How to plan an MVP for AI Startup

AI Startup MVP Planning Template

1. Problem Statement

• Clearly define the pain point your AI product solves.

• Who is the target audience?

• Why is solving this problem important?

2. Core Value Proposition

• What is the main benefit users get from your product?

• How does it differentiate from competitors?

• Why will users pay for it?

3. Key Features (Must-Have Only)

• List only the essential features needed to solve the problem.

• Focus on what makes the product functional and usable.

• Avoid unnecessary features (nice-to-haves can come later).

• Example: If building a project management SaaS, key MVP features might be:

  • Task creation & assignment

  • Basic collaboration (comments, notifications)

  • Simple reporting/dashboard

4. User Flow & UX

• Define the basic user journey (e.g., sign-up, onboarding, main usage).

• Ensure the experience is simple and intuitive.

• Prioritize ease of use and frictionless onboarding.

5. Monetization Strategy

• Will it be free, freemium, or paid from day one?

• Basic pricing model (subscription, one-time fee, usage-based, etc.).

6. Technical Stack

• What technologies will you use for the MVP? (e.g., AWS, Firebase, React, etc.).

• Backend & database choices.

• How will it scale in the short term?

7. Security & Compliance (If Needed)

• If dealing with sensitive data (e.g., healthcare, finance), outline compliance needs (HIPAA, SOC 2, GDPR).

• Basic data protection measures.

8. Success Metrics

• Define KPIs for measuring MVP success:

  • User sign-ups & retention rate

  • Engagement (daily active users, feature usage)

  • Conversion rate (if monetized)

  • Churn rate (if subscription-based)

9. Go-to-Market Strategy

• Initial acquisition strategy: Organic, paid ads, partnerships, etc.

• How will you attract early adopters?

10. Next Steps & Roadmap

• What happens after the MVP launch?

• Prioritization of additional features based on user feedback.

• Plan for scaling and product iterations.