Your very first goal, once you have an MVP, is to push that experiment through its first iteration cycle in order to test your hypothesis. At this stage, the primary purpose is validated learning. Only after you have proved your hypothesis should you consider scaling and optimization.
In the Lean model, improvement happens over time as a result of user feedback. When you make that feedback loop the centerpiece of your initial experiments, a nontraditional set of business practices begins to emerge.
Look at the following points:
- How to acquire early adopters and establish a small-scale laboratory and why doing so can drastically improve your learning
- How to maximize learning with some of the most popular wireframing and prototyping tools
- How to balance the need for quality against speed-to-market requirements, budget requirements, or other limitations...