Introduction
VC interviews aren’t just about the vision – they’re about the viability.
When your pitch reaches technical due diligence, founders often get caught off guard. Questions get deeper. Details matter.
This checklist will help you prep for the most common technical questions VCs ask so you can:
- Show readiness, not reactiveness
- Build trust with technical and non-technical investors
- Reduce last-minute scramble during due diligence
Let’s make sure your answers inspire confidence.
Architecture & Infrastructure
1. How is your system architected?
Explain whether it’s monolith, modular monolith, or microservices. Be clear on scalability and failover strategy.
2. Can your platform handle a 10x traffic spike?
VCs want confidence in scale readiness. Mention cloud infra setup (e.g., AWS auto-scaling, CDN use, redundancy).
3. Do you use Infrastructure-as-Code?
Highlight Terraform, Pulumi, or similar tools if applicable. Show maturity in infra automation.
4. What’s your deployment strategy?
Talk about CI/CD pipeline, rollback process, and testing coverage. Mention staging and canary deployments.
Engineering Process & Team
1. What’s your engineering velocity?
Mention sprint velocity, deployment frequency, cycle time, and how you track these.
2. How do you ensure code quality?
Code reviews, linters, unit/integration tests, test coverage metrics. Bonus: AI-assisted code review or static analysis.
3. Do you have a technical co-founder or senior engineer?
Investors want to see depth on the team. Be honest and highlight advisors or partners if needed.
Security & Compliance
1. How are you managing data security?
Encryption (at rest and in transit), access controls, secrets management, zero-trust architecture.
2. Are you SOC2/GDPR compliant or planning to be?
Mention timelines, tools like Vanta, and your roadmap to compliance.
Cost, Observability & Uptime
1. What are your biggest infrastructure costs?
Be ready to explain where spend goes and how you optimize it. Mention cost-per-user tracking.
2. How do you monitor performance and uptime?
Use of observability tools (Datadog, Grafana, Prometheus), alerting thresholds, incident response playbook.
AI, Automation & Future Proofing
1. Are you leveraging AI in any part of your product or process?
Talk about AI for internal ops (e.g., AI debugging, code suggestions) or in-product features.
2. How will your system evolve over the next 12-18 months?
Roadmap key architecture changes, automation goals, or scaling needs.
Final Tips for Founders
- Be honest: Don’t bluff – VCs will find out.
- Show awareness: You don’t need perfection, just a plan.
- Keep answers crisp: Practice 1-2 sentence responses with supporting metrics.
- Visuals help: A simple architecture diagram or dashboard screenshot can go a long way.
Need help prepping for investor diligence or tech walkthroughs?
Talk to Logiciel – we’ve helped dozens of SaaS teams get investor-ready without burning time or credibility.
