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Learn how to design a practical 30-day MVP test plan for startups. This guide covers defining hypotheses, building a lean MVP, week-by-week execution, and pitfalls to avoid, all aimed at de-risking early product decisions.
Validate your startup idea with seven practical tests before building an MVP. From problem validation to pricing and channels, this framework helps you seize real market signals and de-risk your path to product-market fit.
A focused landing page can validate MVP demand in days, not months. This guide lays out a practical framework to test your idea with measurable signals, fast iterations, and clear next steps.
Learn how to prioritize features for rapid 90-day growth with practical scoring methods, strict focus on the core job, and fast feedback loops. The guide covers PMF validation, onboarding optimization, and data-driven iteration to hit meaningful milestones quickly.
This guide provides actionable steps to validate MVP scope, avoid feature creep, and ship quickly for real user learning. Learn to frame problems, prune the feature set, and plan disciplined iterations.
Wondering if your app idea will resonate with users before coding? This practical, no-code seven-day plan guides you through interviews, pretotyping, and pricing tests to uncover real demand and decide the path forward.
Learn how to launch a lean MVP fast by defining a crisp goal, applying ruthless prioritization, and iterating in short cycles. Avoid feature creep while validating demand and preparing for growth.
This guide provides a practical, field-tested approach to prioritizing MVP features. It helps founders focus on what truly drives learning and user value, with actionable steps to run quick validation sprints.
This guide shows practical, time-boxed methods to validate a startup idea quickly. Learn how to frame the problem, run lean tests, and measure real demand to decide your next move—fast.
This guide outlines a practical, step-by-step approach to selecting a lean tech stack for a 30-day MVP. It covers frontend, backend, databases, deployment, and a clear sprint plan to accelerate learning and validation.