# AI MVP and User-Test Stack

> A lean stack for turning a narrow customer problem into a testable prototype, private MVP, and evidence-driven iteration loop.

- Canonical: https://gptnavi.com/stacks/ai-mvp-and-user-test-stack
- Estimated monthly cost: $0-$200/month
- Last materially updated: 2026-08-19
- Best for: Solo founders, Product managers, Designers, Operations teams

## Problems this stack solves

- Slow prototyping
- Unclear MVP scope
- Feature creep
- Weak user feedback
- Unmeasured launches

## Recommended tools

### Interactive concept

Recommended: Figma Make, Readdy

Why: Create and refine testable screens before committing to a broader build.

### Working MVP

Recommended: Base44, Lovable, Bolt.new

Why: Build a small functional app with only the data, roles, and logic needed for the first test.

### Feedback capture

Recommended: Tally, Fillout

Why: Ask for task-specific feedback immediately after a user completes the key flow.

### Behavior evidence

Recommended: PostHog, Microsoft Clarity

Why: Pair stated feedback with task completion and drop-off behavior.

## Beginner setup plan

1. Write one job to be done before opening a builder.
2. Test a prototype before wiring real customer data.
3. Give early users restricted access and a clear feedback path.
4. Use repeated evidence to choose the next experiment.

## Included workflows

- https://gptnavi.com/workflows/ai-mvp-to-user-test-loop
- https://gptnavi.com/workflows/product-idea-to-coding-feature-spec
- https://gptnavi.com/workflows/launch-mvp-with-landing-page
- https://gptnavi.com/workflows/product-analytics-to-growth-experiments