Three reasons not to build a Minimum Viable Product
If you are like most entrepreneurs, you should build a “minimum viable product.”
Let’s get the definition out of the way first; Eric Ries defines MVP as “…that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.”
As we detail in "The Lean Entrepreneur," famed entrepreneur Bill Gross created an MVP in 1999 that validated that car buyers would be willing to by autos online sight unseen. The customer would choose a car on his website, describe the options desired and then pay for the car. Bill then would go buy the car from a dealer (losing money in the process) and deliver it the customer.
That MVP grew into CarsDirect.com.
Nick Woodman noticed surfers strapping disposable cameras to their arms to take pictures of themselves surfing. At first, he decided to make a better strap from surfboard leashes, but then realized he really needed to improve the camera technology specifically for action sports’ needs. His first MVP, in 2004, used a 35-mm film camera, not digital! That quickly evolved into the Digital Hero. From that first analog MVP, GoPro became the darling of a brand-new product category, the action or rugged camera market, which it completely dominates.
In both cases, Bill and Nick had to learn about the needs of their early adopters before scaling their startups, hence the MVP approach.
But there are valid reasons not to build an MVP, which runs counter to lean startup principles – as if to be a lean startup, you must always be iterating or pivoting or “failing fast” and giving up.
If you don’t need validated learning however, you should not build MVPs. We detail three areas where building MVPs are suboptimal.
1. You are building a sustaining innovation product.
In "The Lean Entrepreneur," we discuss how learning tactics differ depending on where your endeavor falls on the Innovation Spectrum.
In a nutshell, the more sustaining your innovation, the more the market is understood or, at least, understandable.
The problem and solution are knowable.
- Your customers are smart. They understand the problem and solution and so are believable. The features they ask for likely represent their true needs.
- Competition is everywhere. You can see what’s working and what isn’t.
- Experts are everywhere. Garter gets it, industry trade rags get it, bloggers and existing customer communities get it.
On the other hand, if the startup is turning this market on its head, a fully blown product isn’t likely required. It’s possible that so much value is created, early adopters will jump at the chance of using an imperfect product.
When Paypal turned the Internet payment processing market on its head, people used the product despite a sub-optimal user experience. Paypal kicked butt. Now, with new competition emerging, Paypal is on a mission to drastically improve the user experience.
2. You don’t care if you’re wasteful.
It might sound rather glib, but maybe waste isn’t an issue. It’s within the realm of possibility that you have enough time and money to build a full-blown product, including every feature you can imagine, and if you’re wrong, you don’t care.
If you build big and are wrong, but do care that you wasted the time and money, then build a proper MVP.
When Apple was figuring out what its retail experience was to be they prototyped it. They built a life-sized store. Was it an MVP? We’re guessing Steve Jobs and Ron Johnson (the store’s designer) were not trying to find a balance between minimum and viability. There’s no indication that they attempted to measure viability. On the other hand, they didn’t roll out stores across the country based upon initial design concepts and assumptions. They did build and scrap and then rebuild a full retail store experiment! The prototype convinced the board to go ahead with a four-store trial run.
If you want to argue that Apple “doesn’t do MVPs” that’s fine – we’re not sure we agree – but for the sake of argument, fine. Apple’s valuation is close to half a trillion dollars and they have 50K employees. Is this analogous to your situation?
3. You achieve product-market fit.
Product-market (P-M) fit is not a proposal. Product-market fit occurs when the value proposition is proven by a substantial number of market transactions that creates business momentum.
The objective of the MVP is validated learning. If you have P-M fit, you’ve proven viability, there’s no requirement to be minimal anymore.
Beware, the fallacy that more of a good thing is necessarily better. There’s no such thing as maximum viability. Viability is a threshold.
When you’re on the disruptive end of the spectrum, a minimum viable product is maybe all you need to reach P-M fit. To stay ahead of the competition, however, you must continue to press forward toward the “whole product.” The whole product might include additional functionality, better positioning, packaging, complementary products, distribution partners – anything that not only satisfies the customer need, but also induces customer passion.
Once you achieve P-M fit, you pursue whole product to crush the competition. Once you achieve P-M fit, you don’t want to be minimal anymore. This isn’t to say you can’t be lean (see lean manufacturing) or continue to learn, but at this point you know what to execute on.
In general, once you know, you optimize for executing, not learning. As the market pulls the product out of you, you build it! Fully!
The trap is in “knowing.” Having conviction isn’t the same as knowing. Faith-based belief in your vision leads to bigger disruption is feel-good claptrap. It’s the "Myth of the Visionary" and there’s no evidence for it, not at Apple, Tesla, or anywhere else.
Keep in mind these points:
- Viability (the V in MVP) is determined by the market, not your whim
- “Knowing” is a trap. Do you know or merely think you know?
- Functionality above and beyond viable, does not make you more viable; it can actually destroy viability. (This is why “best” product rarely wins.)
- Don’t release your MVP to the world, but rather to a select group (eg early adopters).
- Once you’ve learned, execute on what you’ve learned, while also maintaining new learning.