Value Creation Talent Study · 2026

What predicts success in private equity value creation roles.

The first structured dataset on what actually predicts success in value creation and portfolio operations hiring, deepened with interviews from the operators who do the work and the leaders who hire for it.
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What the study uncovers

The gap in personal traits
Uncover which traits define success compared to what is tested
Overrated candidate credentials
See the most over-valued credentials that result in failed hires
Mismatched assessment methods
Discover which methods PE firms run, yet they trust the least
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66 North American PE firms, from under $1B to over $50B in assets. Answered by the people who own the hire.

Value creation hiring has run on instinct. Now there is data.

The function has become central to how firms generate returns, yet hiring for it still runs on instinct, pedigree, and pattern matching borrowed from investing roles it does not resemble. Leaders already know what makes a great operator. Their hiring process tests for something else, and they know it.

Where the process breaks

Four findings from the data, and what each one implies about the process most firms run.
72%
Run four or more interview rounds
More rounds, not more confidence. Nearly three quarters of firms run four or more interview rounds, and 30% run six or more. Average confidence that the process identifies top performers is still 3.4 out of 5.
70%
Call a real portfolio scenario the most realistic test
Operators trust the work, not the questions. Among firms that run an exercise, seven in ten say a real, anonymized portfolio company scenario is the most realistic format. A hypothetical scores 17%.
29%
Name the same root cause for a failed hire
The failure mode has a name. One root cause is given more often than any other when a value creation hire does not work out, and it points straight back at the credential the market over-values.
1 or 2
Senior operating hires per firm, every two years
Every hire is load-bearing. 53% of firms make just one or two senior operating hires in 24 months, so there is very little room to get one wrong.
What the study recommends
The highest-leverage change is also the cheapest. Replace a round of behavioral interviewing, the tool nobody trusts, with a realistic work sample on a real portfolio company problem. It is the closest thing in the data to a format operators actually believe in. Every finding in the study carries a recommendation like this one.

Inside the study

Six findings, an interview layer, and the complete dataset. Presented as a walkthrough, with the full eighteen-page report behind it.
01
What predicts success
Thirteen traits, ranked by predictive value
What the top five have in common
The single strongest predictor, named
Where the consensus is unanimous
02
The aspiration gap
What firms believe, against what they screen for
Which traits go untested
Which get over-tested in their place
Trait-by-trait gap, all thirteen
03
How firms assess, and what they trust
Ten methods, use rate against trust rate
Why no method has earned the room
Which exercise formats operators rate real
What interview volume is standing in for
04
What the industry over-weights
The most over-weighted credential, named
The hardest attribute to assess in an interview
Root causes of hires that did not work
How the two connect
05
What we heard from operators
Six follow-up interviews, anonymized
The self-reinforcing loop, drawn out
Upstream: the role nobody has defined
Downstream: the contribution nobody can measure
06
What good looks like, and the full data
Two blueprints, with the trade-off on each
Practitioner quotes, unedited
Every figure, unrounded
Methodology and limitations

Sample data

The aspiration gap: traits firms say predict success, against traits they formally screen for.
Trait Says It Predicts Success Formally Screens For It Gap
Bias toward action 73% 55% -18
Speed of trust-building 50% 32% -18
Comfort with ambiguity 55% 52% -3
Executive presence 29% 53% +24
Functional depth 17% 55% +38
Eight further traits, including the second-strongest predictor in the study, in the full report
Five of thirteen traits shown. The full study covers all thirteen, unrounded, in the data appendix. Source: Value Creation Talent Study, Press & Associates.

Why this data holds up

Who answered, how it was run, and what was done to check it.
66 firms
Who Answered
Portfolio operations and value creation leaders at North American PE firms. Most run teams of eight or fewer, and make one or two senior operating hires every two years.
Two phases
How It Ran
Firmographics and assessment practice first. Failure patterns and the contrarian view second, linked by an anonymous per-respondent identifier.
41 of 66
Went Deeper
Carried through to the second phase, which is where the credential and failure data comes from. Every figure carries its own base.
6 interviews
Tested Against Practice
Recorded follow-up conversations with partners and heads of portfolio operations, at firms from the global mega-funds to the mid-market, across three continents.
5 bands
Fund Size Spread
From under $1B to over $50B in AUM, with every band represented. The largest, $1B to $5B, is a third of the sample. Funds over $50B are 14%.
Anonymized
So They Answered Honestly
No firm named, no quote attributed, and responses linked across phases by an anonymous ID. That is why the open-text answers are as direct as they are.

Who this is for

Four seats at the table. Same dataset, different decision.
Managing Partners & Founders
Is our hiring process testing for the things we actually judge this team on?
What the market believes predicts performance
Where belief and process diverge
How peers rate their own confidence
The credential most often over-weighted
COOs & Heads of Portfolio Operations
How does our loop compare to the firms we lose candidates to?
Ten methods, use rate against trust rate
Which exercise formats operators rate real
Interview volume benchmarks
Two blueprints for redesigning the process
Human Capital & Talent
How do I make the case for changing a loop everyone runs and few people rate?
Trait-by-trait screening gaps, all thirteen
What the behavioral interview is missing
Root causes of hires that did not work
Practitioner language for the internal argument
Value Creation & Portfolio Ops Professionals
What am I actually being assessed on, and what is the process failing to see?
What firms say they value most
What they screen for in practice
The attribute hardest to prove in an interview
Why strong operators still get screened out

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The findings as a walkthrough, with the full eighteen-page report and the complete dataset at the end.
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