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MVP

MVP Workflow

Real users, real feedback. Core flows working with authentication and persistence. Polish is optional — learning is mandatory.

What you're proving

An MVP validates product-market fit with real users. You're no longer testing if the idea works — you're testing if people will use it. Core flows must work reliably, but polish comes later.

Overview

Who it's for

Early adopters and beta users willing to provide feedback. Not yet for paying customers.

Typical duration

2-4 weeks depending on scope complexity. With AI assistance, teams often ship MVP features 40-60% faster than traditional development.

Meeting cadence

Daily

Standup

15-min check-in on progress, blockers, and decisions needed.

Twice weekly

Demo & feedback

Show progress to stakeholders. Capture feedback live.

Weekly

User testing

Watch real users interact with the product. Note friction points.

End of sprint

Retrospective

Review what worked, what didn't. Adjust for next sprint.

Key activities

1

Add authentication and data persistence

Move from mock data to real persistence. Add Supabase (or your chosen backend) for auth and database. Real users need real accounts.

2

Implement core happy paths

Focus on the 2-3 flows that define your product. Everything else waits.

3

Deploy to staging environment

Get the app running somewhere users can access. Configure basic environment separation.

4

Onboard early users for feedback

Recruit 5-10 beta users. Watch them use the product. Gather qualitative feedback.

5

Iterate based on feedback

Prioritize fixes that unblock core flows. Document edge cases for later.

AI-assisted development patterns

AI handles boilerplate: Auth flows, CRUD operations, form validation — let AI generate the standard patterns.

Human focuses on UX decisions: Flow logic, error messages, edge case handling — these need human judgment.

Review velocity is high: AI can produce code faster than you can review. Batch reviews by feature, not by commit.

Quality bar

What "good enough" looks like at MVP stage:

Real data persistence (no more mock data)

User authentication working

Core happy paths tested

Basic error handling in place

Responsive design (works on mobile)

Security fundamentals (no SQL injection, XSS)

Boundaries

Allowed

  • • Limited feature set (core flows only)
  • • Basic analytics (page views, key events)
  • • Manual operational tasks
  • • Minimal documentation
  • • Some rough edges in UI

Not Allowed

  • • Known security vulnerabilities
  • • Data loss scenarios
  • • Missing core features
  • • Broken authentication flows
  • • No way to provide feedback

Anti-patterns to avoid

Feature creep beyond core

You can always add more later. Ship the minimum that validates your hypothesis.

Premature scaling

Optimizing for 10,000 users when you have 10 is waste. Focus on learning, not scaling.

Over-engineering solutions

Simple beats clever. Avoid complex architectures until you know what you're building.

Building admin before user features

Users come first. Admin panels can be manual or minimal until users are happy.

Promotion to MMP

Before moving to MMP stage, verify:

  • Core features complete and working reliably
  • Early user feedback positive (validated product-market fit)
  • No critical bugs blocking main flows
  • Data & Security audit passed at MVP level
  • Stakeholder sign-off to proceed
Learn about delivery cycles

Design at MVP

Apply the design system properly at MVP stage. Responsive design matters — users will access on mobile. Use consistent spacing, typography, and colors. Save the polish for MMP.

Explore the Design System
POC WorkflowMMP Workflow