Lean LaunchPad – The Next Generation

While AI accelerates product development and customer discovery, it doesn't accelerate understanding, evidence, or insight.

Teams still need to discover who has the problem, how painful it is, who controls the budget and data, what outcome counts as success, what failure is tolerable, how the product enters the workflow, and why a customer will choose a startup over dozens of fast followers or internally built solutions.

Here's how we change the course design to embrace the speed of AI while teaching students to first think deeply about their business, then act quickly to build it.

It took all summer and lots of suggestions from the Stanford Lean Launchpad and Hacking for Defense instructors.

But at the end of our own discovery, we concluded that our redesigned LLP class needed to, first, double down on the front end of the class on the rigor of understanding stakeholders, problems, hypotheses, and connections.

then double down on AI for its rapid development and deployment, time-to-market speed-up, and ability to transform entire industries.

Next, replace the MVP as evidence of the value proposition with snippets, using a small portion of the initial untested product to test a value proposition.

Then, replace the MVP as evidence for testing the other parts of the business model canvas with minimal tested canvas tests.

Next, make product market fit targets category specific.

And then change the class tempo to move even faster.

Then, use design partners as evidence of customer validation in the second half of the class.

And finally, change the language to embrace new class concepts.