The Startup Owner's Manual. Steve Blank. Читать онлайн. Newlib. NEWLIB.NET

Автор: Steve Blank
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Экономика
Год издания: 0
isbn: 9781119690726
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into them says, “Move from left to right and you’re a success. Go right to left and you’ll get fired.” This is why startup sales and marketing efforts tend to move forward even when it’s patently obvious that they haven’t nailed the market. Experience with scores of startups shows that only in business-school case studies does progress addressing customers’ key needs happen in a smooth, linear fashion.

      …what could customers tell us except that we were right?

      Eric Ries recalls his pre-IMVU days at There.com: “The company sort of wanted customer feedback but not really. From our perspective, what could customers tell us except that we were right? The marketing team held focus groups, but looking back, they were orchestrated to get the answers we wanted to hear.” The Customer Development model assumes it will take several iterations of each of the four steps to get it right. The philosophy of “It’s not only OK to screw it up—plan to learn from it” is the core of the process.

      Note that each of the four steps has a stop sign at its exit. That’s simply a reminder to think through whether enough has been learned to charge ahead to the next step. It’s a place to stop and summarize all the learning and, of course, to candidly assess whether the company has reached “escape velocity.”

      Let’s take a closer look at each of the four steps of the Customer Development model.

      Step 1: Customer Discovery

      Customer discovery is not about collecting feature lists from prospective customers or running lots of focus groups. In a startup, the founders define the product vision and then use customer discovery to find customers and a market for that vision. (Read that last sentence again. The initial product specification comes from the founders’ vision, not the sum of a set of focus groups.)

      In a startup, the founders define the product vision and then use customer discovery to find customers and a market for that vision.

      Customer discovery includes two outside-the-building phases. The first tests customer perception of the problem and the customer’s need to solve it. Is it important enough that the right product will drive significant numbers of customers to buy or engage with the product? The second phase shows customers the product for the first time, assuring that the product (usually a minimum viable product at this point) elegantly solves the problem or fills the need well enough to persuade lots of customers to buy. When customers enthusiastically confirm the importance of both the problem and the solution, customer discovery is complete.

      

For web/mobile apps, or products, customer discovery begins when the first “low-fidelity” version of the website or app is up and running. The website is used to test the business model hypotheses against customers or users. When the product is bits, a rough minimum viable product can often be assembled in days if not hours, and entrepreneurs can start the search for customers almost at once, refining their product and customer-acquisition strategies on the fly. This approach served many recent startup stars quite well, including Facebook and Groupon, which began the quest for customers with rough-hewn products almost the day they opened their doors.

      A pivot is not a failure.

      Another key element of customer discovery is that the founder is free to ignore all of it. At times (particularly in a new market) a founder’s vision of what can be is clearer than the vision of potential customers. But this corner case requires the founder to be able to articulate the “why,” not just ignore it.

      The IMVU team shipped a buggy, minimalist product quickly and deployed a whopping marketing budget of $5 a day, using Google AdWords to attract roughly 100 new daily users to the site. They vigilantly observed, monitored and assessed every user’s on-site behavior. Heavy (paying) users were then assaulted with questions in online chats, surveys, phone calls from founders and more. Perhaps the ugliest (or most flattering) comment: “It seems to crash my computer every time I use it,” said one user who kept coming back for more! But four months after funding, a (clearly minimal) new product was born, using feedback reflecting the power of customer discovery.

      Customer validation proves that the business tested and iterated in customer discovery has a repeatable, scalable business model that can deliver the volume of customers required to build a profitable company. During validation, the company tests its ability to scale (i.e., product, customer acquisition, pricing and channel activities) against a larger number of customers with another round of tests, that are larger in scale and more rigorous and quantitative. During this step, a startup also develops a sales roadmap for the sales and marketing teams (to be hired later) or validates the online demand creation plan. Simply put, does adding $1 in sales and marketing resources generate $2 + of revenue (or users, views, clicks, or whatever the metric may be)? The resulting roadmap will be field-tested here by selling the product to early customers.

      

In web/mobile apps, customer validation calls for the deployment of a “hi-fidelity” version of the MVP to test key features in front of customers. Customer validation proves the existence of a set of customers, confirms that customers will accept the MVP, and validates serious, measurable purchase intent among customers.

      How? Depending on the business model, validation is measured by “test sales” that get customers to hand over their money (or become actively engaged with the product). In a single-sided market (one where the user is the payer), a steady stream of customer purchases validates the concept far more solidly than lots of polite words. There’s no surrogate for people paying for a product. In a “two-sided” or ad-supported business model, a customer base of hundreds of thousands that’s growing exponentially usually implies that the company can find a set of advertisers willing to pay to reach those users.