Lean Analytics: Use Data to Build a Better Startup Faster (Lean Series)
| Author | : | |
| Rating | : | 4.98 (502 Votes) |
| Asin | : | B00AG66LTM |
| Format Type | : | |
| Number of Pages | : | 155 Pages |
| Publish Date | : | 2013-07-01 |
| Language | : | English |
DESCRIPTION:
Lean Startup Keeps Growing Up I. Souweine The lean startup movement is entering an exciting new phase, with big picture theory + evocative anecdotes giving way to careful case studies and more refined analysis of how to apply lean as a management discipline. The O'Reilly Lean Series is of course central to this transformation, and this Lean Analytics book in particular is a fantastic contribution.I especially appreciated the clear exposition on key startup types (SaaS, E-Commerce, Media etc.) and the thorough analysis of what a customer funnel looks like for each model. If some of this material covers old ground, it does so in a fresh an. "Making data less complex and daunting" according to Marc Abraham. Lean Analytics is a great fit within the “Lean Startup” movement. The book provides a very comprehensive overview of the different metrics worth tracking and – most importantly – offers a clear rationale as to why certain metrics should be tracked for a specific business model at a given stage.Before going on to explore how metrics can be applied to different business models, the book does a great job in explaining what makes a good metric:Comparative – Being able to compare a metric to other time periods, groups of users, or competitors, helps you understand which w. "This is a must read for all startup-ers" according to Derek M Skaletsky. Very often the "Lean Startup" movement can be very theoretical and academic, but Lean Analytics give is some teeth and meaning.IMO, the most important concept that this book promotes is the pairing of metrics with business stage. Way too often companies define their key metrics without taking their stage into account (ie - the board will say, "We have to focus on Cost of Acquisition!" when the company is still trying to figure out product/market fit).I also love how they broke the book down by business-type, allowing the reader to quickly access the most relevant parts without having to weed thro
Marc Andreesen once said that "markets that don't exist don't care how smart you are." Whether you're a startup founder trying to disrupt an industry, or an intrapreneur trying to provoke change from within, your biggest risk is building something nobody wants.Lean Analytics can help. Packed with over 30 case studies, and based on a year of interviews with over a hundred founders and investors, the book is an invaluable, practical guide for Lean Startup practitioners everywhere.. Focusing on the One Metric That Matters to your business right now gives you the focus you need to move ahead--and the discipline to know when to change course.Written by Alistair Croll (Coradiant, CloudOps, Startupfest) and Ben Yoskovitz (Year One Labs, GoInstant), the book lays out
We have a ton of concrete data-- ideas of what's normal; what metric to watch at what time; and so on. That nearly every mature industry is ripe for disruption. One reason for this is that founders are delusional. There's been a flurry of startup activity made possible by the lowered barriers to entry of cloud computing, social media, and app platforms. Why is your book timely-- what makes it important right now?A. But data doesn't lie, and the right data in the right place at the right time can change your business (to steal from Steward Brand.) That's what this book is about-- using data to build a better business faster.Q. What information do you hope that readers of your book will walk away with?A. An entrepreneur, working within a host organization, can absolutely revitalize the business (as Procter & Gamble did when it introduced Swiffer, for example.) And a small business can tackle giants or entrenched competitors by being more agile