Private equity and investor due diligence research: sourcing expert calls and primary data
Diligence lives on primary evidence. This guide shows how PE and investor teams combine expert calls with primary data studies, source verified operators fast, and stay compliant.
Private equity and investor due diligence research is the primary evidence gathering that tests a deal thesis before capital is committed, and the strongest programs combine two things: expert calls that provide depth on judgment-heavy questions, and primary data studies that measure how widely a view holds across a target’s buyers. Sourced from verified operators and fielded inside the deal window, that combination lets a committee underwrite a deal on real evidence rather than management’s story.
This guide is written for private equity, growth equity, venture, hedge fund, and corporate development teams. It covers how expert calls and primary data fit together in diligence, how to scope and source them fast, how to handle compliance around conflicts and material non-public information, and how to synthesize everything into an investment view.
Why primary research belongs in diligence
Diligence is a search for reasons to say no, and the best reasons rarely sit in a data room. A data room tells you what a company reports. Primary research tells you what operators and buyers have actually seen: why customers really churn, how procurement decides between vendors, whether a competitor is gaining, and how durable a pricing advantage is. These are the questions that decide deals, and they are exactly the ones public filings and management presentations cannot answer honestly.
Primary diligence research has two modes that work best together. The first is the expert call, a paid, one-on-one conversation with a subject-matter operator, a former executive, a current practitioner, a customer, or a channel partner. The second is the primary data study, typically a survey of a target’s buyers or a broader market sample, used to measure how common a view is rather than to probe it in depth. We cover the mechanics of calls in detail in our guide to expert calls for due diligence; this piece focuses on combining them with primary data into a full program.
The value of either mode depends almost entirely on reaching the right people. A generalist consultant gives you a generalist answer. A former head of sales at the target’s largest competitor, or a procurement lead who has run the exact vendor selection you care about, changes how you underwrite the deal.
How expert calls and primary data fit together
Calls and surveys answer different questions, and using them together is what separates a confident diligence view from an anecdotal one.
| Dimension | Expert calls | Primary data studies |
|---|---|---|
| Best for | Depth, nuance, follow-up on a live hypothesis | Measuring how widely a view holds |
| Output | Rich narrative, insider detail | Quantified signal across a sample |
| Sample size | Five to fifteen for a focused thesis | Dozens to hundreds of verified respondents |
| When in deal | Early, to shape and test the thesis | After, to validate what calls surfaced |
| Risk if used alone | Anecdote mistaken for pattern | Numbers without the why behind them |
The pattern most teams settle on is to run calls early to build and pressure-test the thesis, then field a survey to a verified sample to confirm which findings generalize. If calls suggest a target is losing deals on implementation complexity, a survey of recent buyers can show how widespread that is. The two together give a committee both the story and the numbers. For the quantitative side specifically, our guide to running a market sizing and TAM validation study shows how to keep top-down work honest, and win-loss evidence is covered in our piece on B2B win-loss analysis at enterprise scale.
Scoping diligence research from the decision backward
Sourcing before scoping wastes the one thing a deal team never has: time. Start from the decision, not the topic. Write down the two or three findings that would most change your investment view, then work backward to the questions that would produce them and the profiles that could answer them credibly.
A scope document for diligence usually names the thesis and its sub-questions, the expert profiles you want by role and recency, the mix of perspectives, and the screening criteria and disqualifiers, including anyone too close to the target to speak freely. Balancing perspectives matters as much as expertise. A panel made only of former employees of the target will skew the read. A stronger panel mixes former insiders, direct competitors, customers, and channel partners so no single vantage point dominates.
The craft of running the conversations themselves, from discussion-guide design to probing for specifics, carries over directly from general market research, which is why our guide to expert interviews for market research is a useful companion for anyone building a diligence call program.
Sequencing matters too. In a short deal window, front-load the calls that could kill the thesis quickly. If the deal rests on a single fragile assumption, test that first with the operators best placed to confirm or break it, rather than spreading early calls evenly across every sub-question. A diligence program that finds its deal-breaker in the first three calls has saved the firm far more than one that surfaces it in the last. The same logic applies to the primary data study: field it only once the calls have sharpened the hypothesis worth measuring, so you are not paying to quantify the wrong question.
Sourcing experts fast, with or without a retainer
The traditional model keeps an expert network on an annual retainer and draws down calls against it. That suits firms with steady volume, but deal flow is rarely steady. Retainers sit idle between deals and then feel slow exactly when a live deal needs experts this week. Networks such as GLG and AlphaSights built the category on this model, and it still fits firms with high, predictable call volume.
On-demand platforms invert the economics. You source and pay per project, screen candidates against your scope, and schedule calls without a long contract. The tradeoffs between retainer networks and on-demand models are laid out in our comparisons of the best expert networks for private equity and the best expert networks for hedge funds, and the broader strategic context lives in expert interviews for investment and consulting research.
Speed and verification both matter in a deal context. With an on-demand platform, verified experts can often be screened and scheduled within a few days rather than the one to two weeks a retainer can take, which lets a team run more calls before the decision date. And because an investment committee will weigh these findings, verification of each expert’s identity and experience is not optional. You want certainty that the operator who told you churn is accelerating actually held the role they claim.
Compliance: conflicts, MNPI, and recordkeeping
Expert calls in an investment context carry real compliance obligations. The guidance below reflects standard market practice and is general information, not legal advice. Your firm’s compliance team and counsel set the rules you follow.
The central risk is material non-public information, or MNPI, which a reasonable investor would consider important to a trading or investment decision and which has not been disclosed publicly. Trading on MNPI, or passing it to someone who trades, can be unlawful. The core idea of what makes information material and non-public is described in the SEC’s guidance on material non-public information, and professional conduct standards such as the CFA Institute Code of Ethics set out how practitioners are expected to handle it.
Standard practice on a diligence call includes several safeguards: screening experts for ties to the target before the call, briefing them on the record not to share confidential or non-public information, keeping questions at the level of market dynamics and the expert’s own experience rather than a covered company’s undisclosed numbers, logging who was consulted and on what topic, and escalating anything ambiguous to compliance or counsel before proceeding. If an expert starts to volunteer something that sounds like inside information, interrupt, redirect, and note it. A disciplined process protects the firm, the expert, and the integrity of the finding.
Synthesizing into an investment view
Individual calls and a raw survey are inputs, not conclusions. An investment view comes from reading them together.
Work toward saturation on the qualitative side: keep running calls until new conversations stop producing new insight, often between five and fifteen for a focused thesis, though the questions should drive the number, not a quota. Then synthesize by question, not by call. Line up what every expert said and what the survey showed against each of your must-answer questions, weight views by how close each source sits to the evidence, and separate strong signal from single-source claims. Flag where the evidence converged, where it split, and why.
Translate the read back into the decision: what it means for the thesis, for the model’s key assumptions, and for the risks the investment committee will probe. The output should be short and decision-shaped, not a pile of transcripts. Industry context from sources such as Bain’s Global Private Equity Report and standards from the Institutional Limited Partners Association can help frame what good diligence looks like, but the committee ultimately needs a defensible read of what operators and buyers told you and what it means for the check.
For deals in technical sectors, the audience-mapping discipline in our guide to B2B energy and utilities market research shows how to reach the specialized operators that generalist panels miss, which is often where diligence in industrial and infrastructure deals succeeds or fails.
The takeaway
Primary research is one of the highest-leverage tools in diligence because it produces evidence tied directly to the decision, sourced from people who have actually seen the market work. The discipline is in combining modes and holding the edges: use calls for depth and surveys for breadth, scope from the decision backward, source verified operators fast, hold a clean line on conflicts and MNPI, and synthesize by question into a view the committee can defend. Done well, a focused research program can change how you underwrite a deal inside its timeline.
Frequently asked questions
What is due diligence research in private equity?
Due diligence research is the primary evidence gathering that investors use to test a deal thesis before committing capital. It combines expert calls with operators and customers, primary data studies such as surveys of a target’s buyers, and analysis of market structure, so the deal team can confirm or kill assumptions that public data and management cannot settle.
How do expert calls and primary data studies work together in diligence?
Expert calls give depth and nuance on judgment-heavy questions, such as why customers churn or how procurement really decides, while primary data studies measure how widely a view holds across a buyer population. Many teams use calls to shape hypotheses and a survey to validate them, so the investment committee sees both the story and the numbers behind it.
How fast can investors source experts for a live deal?
With a traditional retainer network, scheduling niche experts can take one to two weeks. With an on-demand platform of verified professionals, deal teams can often screen and schedule relevant operators within a few days, which fits most diligence windows and lets the team run more calls before a decision date.
What are the compliance risks in expert-call diligence?
The central risk is material non-public information, or MNPI, which a reasonable investor would consider important and which has not been disclosed publicly. Standard practice is to screen experts for conflicts, brief them not to share confidential data, keep records of who was consulted, and route anything sensitive to compliance or counsel. This is general guidance, not legal advice.
How many expert calls are enough for a diligence view?
There is no fixed number. Most teams run enough calls to reach saturation, the point where new conversations stop producing new insight, often between five and fifteen for a focused thesis. Balance perspectives across former insiders, competitors, customers, and channel partners so no single view dominates the read.
Source diligence experts and primary data with CleverX
CleverX is an on-demand B2B research platform with more than 8 million verified professionals across 150+ countries, each verified through work email and LinkedIn so the operators, buyers, and former executives behind your diligence are real and current. Deal teams source expert calls and field primary data studies on a pay-as-you-go basis, with results in days rather than weeks. Book a demo with CleverX.