MVP development, step by step
Build and launch your Minimum Viable Product the right way, including AI-first products. From concept to first customers, testing the riskiest assumptions first.
Book a 30-Minute Discovery CallWhat is an MVP?
A Minimum Viable Product is the simplest version of your product that solves the core problem for your target users and allows you to learn fast.
✓ An MVP IS:
- →Focused on solving one core problem
- →Fast to build and iterate, typically 6-12 weeks
- →Designed to test key assumptions
- →Good enough to collect real user feedback
✗ An MVP IS NOT:
- →A full-featured product with all bells and whistles
- →A buggy or broken version of your vision
- →Something that takes 6+ months to build
- →Building features based on assumptions, not data
MVP Planning Process
Define the Core Problem
Start with a clear, specific problem statement. Who has this problem? How painful is it? What are they doing today to solve it?
Example: "SME founders spend 10+ hours per week manually tracking customer feedback across multiple channels, leading to missed insights and delayed product improvements."
Identify Your Riskiest Assumptions
List all assumptions about your product, users, and market. Rank them by risk and importance.
Example: "Assumption: Users will pay €49/month for automated feedback analysis. Risk: High. Test: Landing page with pricing before building."
Define Success Metrics
What does success look like after 3 months? Be specific and measurable.
Example: 100 signups, 40% activation rate, 20 paying customers, €800 MRR
Prove the AI Works on Real Data
If AI is part of the core value, test it before you build around it. Run a small prototype on real inputs, define what a good output looks like, and measure quality and cost per task.
Example: "Classify 200 real feedback messages. Target: 85% agreement with a human reviewer at an acceptable cost per message. If we miss, simplify the scope or keep a human in the loop."
Prioritize Features Ruthlessly
List all potential features. Cut everything that is not absolutely essential for validating your core value proposition.
Must-have: Feedback collection, basic categorization, email alerts. Cut: Advanced analytics, team collaboration, integrations.
Build Strategy
The 80/20 Rule for MVPs
Focus on the 20% of features that will deliver 80% of the value. Use this framework to decide what to build first:
| Feature Type | In the MVP? | Reason |
|---|---|---|
| Core value prop | Yes | This is why users will use your product |
| Essential workflow | Yes | Users cannot achieve their goal without this |
| Nice-to-have features | Later | Add these after validating core value |
| Advanced features | Later | Power users will request these after adoption |
| Complex integrations | No | Start with manual workarounds, automate later |
Typical MVP Timeline
Planning & Design
- →Finalize feature list
- →Create wireframes
- →Set up the dev environment
- →Define data models
Core Development
- →Build essential features
- →Implement authentication
- →Create basic UI
- →Set up database
Testing & Polish
- →Fix critical bugs
- →User testing with early adopters
- →Performance optimization
- →Security review
Launch Prep
- →Deploy to production
- →Create launch materials
- →Set up analytics
- →Soft launch to early users
Pre-Launch Checklist
Product
Analytics
Marketing
Legal & Operations
Real MVP Success Story
From MVP to Series A in 8 Months
A HealthTech startup came to us with a vision for mental health support. Instead of building everything at once, we helped them:
- →Validate demand with smoke tests (2,000+ signups before writing code)
- →Build focused MVP with just 3 core features in 12 weeks
- →Launch to early adopters and iterate weekly based on feedback
Results:
Ready to build your MVP?
Book a 30-minute discovery call. We will look at your idea, your riskiest assumptions and whether AI belongs in the first version.