous case. The Readiness Engine, which Logan and her co-founder Benji Whitehurst built to score founders along six developmental dimensions drawn from adult developmental psychology, just took the most-written-about technology executive of the last fifty years and named the gap. Two construct scores, one diagnostic. The kind of read that, in the era when this work was being done by hand, took a trained scorer hours and a transcript. Logan does it in a sentence, and the sentence sounds correct.

This is the thing The Readiness Engine measures, and it is the thing about leadership that most companies still try to assess by gut. The six constructs that her research team pulled from adult developmental psychology — chosen because they correlate with positive startup outcomes like follow-on rounds and exits — are things like strategic complexity, relational intelligence, emotional resilience, and identity flexibility. That last one is the construct she reaches for when someone else might say coachability. People who score lower on identity flexibility are more wedded to who they currently are. They take feedback as a referendum on themselves rather than as a data point about the work. The platform reads it in their language. Not in what they say about their leadership style on a forced-choice assessment that anyone can game by asking an LLM how an INTJ would answer. In how they actually talk through a forty-five-minute scenario interview. In what they reach for when the questions don’t have right answers.

The kicker is the negative space. Logan’s platform doesn’t just analyze what someone says. It analyzes what’s missing. If you’re hiring for a sales role and across forty-five minutes of conversation about how this candidate handles difficult clients, the word empathy never surfaces — or any concept adjacent to putting themselves in another person’s shoes — that absence is the evaluation. It’s not a judgment. It’s a flag. The person didn’t talk about the thing the role most needs. A consultant could do this in 2010, charging by the hour, and a few of them could do it well. The platform does it across a thousand candidates at the cost of an API call.

I ask her about a case she has actually seen, because it is one thing to score Steve Jobs from across the historical record and another thing to score someone whose company you are trying to scale. She tells me about a founder her platform diagnosed who would have screened well on every traditional measure. He was relationally adept. He built teams that felt safe. People on his team told him hard things, which is harder to engineer than most CEOs will admit. He should have been, by the conventional reading, a model leader.

The platform said something else. Specifically, it said that he lingered too long in the feedback-collection phase. He could absorb data from his team beautifully, and then he could not turn that data into a pivotable decision. The harmony bias — the worry about hurting feelings, the wanting everyone to feel heard — became gravity. He couldn’t get out of it fast enough for a startup that needed to move.

Here is the prescription she gave him, and it is the part I want to dwell on, because it inverts the move most coaching engagements will sell you. She didn’t tell him to round out his weakness. She told him to find a person, fast, who would sit next to him and push him into faster decisions. The harmony bias didn’t get coached out. It got complemented in. The fix wasn’t an intervention; it was an org-chart change. Get a faster operator in the seat next to you, give them the authority to break the listening loop when it has gone on long enough, and let your own complementary strength do its work without dragging the company down with it.

This is where the conversation found its through-line, because it is also the thing the Jobs biographies have been working out for the last decade. The version of Jobs who came back to Apple in 1997 didn’t show up alone. He showed up empowering Jony Ive, who supplied the design taste, and Tony Fadell, who supplied the consumer-hardware instinct, and Ed Catmull, who had been quietly teaching Jobs about management at Pixar for years and who Jobs later said had taught him more about leading creative teams than anyone else. The myth of the singular genius collapses into the more interesting story the moment you start counting the seats around the conference room.

This is also where Logan goes after the myth directly, and I should say I had not expected her to.

“We have this myth in our society of the individuals,” she says. “A lot of the authors that I’ve read that kind of like hinge on this is Ayn Rand. This idea that there are these individually brilliant humans who can solve all the problems on their own and don’t really require team members to succeed. We just live in a very individualistic culture in the US, so we think we have to take it on all by ourselves and solve all the problems alone. I think this is pointing to the fact that you might just not have all of those — we call them constructs — in place. But that’s okay, because if you have the right team members, you can be very successful.”

She is talking about the platform but she is also talking about the country. The lone-genius story is what made the Jobs myth possible in the first place — the genius who terrorized his way to brilliance, who saw what no one else could see, who needed only obedience from the people around him. That story made for a great founder myth. It also predicted, almost perfectly, the version of Jobs who would get kicked out at thirty. The version who came back was the one who had learned to do the opposite — to do the demos for the team rather than make the team perform for him, to give people like Jony and Tony the creative control and treat his own job as the work of making them better.

I should disclose something here, because the essay would be dishonest without it. I am the kind of reader who will read five different biographies of the same person to get past the first one’s mythology. I have done it with Jobs. I have done it with a few others. The thing you find, every time, is the same thing Logan’s framework is reading: the singular brilliance does not produce sustained organizations on its own. The brilliance plus the team complement produces them. The biographies disagree about almost everything except this, and even the ones that want to sell you the lone genius end up, eventually, naming the team. Ed Catmull’s name appears in every honest accounting of why Apple became Apple after 1997. The myth is the marketing. The team is the company.

The Readiness Engine, in this telling, is not really an AI story. It is an old idea — adult developmental psychology has been mapping these levels for decades, and the human-scored transcript work has been going on for years — that became cheap enough to deploy at scale. What used to take a trained scorer days now takes minutes, and what used to cost a consulting engagement now sits inside the hiring stack. The constructs were always there to be measured. The cost of measuring them is what changed.

What it gives you, when it works, is not a judgment. It is a vocabulary. You can look at the founder who is lingering in the feedback loop and name what the gap is — identity flexibility, or the way strategic complexity gets translated into action, or emotional resilience under decision pressure — and you can decide whether to coach for it, or to wait for it to develop naturally over the decadal cycles Logan says these capacities tend to move on, or to hire around it. Often the answer is the third, because the third is the fastest. The other two are not wrong. They are just slower than the company needs.

There is an analogy I tried out on her a few minutes earlier in the call, about muscle-tearing. Strength comes from tearing the muscle and rebuilding it stronger. Emotional maturity, the analogy went, comes from tearing the ego the same way — putting it under enough stress that flight-or-fight stops being your default response to critical feedback, extracting the self from the work so the work can be evaluated honestly. Logan picked it up and ran with it. Most resistance to change, she said, comes from the emotional body. Resistance comes up before change happens, for everybody. The people who have built systems around themselves — a cohort of trusted critics, a coaching practice, a breathing exercise, a meeting ritual where work gets torn apart by peers — are not the people who don’t feel that resistance. They are the people who have gotten used to feeling it, and who know that the resistance is the sign that the change is about to be possible.

The Readiness Engine measures, among its six constructs, whether the person opposite the camera has built those systems. Whether they describe a feedback ritual that actually exists in their week. Whether they reach for the language of growth or the language of defense. Whether, when asked an open-ended question about a hard scenario, they name what they don’t know or perform confidence they haven’t earned. The negative space tells you. The platform reads the negative space at scale. The consultant who used to do this work charged hundreds of dollars an hour to do it once. The platform can do it across an entire org and tell you where the fixed mindsets cluster, which is almost always — Logan said this almost as an aside — at the top.

That part is structural. A fixed-mindset CEO produces a fixed-mindset org. The defensiveness flows down the chart because the people who report to the CEO learn very quickly which version of themselves to bring to the room. The leaders most allergic to feedback are, in Logan’s data, the leaders whose companies most need to change. They are also, almost by definition, the leaders least likely to commission an assessment that might say so. There is an irony there that her platform sits inside but cannot really resolve, except by being commissioned by the next layer up — the board, the PE firm, the growth-equity investor — who has the standing to ask.

When we sign off, what stays with me is not the Jobs diagnosis. It is the founder with the harmony bias, whose prescription was a person rather than a plan. The most generous reading of leadership coaching, even at its best, is that it tries to grow what is not yet there. Logan’s reading, hardened by twenty years of watching capital flow toward companies whose leadership did or didn’t survive contact with growth, is more specific and less polite. Often the gap isn’t yours to close. Often the gap is somebody else’s strength. The work, then, is naming it precisely enough to know who that somebody is.

Six numbers. One Steve Jobs question, asked across forty years of biography and answered, finally, in a vocabulary that tells you what to do.

Guest Bio: Logan Yonavjak

Logan Yonavjak is the Co-Founder and CEO of Readiness Engine, a leadership analytics platform that applies adult developmental psychology and AI to measure the inner operating system of founders and executives. Rising to prominence in the mid-2020s, she became known for bringing rigorous behavioral science to a problem historically left to gut instinct — evaluating whether a leader will perform when complexity and pressure peak. At Readiness Engine, she and co-founder Benji Whitehurst built a platform that assesses six psychological constructs correlated with positive startup outcomes, using transcript analysis of video interviews and existing meeting recordings rather than easily-gamed forced-choice assessments.

Previously, Yonavjak spent nearly two decades directing capital toward impact-driven companies as an investor and sell-side advisor, channeling hundreds of millions of dollars into natural capital, agtech, foodtech, and conservation infrastructure. She co-founded a sell-side advisory firm in that era, advising on capital raises and go-to-market strategy for high-growth impact businesses. Her FINRA Series 63, 65, and SIE certifications — earned in 2021 — reflect the formal finance infrastructure she built beneath that work.

Her academic foundation spans two graduate degrees from Yale: an MBA in Asset Management from Yale School of Management and a Master of Forestry, supplemented by a BA from UNC Chapel Hill. At Yale, she co-founded the Responsible Investing Group, the Low Carbon Business Plan Case Competition, and Restituo Advisors — a student venture focused on low-carbon ETF development — demonstrating an early pattern of institution-building alongside technical study.

As a contributor to Impact Entrepreneur and author of more than eleven publications on environmental finance and conservation investing, she has long worked to translate complex capital allocation frameworks into actionable guidance for practitioners building businesses where financial returns and positive impact are inseparable goals.


Hey,

Thanks for reading this. I mean that. There’s a lot of content out there competing for your attention, and you spent some of it here. I hope it was worth it. Even better, I hope it prompted you to think about something differently enough that you’d share it with someone who’d get something out of it too.

I started this podcast because tactics never stuck with me. What stuck were stories — business biographies, autobiographies, the decisions people made and why they made them. The principle only clicks once you know the story behind it.

So I built the thing I wanted to listen to. Every week I have two conversations with people who build in technology and product. Then I write the essay in my premium newsletter (Taste Maker) to distill the principles and reflect on the narrative — one that puts you inside the conversation, through my eyes. What caught me off guard. What I kept thinking about after we hung up. Where the principle actually lives once you strip away the jargon.

I make this for myself first. If you read the way I do, you’ll want it too.

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PS — If you want to pitch coming on the show, or you know someone I should talk to, shoot me an email at caden@hey.com with "January752" in the subject line so it gets past my filters. I'm not optimizing for famous guests. I'm optimizing for interesting conversations, even from people who aren't LinkedIn influencers.

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