WRKSHP
Case Study Feb 2, 2026 10 min read

Technical Due Diligence: What Investors Actually Look For

Technical due diligence: Before writing a check, investors evaluate your tech. Here's what they're actually looking for, architecture, team, security, scalabili

Jansen Fitch

Founder, WRKSHP.DEV

Technical Due Diligence: What Investors Actually Look For

Technical due diligence: Before writing a check, investors evaluate your tech. Here's what they're actually looking for, architecture, team, security, scalabili This guide explains Technical Due Diligence: What Investors Actually Look For with practical patterns WRKSHP uses on client builds. Use the checklist below to prioritize next steps and avoid common mistakes that waste time and money.

Before writing a check, investors evaluate your tech. Here's what they're actually looking for, architecture, team, security, scalability, and how to prepare for technical due diligence. This guide explains Technical Due Diligence: What Investors Actually Look For with practical patterns WRKSHP uses on client builds.

What Technical DD Is Really Evaluating

Technical due diligence isn't an engineering exam. Investors aren't testing whether you used the "right" framework or followed every best practice. They're evaluating risk and opportunity.

Can the Technology Support the Business Plan?

If you're projecting 10x growth, can your architecture scale 10x? If you're selling to enterprises, does your security posture meet their requirements? The technology evaluation maps directly to business claims.

How Much Technical Debt Exists?

Every company has technical debt. The question is whether it's managed or catastrophic. Evaluators want to know: will significant engineering effort be spent fighting the past or building the future?

Is the Team Capable?

Beyond the code itself, evaluators assess whether the team has the skills to evolve the system. A mediocre codebase with an excellent team is better than the reverse.

What Are the Hidden Risks?

Security vulnerabilities, compliance gaps, key-person dependencies, licensing issues, problems that aren't visible in demos but could become liabilities.

The Due Diligence Process

Technical DD typically follows a predictable pattern.

Phase 1: Documentation Review

Before any meetings, evaluators review documentation you provide:

  • Architecture diagrams and technical overview
  • Technology stack description
  • Team org chart with roles and backgrounds
  • Security policies and compliance certifications
  • Development process documentation
  • Infrastructure and deployment overview

This phase filters obvious concerns. Glaring gaps in documentation itself are a red flag, it suggests the team doesn't have clarity on their own system.

Phase 2: Technical Interviews

Deep conversations with technical leadership (CTO, VP Engineering, senior engineers). Topics include:

  • Architecture decisions and rationale
  • Scaling challenges faced and how they were solved
  • Technical debt and plans to address it
  • Security practices and incident history
  • Hiring and team growth plans

Evaluators are reading between the lines. Can leadership articulate decisions clearly? Do they understand trade-offs? Are they honest about weaknesses?

Phase 3: Code and Infrastructure Review

For larger deals, evaluators may request code access. They're not reviewing every line, they're sampling to validate claims and identify patterns.

What they look for:

  • Code quality and consistency
  • Test coverage and testing practices
  • Security vulnerabilities (often via automated scanning)
  • Dependency health and licensing
  • Infrastructure configuration

Phase 4: Findings and Discussion

Evaluators compile findings into a report. Critical issues may be deal-breakers; others become negotiating points or conditions.

Common outcomes:

  • Clean bill: No significant concerns
  • Proceed with conditions: Investment contingent on addressing specific issues
  • Repricing: Valuation adjusted based on technical risk
  • No-go: Technical risks too severe to proceed

Architecture Evaluation

Evaluators assess whether your architecture can support your ambitions.

Scalability

If you claim you can handle 100x current load, evaluators want to understand how. What's the scaling strategy? Where are the bottlenecks? What would need to change?

Red flags:

  • Single points of failure with no redundancy
  • Monolithic databases with no sharding strategy
  • Architecture that requires rewrite to scale
  • No load testing or capacity planning

Green flags:

  • Stateless services that scale horizontally
  • Clear database scaling strategy (read replicas, sharding, or appropriate managed services)
  • Caching layers where appropriate
  • Evidence of load testing and performance monitoring

Maintainability

Can the team continue to evolve this system? Or is it a house of cards where every change risks collapse?

Red flags:

  • No documentation of critical systems
  • Single engineer who understands core components
  • No test coverage on critical paths
  • Deployment requires manual intervention or tribal knowledge

Green flags:

  • Clear system documentation
  • Knowledge distributed across team
  • Automated testing and deployment
  • Incident runbooks and on-call rotation

Technology Choices

Evaluators don't care if you use React or Vue. They care whether choices are defensible and whether the team can hire for them.

Questions they ask:

  • Why was this technology chosen?
  • What are its limitations?
  • Can you hire engineers who know it?
  • What would you do differently today?

The worst answer is "we didn't really consider alternatives." The best answers show thoughtful trade-off analysis.

Security Evaluation

Security vulnerabilities can become liabilities. Enterprise customers may require security attestations. Evaluators want to understand your security posture.

What They Look For

Authentication and authorization: How do you verify user identity? How do you control access to resources? Are there any known bypass vulnerabilities?

Data protection: Is sensitive data encrypted at rest and in transit? Who has access to production data? How is access audited?

Vulnerability management: How do you stay current on security patches? When was your last security audit? What did it find?

Incident response: Have you had security incidents? How were they handled? What did you learn?

Common Security Red Flags

  • Secrets in code repositories
  • No encryption for sensitive data
  • Outdated dependencies with known vulnerabilities
  • No security testing in development process
  • Excessive permissions (everyone has admin access)
  • No audit logging for sensitive operations

Security Documentation

Prepare these documents before DD:

  • Security architecture overview
  • Authentication and authorization model
  • Data classification and handling policies
  • Incident response plan
  • Third-party security audit results (if you have them)
  • Compliance certifications (SOC 2, ISO 27001, etc.)

SOC 2 Type II certification isn't required for early-stage companies, but having it (or a clear plan to get it) removes security concerns from negotiation.

Team Evaluation

Technology is built by people. Evaluators assess whether your team can execute.

Technical Leadership

Can your technical leaders:

  • Articulate the system clearly?
  • Acknowledge weaknesses honestly?
  • Demonstrate strategic thinking beyond current features?
  • Show evidence of growing the team?

Evaluators are wary of founders who can't explain their own architecture or who become defensive when questioned.

Team Composition

Is the team balanced? Common gaps:

  • No infrastructure/DevOps expertise
  • No security knowledge
  • All senior or all junior engineers
  • Key-person dependencies (one engineer who knows everything)

Hiring Ability

Can you grow the team? Evaluators consider:

  • Location and remote work policy
  • Compensation competitiveness
  • Technology stack hiring pool
  • Employer brand and reputation

A team in a hot market using mainstream technologies has lower hiring risk than a remote-only team using obscure languages.

Technical Debt Assessment

Every company has technical debt. The question is whether it's managed or out of control.

Healthy Debt

Debt is healthy when:

  • The team knows it exists
  • There's a plan to address it
  • It doesn't prevent progress on business priorities
  • It was incurred intentionally for good reasons
// Acceptable: Technical debt with context
// TODO: Refactor this to use the new authentication service
// This was written before we had centralized auth
// Ticket: TECH-1234, scheduled for Q2

Unhealthy Debt

Debt is concerning when:

  • The team doesn't know how much exists
  • There's no prioritization or plan
  • It blocks business-critical features
  • It was incurred accidentally or through neglect

Evidence of Debt Management

Evaluators look for:

  • Technical debt tracking in issue tracker
  • Allocated time for debt reduction ("20% time" or similar)
  • Recent examples of paying down debt
  • Architectural decision records showing intentional trade-offs

Preparing for Due Diligence

Start Early

Don't wait until the term sheet to prepare. Good practices compound over time:

  • Maintain architecture documentation
  • Keep security practices current
  • Track technical debt intentionally
  • Build a culture of knowledge sharing

Prepare a Technical Packet

Compile these documents before DD begins:

  1. Technical overview: 5-10 pages covering architecture, technology choices, and team
  2. Architecture diagrams: System context, containers, key components
  3. Technology stack: Complete list with versions and rationale
  4. Infrastructure overview: Cloud setup, deployment process, monitoring
  5. Security documentation: As detailed above
  6. Team information: Org chart, backgrounds, hiring plans

Anticipate Questions

Prepare honest answers to:

  • What's your biggest technical risk?
  • What would you do differently if starting over?
  • What keeps you up at night?
  • How do you handle incidents?
  • What's your scaling plan for 10x growth?

Evaluators know every system has problems. Demonstrating awareness and thoughtful plans is more impressive than pretending everything is perfect.

Red Flags to Avoid

  • Excessive defensiveness about architecture choices
  • Inability to explain your own system
  • Claiming to have no technical debt
  • No documentation of anything
  • Secrets in code (seriously, check before they do)
  • Key-person dependencies with no mitigation

Conclusion

Technical due diligence is ultimately about trust. Investors are trusting you with their capital and need confidence that the technology can deliver on business promises.

The best preparation is building good practices from day one: documentation, testing, security, knowledge sharing. When DD comes, you'll be ready.

For companies that haven't built these habits, pre-DD preparation can identify and address issues before they become deal-breakers. A few weeks of cleanup is better than a failed funding round.

Remember: evaluators aren't looking for perfection. They're looking for awareness, honesty, and a team that can execute. Demonstrate those, and the technology evaluation becomes a strength rather than a risk.

Ready to implement these patterns? Explore enterprise software builds and Growth OS with WRKSHP, or start a conversation.

Work With WRKSHP

WRKSHP builds AI-native software, operated growth systems, and governance layers for teams that sell outcomes, not billable hours.

Explore enterprise software, Growth OS, GaaS governance, contact, or start a conversation about your next build.

Frequently Asked Questions

What is the main takeaway from "Technical Due Diligence: What Investors Actually Look For"?

Technical due diligence: Before writing a check, investors evaluate your tech. Use it as a production playbook for operators and engineers, not slide-deck theory.

How does "What Technical DD Is Really Evaluating" fit into Technical Due Diligence: What Investors Actually Look For?

What Technical DD Is Really Evaluating is a core section of this guide. Apply it after you pick one measurable KPI, then instrument the path that moves that KPI before expanding scope.

What should I watch when working through "The Due Diligence Process"?

Treat "The Due Diligence Process" as a decision checkpoint: name an owner, define success metrics, and refuse to automate steps that spend money or change production data without an audit trail.

When should I bring in a partner on Technical Due Diligence: What Investors Actually Look For?

Bring in help when you need a fixed-outcome delivery model, governance for agent actions, or a single platform spanning build and growth, patterns WRKSHP uses on enterprise software and Growth OS engagements.

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