How to Run Commercial Due Diligence That Actually Moves Conviction: A Step-by-Step Framework for Investment Professionals

Commercial due diligence has become expensive theatre.

Private equity deal value grew 19% year-over-year in Q2 2024, hitting US$195 billion across 120+ disclosed deals—the highest mark in two years. More deals mean more CDD projects, but here's the problem: 83% of private equity respondents admit their current due diligence practices remain outdated and fall short of expectations.

You're paying research prices for what is essentially access. Expert networks charge £1,000-1,250 per hour, but the real cost is higher—they routinely charge 1.2-1.4x markup through multiple credits per call. You end up paying 20-40% more than expected, and roughly 40% of those calls deliver nothing useful.

The timeline to close letters of intent has stretched from 45-60 days to 60-90 days because buyers want multiple looks at the business. An average of 183 man-days are needed for due diligence. That's analyst capacity you can't get back.

This guide walks you through how to structure commercial due diligence that produces investment-grade intelligence instead of decorated decks—from writing the brief to verifying outputs that can survive IC scrutiny.

Why Traditional CDD Falls Short in 2024

The Commercial Due Diligence Market reached USD 1,971.1 million in 2023 and is projected to hit USD 2,782.3 million by 2031, growing at 9.6% annually. The market is expanding, but the infrastructure hasn't caught up.

The problem isn't lack of data. It's lack of verified, decision-ready intelligence.

Most CDD processes still rely on recycled expert databases, generic surveys, and panel providers who stack margins across long supply chains. You get raw transcripts, unverified responses, and the burden of cleaning, interpreting, and defending the work yourself.

In a flat multiple environment—2024's average total enterprise value/EBITDA multiple sat at 7.2x, unchanged from the previous year—the quality of your primary research directly impacts conviction and sizing decisions. When valuations aren't climbing, you can't afford bad data.

Here's what 40% of survey respondents identified as their top challenge: unexpected gaps in the portfolio company's capabilities, processes, or technology. Those gaps exist because traditional CDD doesn't dig deep enough or verify hard enough.

Step 1: Write a Brief That Ties Every Question to a Decision

Your brief determines everything downstream. A vague brief produces vague intelligence.

Start with the investment hypothesis. What are you trying to prove or disprove? What would change your conviction, sizing, or timing on this deal?

Frame questions around decisions, not curiosities.

Bad question: "What do customers think about the product?"

Good question: "Would customers pay 15% more if the company added feature X, and would that shift their vendor consideration set?"

Your brief should include:

• The specific decision you're trying to make
• The information that would move that decision
• The profile of people who can answer that question (not just "industry experts")
• The threshold for what counts as useful insight

A tight brief takes 10 minutes to write but saves weeks of wasted interviews and survey completes that don't answer the question you actually needed to ask.

Step 2: Define Expert Profiles That Match the Question, Not the Database

Most expert networks pull from recycled databases. You get "custom" experts who are actually shared across your competitors' projects.

Fresh recruitment matters because the right expert for your question probably isn't sitting in a generic database.

If you're evaluating a vertical SaaS company's ability to move upmarket, you don't need "SaaS experts." You need:

• Current users at mid-market companies who've evaluated enterprise alternatives
• Former sales leaders who've managed that transition at comparable companies
• Procurement decision-makers at target enterprise accounts

Write expert profiles that specify:

• Role and seniority
• Company size and segment
• Relevant experience timeframe
• Geographic market if applicable
• Specific knowledge areas that map to your hypothesis

Generic profiles produce generic insights. Precise profiles produce intelligence you can size a position on.

Step 3: Structure Interviews to Extract Signal, Not Noise

Unstructured interviews waste time and produce inconsistent data.

Decision biases are especially prominent during acquisitions because decision makers often want to say "yes." Prior to meaningful due diligence, people construct reasons to support why the acquisition makes sense. This is why structured interviews with verification matter—not just for accuracy, but for removing bias.

Build your interview guide around your hypothesis:

• Lead with context-setting questions to confirm the expert's relevance
• Ask quantifiable questions where possible ("What percentage of customers...?" not "Do customers like...?")
• Probe for specific examples and timeframes
• Cross-reference claims across multiple respondents
• Flag anything that contradicts other sources for follow-up verification

The goal is structured outputs you can compare across interviews, not anecdotal stories that sound compelling but can't be validated.

If you're running the interviews yourself, you're also burning analyst time on scheduling, note-taking, and transcription. That's 14+ hours per month that should be spent on investment decisions, not logistics.

Step 4: Verify Every Claim Before It Reaches Your Memo

Raw interview transcripts and survey responses aren't investment-grade intelligence. They're raw material that still needs verification.

ID verification, cross-referencing, and human validation should be built into the process, not treated as optional extras.

Here's what investment-grade verification looks like:

• ID checks on every respondent to confirm they are who they claim to be
• Cross-referencing key claims across multiple sources
• Human validation of quantitative data points (not just automated fraud filters)
• Flagging inconsistencies or outliers for additional scrutiny
• Documenting confidence levels on each finding

If a claim can't survive IC scrutiny, it shouldn't be in your output. The standard isn't "interesting enough for a slide"—it's "robust enough to size a position."

Deal makers should recognise the importance of primary sources, implement devil's advocacy to challenge assumptions, and restrain hubris whilst appreciating humility. Verification is how you operationalise that.

Step 5: Deliver Finished Intelligence, Not Raw Data

The final output should answer the question in your brief, not create more work.

Finished intelligence means structured, verified, decision-ready insights that can drop straight into your memo or model.

Your output should include:

• Executive summary tied directly to your investment hypothesis
• Key findings with confidence levels and supporting evidence
• Quantified data points where applicable
• Methodology and sample composition
• Flags on any limitations or areas requiring additional work

You should be able to read the output and immediately know whether it increases conviction, decreases conviction, or shifts your view on sizing and timing.

If you're still cleaning data, interpreting vague responses, or trying to reconcile contradictory claims, you haven't received finished intelligence. You've received access.

How to Evaluate Your CDD Provider

Most firms evaluate CDD providers on price per call or price per complete. That's the wrong metric.

The right metric is cost per useful insight—the amount you pay for intelligence that genuinely changes a decision.

When you factor in the 40% useless call rate, the analyst time burned on logistics, and the risk of bad data making it into your IC memo, that £1,000 expert call often costs closer to £2,000 in real economic terms.

Ask potential providers:

• Do you sell access or finished intelligence?
• How do you verify respondent identity and claims?
• What happens if the output doesn't meet expectations—do you still get paid?
• How much analyst time will this require from our team?
• Are experts freshly recruited or pulled from a shared database?

Providers whose economics depend on call volume or survey completes are optimised for throughput, not accuracy. Their incentives aren't aligned with yours.

Look for providers who put skin in the game with performance-based pricing—where they only get paid if the work genuinely enhances your decision.

The Shift From Access to Intelligence

The CDD market is growing because firms recognise they need better primary research. But growth alone doesn't fix broken infrastructure.

The shift you should be making is from buying access to buying finished intelligence:

• From paying per call to paying per useful insight
• From doing verification yourself to receiving verified outputs
• From managing logistics to focusing on decisions
• From recycled experts to fresh, correctly profiled respondents
• From volume metrics to impact metrics

This isn't about spending more on CDD. It's about spending smarter—cutting the middleman tax, protecting analyst time, and ensuring every pound and every hour moves conviction, sizing, or timing on a deal.

When 83% of PE leaders say their due diligence approach has substantial room for improvement, the opportunity isn't incremental. It's structural.

The question is whether you're willing to challenge the access model that's been normalised across the industry, or whether you'll keep paying research prices for logistics work.

What Investment-Grade CDD Actually Requires

Investment-grade commercial due diligence isn't complicated. It just requires discipline at every step:

Write briefs that tie questions to decisions. Define expert profiles that match the question, not the database. Structure interviews to extract comparable, verifiable data. Verify every claim before it reaches your memo. Deliver finished intelligence that answers the question you asked.

The standard should be: can this insight survive IC scrutiny and change how I think about conviction, sizing, or timing?

If the answer is no, you haven't received investment-grade intelligence. You've received decorated access.

The firms that win over the next cycle will be the ones who realise that primary research infrastructure matters as much as analytical talent. You can hire brilliant analysts, but if you're feeding them recycled experts, unverified surveys, and outputs that still require 14 hours of cleaning and interpretation, you're limiting their impact.

Commercial due diligence should make decisions clearer, not create more work. When it does, you know you've moved from access to intelligence.