The traditional approach is to do some customer research, throw an MVP out there as fast as possible, and hope it hits. After being early at three startups that achieved over $1M in run-rate in their… Open at source
In an MVP, you try to simulate the entire car. In an MVT, you are just testing whether the drivetrain is more powerful with an electric engine or a gas one.
If you focus on MVTs instead of MVPs, you get closer to the heart of the question: Can you predict success before you launch? I believe the answer is yes. With the right approach, you can make a strong prediction about your chance of success and reduce (not eliminate) your chance of failure.
For each MVT you run, you should ask yourself again: Now that I’ve proven or disproven that risk, what are other risks I should be considering and testing against?