What an MVP really is (and what it isn’t)
MVP gets used so loosely that many teams build something else entirely. See what it really means.
Defining your MVP
Overbuilding is the most common, and most expensive, mistake in product. Learn the discipline of building just enough to test what matters, scope features with precision, and reach real customer feedback before you've committed to the wrong path.
MVP vs prototype vs experiment (when to use each)
Three different tools, often confused. See when each one is the right move — and when it isn’t.
How to scope for learning, not completeness
Most MVPs aren’t a smaller version of the full product. Learn the mindset shift that keeps scope honest.
Why feature creep happens (and how to avoid it)
Every product team drifts toward heavier products. See the forces behind it — and how to push back.
Must-have vs nice-to-have (and why it’s harder than it sounds)
Sorting features sounds simple. Almost nobody does it well. See where most teams quietly slip.
Start with user flows, not feature lists
Lists describe parts. Flows describe experience. See why starting with flows produces sharper products.
Designing the smallest useful version of your product
Slice your product instead of shrinking it. See the difference between minimal and watered down.
Designing around risk, not just ideas
Most parts of a product aren’t equally risky. See how to design so you test the scariest things first.
How MVPs differ for B2B vs B2C
Same word, very different work. See how to match your MVP shape to who you’re really selling to.
Internal vs external MVPs (and when to use them)
Not every MVP needs to be public. See when an internal version is the right move — and when it isn’t.
Balancing time, cost, and scope
Three forces that always pull against each other. See how to make the trade-offs deliberately instead of slipping.
Scoping AI features (confidence, speed, and failure modes)
AI features don’t behave like normal software. See what to think about beyond what they’re supposed to do.
When AI needs a human in the loop
Not every AI task should run on its own. See when humans should stay involved — and how to design for it.
Knowing when your MVP has done its job
MVPs aren’t supposed to last forever. See the signs that yours has served its purpose.
Moving from MVP to a real product
A different kind of work begins after the MVP. Learn what changes — and what discipline you should keep.
