{"id":1316,"date":"2023-04-23T11:56:54","date_gmt":"2023-04-23T16:56:54","guid":{"rendered":"http:\/\/starpointgroup.com\/?p=1316"},"modified":"2023-09-07T12:15:41","modified_gmt":"2023-09-07T17:15:41","slug":"startup-planning","status":"publish","type":"post","link":"https:\/\/www.starpointgroup.com\/startup-planning\/","title":{"rendered":"Startup Planning"},"content":{"rendered":"

A startup is a human institution designed to create new products or services under conditions of extreme uncertainty.
\n-Eric Ries<\/p><\/blockquote>\n

Ad Agencies & Startup Factories<\/h2>\n

When I first read Eric Ries\u2019 definition of a startup, I laughed out loud because I thought it was the perfect description of a full-service advertising agency \u2013 or at least the one where I worked for 10 years. \u00a0That\u2019s what we did, every day of the week: create new products and services for big-name clients under conditions of extreme uncertainty.\u00a0 We were a startup factory \u2013 and we were good at it.<\/p>\n

A key difference between a successful ad agency and Eric Ries\u2019 idealized startup is the role of the intended customer in the development process.\u00a0 Reis thinks that little can be learned by talking with end-users and consumers because \u201c(m)ost of the time, customers don\u2019t know what they want in advance.\u201d<\/em> \u00a0(Ries, 2011, p. 49)\u00a0 A successful ad agency knows better: by asking the right questions in the right way \u2013 and by listening with an open-mind \u2013 one can, in fact, find out what customers want (and don\u2019t want) and substantially reduce the uncertainty that surrounds the creative development process.<\/p>\n

Reducing Uncertainty<\/h2>\n

The rational response to conditions of extreme uncertainty is \u2026 to systematically reduce uncertainty. \u00a0Eric Ries\u2019 recommended method is the specification of a \u201cminimum viable product\u201d (MVP) followed by rapid turns through the \u201cBuild-Measure-Learn\u201d loop to generate \u201cvalidated learning\u201d \u2013 results that derive from customer behavior and are based on empirical evidence. (See Figure 1)\u00a0Ries asserts that through this process of repeated cycles of product testing \u2013 feature by feature \u2013 one eventually will develop a product that is viable in the marketplace.\u00a0 (Or one eventually will be forced to admit that it\u2019s not going to fly and then \u201cpivot\u201d to a new approach.)<\/p>\n

<\/a><\/span><\/div>\n

We\u2019re big fans of empiricism, but we hate to see clients running in circles and blindly bumping into walls at the outset of a project. \u00a0Why not get customer feedback on the MVP before<\/em><\/strong> the \u201cbuild\u201d process starts? \u00a0It it\u2019s not going to fly you can pivot a lot sooner, and with fewer resources expended.<\/p>\n

There are two approaches that, taken together, can substantially reduce the uncertainty that surrounds a new product development effort:<\/p>\n