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How to Evaluate an External Dev Team: A CTO's Checklist

Jay GajeraJay Gajera
November 20, 2025
8 min read
How to Evaluate an External Dev Team: A CTO's Checklist
November 20, 2025
Published by Jay Gajera

Choosing an external development partner is one of the highest-leverage decisions a CTO can make, and one of the riskiest if done poorly. Here's a practical framework for evaluating partners beyond the sales pitch.

The 12-Point Evaluation Framework

1. Ask for a Code Sample

Request access to a sample repository (anonymized). Look for: clean folder structure, meaningful commit messages, test coverage, consistent coding style, and proper error handling. If they can't show you code, that's a red flag.

2. Check Their CI/CD Setup

What does their deployment pipeline look like? Automated testing, linting, staging environments, and rollback procedures are table stakes. Manual deployments in 2026 indicate immature engineering practices.

3. Interview Their Engineers (Not Sales)

The people on the sales call should not be the people writing your code. Ask to speak directly with the engineers who would work on your project. Assess their communication clarity, technical depth, and problem-solving approach.

4. Review Their Documentation Standards

Good partners produce: API documentation, architecture decision records (ADRs), onboarding guides, and inline code comments. Ask to see examples. Documentation discipline correlates strongly with code quality.

"The best external partners feel like an internal team extension, not a vendor you manage. The evaluation process should test for that fit.", Jay Gajera, Gajera IT Solutions

5. Understand Their Communication Structure

Who is your single point of contact? How are async updates handled? What's the escalation path if something goes wrong? Daily standups and weekly demos should be standard, not optional add-ons.

6. Verify IP and Code Ownership Terms

You should own 100% of the code from day one, not upon project completion, not after final payment. Full repository access throughout the engagement. This should be in the contract, not a verbal promise.

7. Check Data Handling Practices

Where is data stored? Do they use production data in development? Is there a signed DPA? For EU-based companies, GDPR compliance is non-negotiable. Ask for their data handling policy document.

8. Test Their Response Time

Send an email at 3 PM on a Tuesday and measure how long it takes to get a substantive response. If pre-sales communication is slow, expect worse during delivery.

9. Ask About Failure

What's a project that didn't go well? How did they handle it? Partners who can articulate failure and what they learned from it are more trustworthy than those who claim a perfect track record.

10. Request References (Then Actually Call Them)

Don't just ask for references, call them. Ask: Would you hire them again? What surprised you? What would you change about the engagement?

11. Start Small

Before committing to a 6-month engagement, run a 2–4 week paid pilot. This tests the actual working relationship, not the sales process. A good partner will welcome this.

12. Check the Exit Path

What happens when the engagement ends? Is there a structured knowledge transfer? What's the notice period? Are there any lock-in clauses? The exit path tells you more about a partner's confidence than the entry pitch.

Red Flags to Watch For

  • They can't show you code samples
  • Engineers are not available for pre-sales interviews
  • No DPA or IP assignment in the contract
  • Response times longer than 24 hours during evaluation
  • Vague pricing without detailed scope breakdown
  • Claims of "200+ engineers" with no specifics on your team

Conclusion

The right external partner accelerates your roadmap and de-risks execution. The wrong one creates technical debt and management overhead. This 12-point framework helps you tell the difference before signing anything.

Tags

CTOEvaluationDev PartnerEngineering ManagementDue Diligence
Jay Gajera

About Jay Gajera

CEO and Founder of Gajera IT Solutions, founded in 2024. Jay specializes in enterprise software development and AI implementation.

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