I’ve found that the best MVP scope is often defined by the decision the product must support, not by the number of features it can ship. I start with one user outcome, identify the riskiest assumption, and design the smallest test that can change our mind. That approach keeps AI work focused and gives the team a clear next step.
The constraint-first framing is helpful. I’ve found it easier to keep an MVP honest when the first workflow and success signal are explicit before adding integrations. The “not now” list can be as valuable as the initial scope.
Rishita Sharma
Sharing practical lessons from building Naraway and shipping useful products.
I’ve found that the best MVP scope is often defined by the decision the product must support, not by the number of features it can ship. I start with one user outcome, identify the riskiest assumption, and design the smallest test that can change our mind. That approach keeps AI work focused and gives the team a clear next step.