Beyond the Expert Call: How Exact Insight Is Redefining Private Equity Diligence

Private equity firms have long relied on expert calls to pressure-test investment theses, understand niche markets, and evaluate management claims. But as deal cycles accelerate and markets become more volatile, traditional expert network models are showing their limits. According to Justin Severidt, Partner at Exact Insight, the future of diligence lies not in expert opinions alone, but in combining expert insight with verified quantitative validation.

That model is at the center of Exact Insight’s offering: a proprietary cross-industry panel of subject-matter experts with a reported 95% qualification rate, built specifically for market research and pre-deal intelligence at private equity scale.

Where Traditional Expert Calls Fall Short

Severidt describes expert calls as “foundational” to diligence. Operators and former executives provide context on how industries function, where margins sit, how buying decisions are made, and what competitive dynamics matter.

But they do not necessarily prove that the market behaves the way insiders believe it does.

A common diligence trap emerges when multiple experts share similar bullish narratives. If everyone says pricing power is strong or churn risk is low, teams can mistake consensus for truth. In reality, those views often reflect a shared industry vantage point rather than objective market evidence.

That distinction matters most in hot sectors, where optimism can spread quickly among operators, consultants, and management teams.

The gap, according to Severidt, is validation.

From Anecdotes to Evidence

Exact Insight differentiates itself by pairing expert interviews with fast-turn quantitative studies using verified end-user panels. Instead of stopping at ten expert calls, the firm can rapidly field targeted surveys with 200+ qualified respondents to test whether expert narratives hold up in the market.

This creates a two-step diligence process:

1. Expert calls generate hypotheses

2. Panel research pressure-tests those hypotheses at scale

That sequencing is especially valuable in commercial diligence, where firms need to know whether customers are truly loyal, price tolerant, and sticky—or whether management is overstating retention strength.

As Severidt puts it: expert calls surface narrative; quantitative panels surface reality.

Consumer and Healthcare Are Prime Use Cases

Some sectors are especially prone to expert bias. Consumer-facing industries, for example, often feature executives who overestimate how customers perceive products or brands. Their views remain useful, but they need to be validated against real consumer behavior.

Healthcare presents another compelling application.

A physician expert may flag poor treatment adherence or dissatisfaction with a therapy. But that signal is still anecdotal until measured directly. Exact Insight can recruit verified patients by condition, diagnosis stage, and treatment history to assess adherence patterns and satisfaction levels in statistically meaningful samples.

For investors underwriting healthcare assets, that distinction can materially affect growth assumptions and valuation.

The Biggest Mistakes PE Firms Make

Severidt highlighted two recurring errors in buy-side diligence.

1. Using Research to Confirm Rather Than Test

Deal teams sometimes enter a process with a fixed thesis—strong customer loyalty, durable pricing power, limited competition—and then design research intended to validate it.

That can lead to leading questions, biased sample selection, or selective interpretation of evidence.

In practice, this means diligence becomes a justification exercise rather than a discovery process.

2. Stopping Too Soon

Many firms complete a round of expert calls and move directly into modeling. The deeper validation layer gets cut because of time pressure or cost sensitivity.

Yet the incremental cost of a targeted niche survey is negligible relative to the cost of overpaying for a deal.

As Severidt noted, paying a modest amount upfront for better information is far cheaper than discovering post-close that assumptions were wrong.

AI Is Accelerating the Model—But Not Replacing Humans

Like most research businesses, expert networks are rapidly adopting AI. Exact Insight is using it aggressively for pattern recognition across transcripts, identifying signal versus noise, improving sourcing efficiency, and flagging quality issues in real time.

But Severidt was clear that AI alone is not enough.

The same tools that help research firms source talent also help bad actors fabricate credentials, create fake professional profiles, and mimic expertise. That makes human verification more important, not less.

Exact Insight’s operating model therefore blends AI-driven scale with human oversight across expert screening, participant recruitment, and response validation.

For investment committees demanding defensible diligence, that hybrid approach may become the standard.

The Supply Constraint in Expert Networks

Scaling expert networks is not only a technology challenge—it is also a supply challenge.

In highly specialized markets, the universe of credible experts may be tiny. Repeatedly underpaying or overusing those individuals degrades participation rates over time.

Severidt argues that firms must treat experts as valuable professionals, not interchangeable inputs. Fair compensation, transparent expectations, and a frictionless experience all improve long-term access to scarce expertise.

That philosophy matters most in narrow verticals, where one or two credible operators can materially improve diligence quality.

The Bottom Line

Private equity diligence is moving beyond the era of standalone expert calls. In a market where assumptions must be validated quickly and decisively, the winning model combines qualitative operator insight with real-world quantitative evidence.

Exact Insight is positioning itself squarely in that next generation of diligence infrastructure: faster, more defensible, and built for modern dealmaking.

For sponsors seeking alpha through better underwriting, that evolution may prove less optional than inevitable.