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The Technical Due Diligence Checklist: What Investors Actually Look At Before Writing a Check

Discover the key technical due diligence criteria VCs and angels evaluate, including code quality, scalability, security, team strength, and more.

February 11, 20268 min read
S

Staff Writer

Published February 11, 2026 · Updated September 30, 2026last updated dates

The Technical Due Diligence Checklist: What Investors Actually Look At Before Writing a Check

Introduction

When startups pitch to venture capitalists (VCs) and angel investors, the technical due diligence phase is often a make-or-break moment. Investors want to be confident that the technology underpinning your product is solid, scalable, and secure before they commit millions of dollars. In my experience as a fractional CTO advising startups through over 50 technical due diligence processes, I’ve seen firsthand what triggers investor confidence - and what makes them walk away.

This article breaks down the technical due diligence checklist investors use. I’ll cover what VCs and angels actually look at, from code quality to team capability, security to scalability, and provide an actionable, pass/fail style checklist you can use to prepare. Understanding this checklist and proactively addressing red flags can help your startup secure funding faster and with less friction.

What is Technical Due Diligence?

Technical due diligence (tech DD) is a deep dive investigation into a startup’s technology, infrastructure, and engineering practices. It’s designed to validate that the startup’s product can scale, is technically viable, and aligns with the business goals. Investors want to mitigate risk - technology risk being a major one.

Tech DD typically happens after initial interest from investors and before term sheets are signed. It complements financial and legal due diligence but focuses exclusively on the engineering side.

Key Areas Investors Evaluate in Technical Due Diligence

From my experience, investors focus on several crucial areas during tech DD. Each area has specific questions and pass/fail criteria that can make or break the deal.

1. Code Quality and Test Coverage

Investors want to see clean, maintainable, and well-tested code. Poor code quality directly translates to higher technical debt, slower feature delivery, and increased risk.

  • Readability: Is the codebase well-organized with consistent style and naming conventions?
  • Documentation: Are key modules, APIs, and workflows documented?
  • Test Coverage: Is there automated testing (unit, integration, end-to-end)? What percentage of code is covered?
  • Bug Rate: Are there longstanding bugs or a high volume of critical issues?

Pass criteria: Automated tests covering at least 70% of critical code paths, clear documentation on core components, and a low bug backlog (e.g., fewer than 5 critical bugs open for >30 days).

2. Architecture Scalability

Investors assess whether the technology can handle growth without costly rewrites. Scalability includes both system architecture and deployment readiness.

  • Modularity: Is the system modular and loosely coupled?
  • Cloud-Native: Does it leverage cloud infrastructure for elasticity?
  • Load Handling: Has the product been load tested or stress tested?
  • Data Scaling: Can the data layer scale horizontally or vertically as needed?

Pass criteria: Demonstrable ability to scale to 10x current user load, documented architecture diagrams, and evidence of load testing or planned capacity upgrades.

3. Security Posture and Compliance

Security is non-negotiable, especially for startups handling sensitive data. Investors want to see proactive security measures and compliance readiness.

  • Vulnerability Management: Are regular security scans and penetration tests conducted?
  • Data Encryption: Is data encrypted at rest and in transit?
  • Access Controls: Are role-based access controls (RBAC) implemented?
  • Compliance: Are relevant compliance frameworks (GDPR, HIPAA, SOC 2) understood and addressed?
  • Incident Response: Is there a documented incident response plan?

Pass criteria: No critical unresolved vulnerabilities, encryption enabled for sensitive data, and at least a SOC 2 readiness assessment underway.

4. Team Capability and Bus Factor

Investors evaluate the engineering team’s ability to deliver and sustain the product. They also assess risk around knowledge concentration.

  • Experience: Does the team have relevant technical expertise and startup experience?
  • Roles and Responsibilities: Are roles clearly defined?
  • Bus Factor: Is critical knowledge and access shared among multiple team members?
  • Hiring Plan: Is there a clear roadmap for scaling the team?

Pass criteria: At least two senior engineers with complementary skills, documented knowledge sharing practices, and minimal single points of failure.

5. Technical Debt Ratio

Technical debt slows progress and increases risk. Investors want to gauge how much debt exists and how it’s managed.

  • Debt Identification: Is technical debt tracked in issue management tools?
  • Prioritization: Are debt items prioritized alongside features?
  • Refactoring: Are there regular sprints or cycles dedicated to debt reduction?

Pass criteria: Technical debt accounting for less than 20% of open issues and a documented plan to reduce debt over the next 6-12 months.

6. Infrastructure and DevOps Maturity

Robust infrastructure and mature DevOps practices are critical for reliability and agility.

  • Infrastructure-as-Code: Are environments provisioned and managed with tools like Terraform or CloudFormation?
  • CI/CD Pipelines: Are continuous integration and deployment automated and reliable?
  • Monitoring and Alerting: Are there real-time monitoring and alerting systems in place?
  • Disaster Recovery: Is there a backup and recovery plan?

Pass criteria: Fully automated CI/CD pipelines with 90%+ deployment success rates, Infrastructure-as-Code coverage of at least 80%, and active monitoring with defined SLAs.

7. Data Architecture and Privacy

Data is often the most valuable asset. Investors want to ensure data is well-organized, secure, and compliant.

  • Data Models: Are data schemas well-designed to support product features and analytics?
  • Data Governance: Are data ownership and stewardship defined?
  • Privacy Controls: Are mechanisms in place to respect user privacy and consent?
  • Data Backup and Archival: Are policies for data retention and backups documented?

Pass criteria: Clearly documented data models, GDPR-compliant consent management, and tested backup and archival processes.

Actionable Technical Due Diligence Checklist

Use the following checklist to prepare for your tech DD. Each item includes pass/fail criteria to objectively assess readiness.

  1. Code Quality & Test Coverage
    • Codebase follows consistent style guidelines (Pass/Fail)
    • Automated tests cover >70% of critical code paths (Pass/Fail)
    • Documentation exists for core modules & APIs (Pass/Fail)
    • Bug backlog contains fewer than 5 critical bugs unresolved >30 days (Pass/Fail)
  2. Architecture Scalability
    • Architecture diagrams available and up-to-date (Pass/Fail)
    • System is modular and loosely coupled (Pass/Fail)
    • Load/stress testing performed or planned (Pass/Fail)
    • Cloud-native infrastructure supports elasticity (Pass/Fail)
  3. Security Posture & Compliance
    • Regular security scans and penetration tests performed (Pass/Fail)
    • Data encrypted at rest and in transit (Pass/Fail)
    • Role-based access controls implemented (Pass/Fail)
    • Compliance frameworks (e.g., GDPR, SOC 2) understood and addressed (Pass/Fail)
    • Incident response plan documented (Pass/Fail)
  4. Team Capability & Bus Factor
    • At least two senior engineers with relevant expertise (Pass/Fail)
    • Clear roles and responsibilities documented (Pass/Fail)
    • Knowledge shared to avoid single points of failure (Pass/Fail)
    • Hiring and scaling plan in place (Pass/Fail)
  5. Technical Debt Ratio
    • Technical debt tracked in issue management (Pass/Fail)
    • Debt accounts for less than 20% of open issues (Pass/Fail)
    • Plan exists to reduce technical debt within 6-12 months (Pass/Fail)
  6. Infrastructure & DevOps Maturity
    • Infrastructure-as-Code covers >80% of environments (Pass/Fail)
    • CI/CD pipelines are automated with >90% deployment success (Pass/Fail)
    • Monitoring & alerting systems actively used (Pass/Fail)
    • Disaster recovery and backup plans documented and tested (Pass/Fail)
  7. Data Architecture & Privacy
    • Data models documented and support analytics needs (Pass/Fail)
    • Data governance policies established (Pass/Fail)
    • User privacy and consent mechanisms implemented (Pass/Fail)
    • Backup and archival processes in place and tested (Pass/Fail)

Common Red Flags That Make Investors Walk Away

In my years advising startups and participating in tech DD, here are the most common red flags that cause investors to say no:

  • Lack of Automated Testing: No tests or coverage below 30% signals unmaintainable code.
  • Monolithic, Unscalable Architecture: Systems tightly coupled with no plan for scaling user base.
  • Security Negligence: Critical vulnerabilities unaddressed or no encryption for sensitive data.
  • Single Developer or Founder Dependency: Key knowledge siloed with one person creating bus risk.
  • Technical Debt Ignored: Large backlog of debt with no prioritization or reduction plan.
  • Manual, Fragile Deployments: No CI/CD pipelines and infrastructure changes risk downtime.
  • Poor Documentation: No architecture diagrams, API docs, or onboarding guides.
  • Non-Compliance: Ignoring relevant regulations like GDPR or HIPAA when applicable.

Final Thoughts

Technical due diligence is a critical phase that tests the robustness of your startup’s engineering foundation. In my experience, founders who proactively address the checklist items above stand out as low-risk and high-potential investments. Conversely, ignoring these fundamentals raises red flags that can kill a deal.

Use the checklist as a diagnostic tool to assess your readiness and prioritize improvements. Bringing in experienced technical advisors early can help you navigate these evaluations and present your technology in the best light. The goal is to build confidence that your product can scale, stay secure, and deliver value long-term - making investors eager to write that check.

Remember: Technical due diligence isn’t just about passing a test. It’s about building a sustainable, resilient technology foundation that supports your startup’s growth journey.

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Due DiligenceFundraisingInvestorsTechnical Assessment
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