(Only room for 4 more founders/teams and 2 free-agents)
Does any of this sound familiar? You…
Startups often fail not because they can’t build the technology, but because they solve a problem that customers don't care about—or don’t care about enough. This course is designed to help you avoid their fate.
By refining the process we’ve used with nearly 2,500 innovators all around the globe, we are now launching the 4-Weeks to Traction: Lean Validation Accelerator!
In this program, using the processes, tools and templates we use with our client startups, you’ll learn (by doing):
According to Danny Maloney, General Manager of AOL Video, “Lean Startup Machine opened my eyes to many flaws in my current product development process. I see now multiple ways that I can operate faster and more efficiently in large and small company environments alike.”
Pre-requisites: No coding, design, or other specialized skills are necessary, just a will to fail fast, and succeed faster. Must be willing to spend 1-3 hours outside of the class and your comfort zone, applying the concepts in class to your own/team project to optimize the learning experience.
Also, after a team leader has registered, they will be sent a 50% off discount code to register fellow teammates if applicable.
Please email email@example.com w/ any questions.
Exploration interviews with target customers are essential to validate that you are solving the right problem. The immediate qualitative data will allow you to improve your targeting and product strategy in large leaps.
This session will prepare you to find and interview your product’s early adopters. You will also start completing the Validation Canvas—the central tool for planning and tracking your experiments throughout this course.
After you are done with the session, your homework will be to conduct customer interviews to decide whether you are working on “a problem worth solving.”
Customer interviews are a daunting and difficult task, which is why most entrepreneurs prefer to run experiments in their minds, rather than talk to their customers. The problem is that the right answers are “outside the building,” and mental experiments are not likely to reflect what real customers think.
We will spend the second session reviewing your results, as well as your personal interviewing experience, to identify opportunities for improvement.
We will analyze your interview data and help you determine whether you have validated your riskiest assumption(s), or need to adjust your strategy (pivot). In either case, you will be able to design your next experiment and get ready to “get out of the building” again.
After you have validated some of your riskiest assumptions through interviews, you can test your solution hypothesis by “pitching” it to your target customers before you build it.
However, it’s not simply about asking whether they like your idea because you cannot simply rely on what you customers say they want. You must carefully design the experiment to avoid false positives and your own confirmation bias.
You will design an experiment to validate your solution by getting currency in exchange for your Minimum Viable Product (MVP). Currency can be money, letters of intent, time, effort, contact information, etc.
For landing page MVPs and A/B testing, we will provide an optional 30-minute mini-workshop. No coding experience is necessary.
Whether you have build a landing page or started offering a “concierge MVP” in the last session, you will have new data to drive your next set of decisions. We will analyze how you had executed your experiments to ensure that you don’t need to re-run some of them.
The more assumptions you had validated up to this point, the more you may be able to justify investing additional resources into your idea, building a less “minimal” viable product to test next. Ideally, you will find some paying (or letter-of-intent-signing) customers by this point.
We will help you determine whether to pivot, test additional features before building anything new, or to build more technology based on what you had learned with your original MVP. You will design your final round of experiments during the course.
Rafael Balbi is here to share his experience and knowledge of how to harness failure as a driver for success. He has started two businesses now at the age of 24 and is the Director of Operations at Lean Startup Machine. His experience working with entrepreneurs through Franklin's Lab and mastery of Lean Methodologies is helping change the way that successful businesses are built.
Rafael is a Skillshare Master Teacher, has been featured in We Are NY Tech, and spoke at the 30th Annual United States Hispanic Leadership Institute. You can learn more about him here.
Lean Startup Machine is a for-profit social enterprise with the mission of advancing the science of entrepreneurship to better utilize human potential. We aim to bolster jobs through innovation and prevent the world’s smartest people from wasting time building things nobody wants.
Lean Startup Machine has taught nearly 2500 entrepreneurs and 500 startups the Lean development process in an experiential format.
This class hasn't been reviewed yet.