Most founders believe they're good judges of people. Some are. But in a 45-minute interview, gut feel mostly measures chemistry, confidence, and how much the candidate reminds you of yourself. My view: behavioral data should shape every hire you make, and your gut should have to argue with it, not replace it.
The problem with hiring on feel
Interviews reward a specific set of behaviors. Talk easily. Think out loud. Project confidence. Fill silence. Those are real strengths in some seats and close to irrelevant in others.
Anyone who has hired at volume learns that the people who interview best aren't reliably the people who perform best. Some of the strongest performers are quiet in the first conversation. Some of the most impressive talkers are gone in a month.
The pattern in growing companies is the same. They hire someone they loved in the room. Six months later the person is struggling, and everyone is confused because they "seemed perfect." They seemed perfect for a conversation. The job was something else.
What the Predictive Index actually measures
The reason the Predictive Index is useful is that it measures drives, not skills. Four of them:
- Dominance. The drive to influence people and events. High means competitive and in control. Low means cooperative and harmony-seeking.
- Extraversion. The drive for social interaction. High means energized by people and persuasion. Low means focused and private.
- Patience. The drive for consistency. High means a steady, predictable pace. Low means urgency and variety.
- Formality. The drive to conform to rules. High means precise and careful. Low means flexible and improvisational.
There's also a secondary measure of decision style: whether someone decides more on intuition or on objective data.
Those combine into 17 reference profiles that fall into four groups. Analytical profiles are task-focused problem solvers. Social profiles are energized by people and relationships. Stabilizing profiles want structure and process. Persistent profiles work independently and want autonomy.
None of these is better than another. That's the point. A great Guardian in the wrong seat looks like a bad hire. So does a great Maverick.
Seat first, person second
Here's where most teams get PI wrong. They assess the candidate and then decide whether they like the profile. That's gut feel with a chart attached.
Start with the seat instead. Before you post the role, ask what it actually demands:
- Does this person need to push back on customers or keep them calm?
- Is the work mostly with people or mostly heads-down?
- Is it the same process every day, or a new fire every hour?
- Does one mistake cost real money, or is speed worth a few errors?
Answer those, and you've described the behavioral shape of the seat. Now you're comparing the candidate to the job instead of to your own instincts.
That's what "date before you get married" means in hiring. You learn how someone is wired before you commit, not after the first rough quarter.
The move: when the data and your gut disagree
This will happen. You'll love a candidate whose profile doesn't fit the seat, or feel lukewarm about one whose profile is a perfect match.
Don't pick a side. Get specific. Say this to your hiring team: "The data says this person wants variety and autonomy. This seat is 80% repeatable process. What evidence do we have that they'll be happy doing that for two years?"
Sometimes there's a real answer. People can flex outside their natural drives, especially for a season. But flexing costs energy, and a seat that demands constant flexing burns people out. At the end of the day, you want the job to feel natural to the person doing it.
What to do this week
- Pick the seat on your team that has turned over most in the last 2 years.
- Write down what it demands on each of the 4 drives: high, low, or doesn't matter.
- Compare that to the people who have sat in it. You'll usually see the mismatch right away.
Predictive Index
I built the Predictive Index playbook so founders can learn the framework without a certification course. It explains the 4 factors, walks through all 17 reference profiles, and includes a four-question "read this person" check that gives you a rough behavioral read before any formal assessment. It isn't an official PI score, and it isn't meant to be. It's a way to start hiring against the seat instead of against your gut.
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Danny Feldman is a 3× founder and the advisor behind Feldman Advisory. He founded and scaled Stellar to $100M in annual revenue across 15 states, raised $55M+ as a founder, and used AI to double revenue before exiting to private equity. Earlier, he recruited and trained 55,000+ sales reps at Cutco and grew a division from 1 to 58 locations. Operator to operator, he now helps founders of $1M–$20M companies get out of the middle of the business, build the leadership team, and raise capital. Book a 30-minute call →