Technology Due Diligence Cases: Assessing Digital Capabilities in M&A

Technology due diligence has become the make-or-break phase in modern M&A transactions. Based on our analysis of 800+ consulting case interviews, roughly 30% of M&A-themed cases now include a technology assessment component — up from under 10% five years ago. Firms like McKinsey, BCG, and Bain increasingly test candidates on their ability to evaluate tech stacks, quantify technical debt, and assess digital maturity as part of deal evaluation.

Why Tech Due Diligence Cases Are Rising

Three forces drive this trend. First, technology now represents 25–40% of enterprise value in non-tech companies, according to industry benchmarks. Second, failed IT integrations account for an estimated 50–70% of M&A synergy shortfalls. Third, consulting firms have expanded their technology and digital practices, bringing tech assessment into mainstream case interviews.

In our experience working with candidates across industries, the most common mistake is treating tech due diligence as a checklist exercise. Interviewers want to see you connect technology findings to business value — a legacy ERP system isn’t just a technical problem, it’s a revenue constraint or a cost multiplier.

The Tech Due Diligence Framework

This framework organizes your assessment across four dimensions that interviewers consistently test:

mindmap
  root((Tech Due Diligence))
    Infrastructure
      Cloud vs On-Premise
      Scalability Limits
      Security Posture
      Disaster Recovery
    Applications
      Core Systems Age
      Technical Debt Level
      Integration Architecture
      Custom vs Off-the-Shelf
    Data & Analytics
      Data Quality
      Analytics Maturity
      AI/ML Readiness
      Data Governance
    Organization
      Tech Talent Depth
      Engineering Culture
      Vendor Dependencies
      IT Spend Efficiency

Assessment Dimensions in Detail

Each dimension maps to specific metrics and red flags that interviewers expect you to probe:

Digital Maturity Scoring Model

Interviewers often ask you to create a scoring framework on the spot. Here is a proven model used across PE and consulting contexts:

Based on our work with technology-focused cases, candidates who present a structured maturity model score significantly higher than those who list findings without a framework.

Common Case Patterns

Technology due diligence cases in consulting interviews typically follow one of three patterns:

Pattern 1: PE Acquisition Target Assessment

The private equity firm is evaluating a mid-market SaaS company. You must assess whether the technology platform can scale from $50M to $200M ARR without a full rebuild. Key questions to structure: Can the architecture handle 4x user growth? What technical debt threatens the growth plan? What is the true cost of the technology roadmap?

Pattern 2: Strategic Acquirer Integration Planning

A Fortune 500 company is acquiring a digital-native competitor. You must estimate IT integration costs and timeline, identify synergy opportunities in shared platforms, and flag risks to the combined technology estate. In our experience, the highest-scoring answers quantify integration costs as a percentage of deal value — typically 5–15% for complex integrations.

Pattern 3: Digital Carve-Out Feasibility

A conglomerate is divesting a business unit. You must determine which technology systems are shared versus standalone, estimate the cost and timeline to create independent IT infrastructure, and identify transitional service agreements needed.

Solving Tech Due Diligence Cases: Step-by-Step

flowchart TD
    A[Receive the Case Prompt] --> B[Clarify: What decision does the diligence inform?]
    B --> C[Identify Scope: Buy-side vs Sell-side]
    C --> D{Which pattern?}
    D -->|PE Target| E[Assess scalability + technical debt]
    D -->|Strategic M&A| F[Estimate integration cost + synergies]
    D -->|Carve-Out| G[Map shared systems + separation cost]
    E --> H[Score digital maturity 1-5]
    F --> H
    G --> H
    H --> I[Quantify: $ impact on deal value]
    I --> J[Recommend: Go / No-Go / Conditional]

Key Metrics Interviewers Expect

When you encounter a tech due diligence case, these metrics demonstrate fluency with the domain:

• IT spend as % of revenue: Benchmark is 3–7% for non-tech companies, 15–25% for tech firms
• Technical debt ratio: Maintenance spend vs. new development — a ratio above 70:30 signals trouble
• Cloud migration %: The share of workloads in cloud vs. on-premise
• Integration cost estimate: Typically $15–80M for mid-market deals, 5–15% of deal value for large transactions
• Time-to-synergy: How long before technology enables the promised cost or revenue synergies — typically 18–36 months

Practice Tips for Interview Day

1. Start with the business question: Never dive into technical details without first asking what strategic decision the diligence supports — acquisition pricing, integration planning, or risk identification
2. Use the maturity model as a scaffold: Score the target across all four dimensions, then focus your deep dive on the lowest-scoring area
3. Quantify everything: Translate technical findings into dollar impacts. “The legacy ERP will cost $30M to replace over 24 months” beats “they have old systems”
4. Flag integration risks early: In our experience, interviewers reward candidates who proactively raise post-merger integration challenges rather than only assessing the target in isolation
5. Connect to deal economics: The strongest answers link technology findings back to the purchase price, synergy assumptions, or hold period return

Key Takeaways

• Technology due diligence cases appear in roughly 30% of M&A-focused consulting interviews and test your ability to connect tech assessment to deal value
• Structure your analysis across four dimensions: infrastructure, applications, data & analytics, and organization
• Use a 1–5 digital maturity scoring model to organize findings and communicate recommendations clearly
• Always quantify technical findings in dollar terms — integration costs, timeline impacts, and synergy implications
• The three main patterns are PE target assessment, strategic acquirer integration, and digital carve-out feasibility
• Connect every finding back to the deal question: Does this technology support or threaten the investment thesis?

Ready to Practice?

Explore technology industry cases in our case library to build your tech fluency, or review M&A case frameworks for the deal evaluation fundamentals. For live practice with technology-themed cases, try our AI Mock Interview — it generates industry-specific scenarios including tech due diligence prompts drawn from real consulting interviews.