The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
Interpretation
The minimum viable product is a basic version of a product that helps gather insights from customers efficiently.
Eric Ries emphasizes that the minimum viable product (MVP) is a critical strategy for startups and product developers. It serves as the simplest version of a product that can be released to early adopters, allowing teams to learn about customer preferences and behaviors with minimal resources, ultimately guiding future development and enhancements based on actual user feedback.
In practice
This quote can be used in a startup workshop to illustrate principles of lean product development.
There's nothing wrong with raising venture capital. Many lean startups are ambitious and are able to deploy large amounts of capital. What differentiates them is their disciplined approach to determining when to spend money: after the fundamental elements of the business model have been empirically validated.
Building the right product requires systematically and relentlessly testing that vision to discover which elements of it are brilliant, and which are crazy.
A lot of entrepreneurs hate big companies. But if you hate them so much, why are you trying to build a new one? The truth is, as soon as a startup has any kind of success whatsoever, it will face big company problems.
The grim reality is that most start-ups fail. Most new products are not successful. Yet the story of perseverance, creative genius, and hard work persists.
The reality is the Lean Startup method is not about cost, it is about speed. Lean startups waste less money, because they use a disciplined approach to testing new products and ideas.
You get a culture of entrepreneurship after you have successfully changed the accountability system so that people can use a better process. Process drives culture, not the other way around, so you can't just change the culture, you have to change the system.
When I was trying to popularize the concept of the Internet - ten or 15 years ago - I came up with this concept of "the 5 Cs." Services needed to have content, context, community, commerce, and connectivity. After that, when I was trying to think of what the key management principles were to build into the culture, I started talking about the Ps. The P's were things like passion, perseverance, perspective and people. I think the people aspect is really the most important one.
Skill in the digital age is confused with mastery of digital tools, masking the importance of understanding materials and mastering the elements of form.
What I do instead is I will cheerfully spend literally hours on identifier names: variable names, method names, and so forth, to make my code readable. If you read some expression using these identifiers and it reads like an English sentence, your program is much more likely to be correct, and much easier to maintain.
Most people in AI, particularly the younger ones, now believe that if you want a system that has a lot of knowledge in, like an amount of knowledge that would take millions of bits to quantify, the only way to get a good system with all that knowledge in it is to make it learn it. You are not going to be able to put it in by hand.
I believe 3D is inevitable because it's about aligning our entertainment systems to our sensory system. We all have two eyes; we all see the world in 3D. And it's natural for us to want our entertainment in 3D as well. It's just getting the technology - it's really more the business model than the technology piece. We've solved the technology.
It's connectivity that really makes the industrial Internet work: it's giving the right information at the right time to the right person or right machine to make the right decision.
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