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Lean Analytics: Use Data to Build a Better Startup Faster (Lean Series), by Alistair Croll Benjamin Yoskovitz
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Product details
Series: Lean Series
Hardcover: 440 pages
Publisher: O'Reilly Media; 1 edition (March 21, 2013)
Language: English
ISBN-10: 1449335675
ISBN-13: 978-1449335670
Product Dimensions:
6 x 1.5 x 9 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
119 customer reviews
Amazon Best Sellers Rank:
#30,150 in Books (See Top 100 in Books)
Perfect Menu for the New to Entrepreneurial-ship ...I have encountered many GREAT new ideas throughout my career in Technology & Retail that never transitioned to reality, not because of lack of passion, but due to stunted entrepreneurial capability in the captain of the ship. LEAN ANALYTICS Use Data to Build a Better Startup Faster will enable the New to Entrepreneurial-ship, formally educated or not. If you are embarking or are already deep into a Start-Up adVenture, Alistair Croll & Benjamin Yoskovitz share with you what you to incorporate to be successful at reaching that end objective and do it faster, better and in the longer-term cheaper.Relevant evidence will help build confidence into the Start-Up enterprise; it will assist in validating what you already know, set direction and re-direction when it is needed - it will also help build the confidence of others in you & your Start-up to succeed. Understanding the value of establishing perception in others that will prove to be gateways to your Start-Up's success is a key element within the concepts shared and done in such a way that makes sense to the lay-person; you will not find a similar approach to this message in any of your typical analytics, statistics, performance management or six sigma book.There appears to be a magical-season for Start-Ups between bootstrapping and initial investment that will make or break the potential for that GREAT new idea to move through infancy; many all-out ignore data to assist in decision making and other become petrified by a drive for data perfection before setting direction. There are real risks to over/under complication; following the step laid out in this book will set you up to have a practical evolution in your relationship with measurable evidence.The only suggestion that I have (& the reason for 4 versus 5 stars) and that I will be doing for the Start-Ups that I work with is to have a summary map of the book that allows the reader to check-mark what they have already accomplished and move forward to that that section of the book that aligns to where they are in their evolution of their business. This recommendation speaks to the diversity of Start-Up businesses & their entrepreneurial capability that I believe this book was written for; the book is comprehensive in content for the audience, but usability for a population that wants to move fast may not get anchored in Chapter 1 and it would be a tragedy to lose the opportunity to enable the GREAT new ideas and the captains of the ships.
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 way things are moving.Understandable – If people can’t remember it and discuss it, it’s much harder to turn a change in the data into a change in the culture.A ratio or a rate – Ratios or rates tend to be easier to act on, they are inherently comparative (see the first characteristic above) and they are good for comparing opposing factors.Changes the way you behave – What will you differently based on changes in the metric?The thing I liked most about Lean Analytics is that all of it makes perfect sense. The book provides a well thought through approach to making sense of something that can be complex and challenging at times: data.
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 and easy-to-consume way that is valuable for novices and experienced practitioners alike. The case studies are also excellent and clearly reflect a significant amount of careful and passionate research.My one gripe for the book is that there is too much time spent on lean startup refresh. I understand the urge to get readers on the same page, but it seems unlikely that many readers of a "lean 2.0" book such as this would not have the basics down, and so some of the material feels a little basic and repetitive. I would have rather seen less intro theory and more deeper dives on advanced issues like different ways to approach cohort analysis.In any case, it's awesome work and well worth a read for anyone who cares about web analytics and applying lean in a systematic way.
This book is great. It gets the vanity metrics out of the way by defining what a good metric is, differentiates between business models and marketing tactics, and gives you the key metric you need to be focusing on based on the type of startup. It also references other important startup concepts that you need to get up to speed on - but while they were at it, they should have mentioned Crossing the Chasm (Geoffrey Moore).
I found it to be one of the most complete books on business performance management. From page one, you find yourself immersed in KPIs, metrics, various scenarios, giving you all the information that you need if you are serious about getting a business on the road. What I found to be the most valuable resource offered by this book was the way it presented the applicability of the LEAN methodology to performance management through real world case studies. Still, I would recommend this book as a reference, as you will most likely have to come back to certain parts due to its overwhelming amount of data and information that it contains.
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