The Commercial Due Diligence Checklist (With Customer Research Integration)

Commercial due diligence checklists are a staple of every PE deal team’s process. They ensure consistency across investments, prevent blind spots, and create institutional knowledge about what to look for in different deal types.

The problem is that most CDD checklists were designed around two pillars — market analysis and management assessment — and treat customer evidence as an afterthought. A typical checklist might include 40 items on market sizing, 30 items on competitive landscape, and exactly one item on customers: “Conduct reference calls with 5-10 customers.”

That single line item represents the weakest link in the entire CDD process. Management-supplied references provide biased data. Five to ten calls provide insufficient sample size. Unstructured reference conversations produce anecdotes, not evidence.

This checklist closes the gap. It integrates independent customer research into every section of the CDD process, transforming customer evidence from a check-the-box exercise into the analytical backbone of the study.

Section 1: Market Analysis

TAM, SAM, and Serviceable Market

• Define total addressable market using at least two independent methodologies (top-down and bottom-up)
• Validate TAM assumptions with customer interviews — do customers confirm the problem definition and willingness to pay?
• Identify the serviceable addressable market based on current product capabilities, geographic reach, and go-to-market coverage
• Assess market growth rate using third-party sources (analyst reports, government data, industry associations)
• Validate growth assumptions with customer evidence — are customers expanding budgets in this category?
• Identify market segmentation relevant to the target — by company size, vertical, geography, use case
• Assess segment-level growth rates and margin profiles
• Identify secular trends driving or constraining market growth (regulatory, technological, demographic)
• Validate trend impact with customer interviews — are customers actually changing behavior in response to these trends?

Market Dynamics

• Assess buyer power — are customers price-sensitive, and is that sensitivity increasing?
• Identify switching costs and assess their durability through customer interviews
• Evaluate market maturity — is this an early, growth, mature, or declining market?
• Assess consolidation trends — is the market fragmenting or consolidating?
• Identify regulatory risks that could constrain or enable growth
• Map the value chain and identify where value is shifting

Section 2: Competitive Landscape

Competitive Set Identification

• Map the competitive landscape as defined by management
• Validate the competitive set through customer interviews — which alternatives did customers evaluate?
• Identify competitors that management does not mention but customers do
• Assess competitive intensity — is competition increasing or decreasing?
• Identify potential new entrants (adjacent players, international competitors, well-funded startups)

Competitive Positioning

• Assess the target’s differentiation through customer perception — what do customers say is unique?
• Evaluate pricing position relative to competitors based on customer evidence
• Map feature/capability gaps identified by customers
• Assess brand strength and awareness in target segments
• Evaluate go-to-market effectiveness relative to competitors
• Identify competitive win/loss patterns — why do customers choose the target over alternatives?
• Assess competitive vulnerability — under what conditions would customers switch?
• Evaluate barriers to competitive entry (technology, data, network effects, regulatory)

Competitive Moat Durability

• Categorize moat sources by durability: proprietary data (strong), integration depth (moderate), brand/relationship (moderate), price (weak)
• Validate moat perception through customer interviews — do customers describe high switching costs?
• Assess whether the moat is strengthening or weakening based on customer evidence
• Identify the most likely competitive threat scenario and its probability

Section 3: Customer Analysis — The Gap in Most Checklists

This section is where most CDD checklists fail. Customer analysis should be the most rigorous section of the entire checklist, because customer behavior is the most direct predictor of revenue durability and growth potential.

Independent Recruitment

• Design a sampling frame that covers the full customer base, not just management-selected references
• Recruit customers independently — without management involvement in selection or outreach
• Ensure sample represents at least 40-60% of total ARR across all segments
• Include churned customers and declined prospects in the sample where possible
• Document recruitment methodology for IC transparency

Sample Design

• Segment the sample by ARR tier (enterprise, mid-market, SMB)
• Segment by customer tenure (less than 1 year, 1-2 years, 3+ years)
• Segment by vertical or industry
• Segment by product line or use case
• Segment by health indicators (expanding, flat, contracting, churned)
• Ensure minimum sample sizes per segment for statistical relevance (typically 8-15 per segment)
• Target total sample of 50-200 interviews depending on deal complexity
• Include geographic diversity if the business operates across regions

Interview Methodology

• Design a structured interview guide that covers all thesis-relevant topics
• Include open-ended questions that allow customers to surface unexpected issues
• Use consistent methodology across all interviews for comparability
• Conduct interviews with decision-makers and end users separately where possible
• Record and transcribe interviews for verbatim analysis
• Apply consistent coding framework to identify patterns across interviews
• Use AI-moderated interviews for scale and consistency where appropriate
• Ensure interviewer independence — no management presence or influence on conversations

Retention and Churn Testing

• Validate reported retention metrics (GRR, NRR, logo churn) against customer evidence
• Identify churn drivers through customer interviews — product gaps, competitive pressure, budget constraints, organizational change
• Assess churn risk by segment — which customer groups are most likely to leave?
• Quantify at-risk ARR based on customer-expressed dissatisfaction or competitive evaluation
• Evaluate switching costs as described by customers — are they increasing or decreasing?
• Assess contract structure impact on retention — are customers staying because of value or because of contract terms?
• Identify leading indicators of churn from customer language and behavior
• Test renewal intent explicitly — “On a scale of 1-10, how likely are you to renew?”
• Probe behind renewal intent scores — what would cause a customer to not renew?

Growth Thesis Testing

• Validate expansion revenue assumptions — are customers planning to buy more?
• Identify expansion triggers — what events or conditions drive additional purchases?
• Assess pricing power — would customers accept a price increase? At what level?
• Test new product concepts — do customers express demand for planned product expansions?
• Validate cross-sell assumptions — would customers buy adjacent products from this vendor?
• Assess new market penetration — do prospects in target segments confirm the pain point?
• Evaluate channel effectiveness — do customers and partners validate the channel strategy?
• Test upsell ceiling — how much more could the average customer spend?

Competitive Positioning Through Customer Lens

• Ask customers to rank the target against competitors on key dimensions
• Identify the target’s strongest competitive advantage as described by customers
• Identify the target’s most significant competitive weakness as described by customers
• Assess competitive displacement risk — are any competitors actively trying to displace the target?
• Evaluate customer perception of the target’s product roadmap and innovation trajectory
• Test brand loyalty — would customers choose the target again if starting from scratch?

NPS and Satisfaction Validation

• Measure NPS through independent interviews, not management-reported surveys
• Decompose NPS by segment — enterprise vs. SMB satisfaction may differ dramatically
• Assess the correlation between stated satisfaction and actual behavior (renewal, expansion, referral)
• Identify the gap between NPS and willingness to recommend — some high-NPS customers are passive
• Probe detractors for specific, actionable feedback

Champion and Stakeholder Mapping

• Identify the executive sponsor at top accounts — how secure is this person’s role?
• Assess multi-threading — how many stakeholders at each account have a relationship with the vendor?
• Evaluate champion dependency risk — would a champion departure trigger churn?
• Map the buying committee — who else influences the renewal decision?
• Assess end-user adoption — is the product used broadly or by a narrow group?

Section 4: Management Assessment

• Evaluate management team depth and capability
• Assess management credibility by comparing their claims against customer evidence
• Identify gaps between management’s narrative and customer perception
• Evaluate the sales organization’s effectiveness through win/loss analysis
• Assess customer success function maturity and impact on retention
• Evaluate product development velocity and roadmap credibility
• Identify key person dependencies and succession risks

Section 5: Growth Validation

Organic Growth

• Validate historical growth drivers — what drove growth in each period?
• Assess growth sustainability — are historical drivers still active?
• Evaluate pipeline quality and conversion rates
• Validate sales cycle assumptions through prospect interviews
• Assess market share trajectory — gaining, holding, or losing?

Inorganic Growth

• Evaluate M&A thesis if applicable — do customers validate the rationale?
• Assess integration risk for planned acquisitions through customer feedback
• Identify potential tuck-in targets that customers mention as complementary

Pricing and Monetization

• Evaluate current pricing model effectiveness
• Assess pricing power through customer willingness-to-pay analysis
• Identify pricing optimization opportunities
• Test customer reaction to potential pricing model changes
• Benchmark pricing against competitors using customer perception data

Section 6: Risk Synthesis

• Compile all identified risks into a probability/impact matrix
• Quantify each risk in ARR terms where possible
• Identify mitigation strategies for each high-priority risk
• Assess aggregate risk profile — does the overall risk level support the deal thesis?
• Map risks to deal structure implications (bid adjustment, earnout, reps and warranties)
• Identify post-close priorities derived from risk findings

Executing the Customer Analysis Section With User Intuition

This checklist’s argument is that Section 3 — Customer Analysis — is the weakest link in standard CDD, because “conduct 5-10 reference calls” substitutes management-curated, statistically thin anecdote for evidence. User Intuition is built to execute that section to the standard the rest of the checklist demands. AI-moderated interviews reach an independent customer sample — recent churns, at-risk accounts, smaller accounts management would never put forward — and apply a consistent structured guide that probes the checklist’s specific items: renewal intent and the reasoning behind it, churn drivers by segment, expansion triggers, competitive exposure, and the champion-dependency questions in the stakeholder-mapping subsection.

The capability that makes this fit a live deal is reach inside the diligence window. The checklist calls for samples of 50-200 interviews covering 40-60% of ARR, a scale that traditional research cannot deliver before the IC date. User Intuition completes that volume in 24 hours at $20 per interview, producing the methodology-documented, segment-coded output that an IC memo can cite as independent validation rather than management-provided reference checks. That is the difference between customer analysis as a checkbox and customer analysis as the analytical backbone the checklist intends. Deal teams that want this as a repeatable commercial due diligence capability can request a demo to see each customer-analysis checklist item mapped onto a concrete interview guide.

How to Use This Checklist

This checklist is designed to be adapted for each deal. Not every item will be relevant to every transaction. The key principles:

Start with the thesis. Before working through the checklist, document the 3-5 investment theses that the deal team wants to validate. Use the checklist items to design a study that tests each thesis.

Weight toward customer evidence. Market analysis and management assessment provide context. Customer evidence provides the predictive signal. Allocate time and resources accordingly.

Maintain independence. The credibility of every customer-related checklist item depends on independent recruitment and unbiased methodology. Shortcuts here undermine the entire study.

Quantify everything. Qualitative findings are valuable, but IC members think in numbers. Every finding should be connected to a dollar amount — ARR at risk, expansion revenue probability-weighted, bid adjustment recommendation.

Close the loop. Every checklist item should connect to a finding, every finding to a risk or opportunity, and every risk or opportunity to a deal implication. The checklist is a means to a decision, not an end in itself.

For teams looking to execute this checklist efficiently, a commercial due diligence platform built around AI-moderated customer research can deliver the customer evidence sections in 24 hours with sample sizes of 50-200 interviews — making comprehensive customer analysis feasible within any deal timeline.