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Lean Analytics: Use Data to Build a Better Startup Faster (Lean Series) [Kindle Edition]

Alistair Croll , Benjamin Yoskovitz
4.5 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)

Kindle-Preis: EUR 14,99 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

  • Länge: 437 Seiten
  • Sprache: Englisch
  • Word Wise: Aktiviert
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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. By measuring and analyzing as you grow, you can validate whether a problem is real, find the right customers, and decide what to build, how to monetize it, and how to spread the word. 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 practical, proven steps to take your startup from initial idea to product/market fit and beyond. 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.

Über den Autor

Alistair Croll has been an entrepreneur, author, and public speaker for nearly 20 years. He's worked on a variety of topics, from web performance, to big data, to cloud computing, to startups in that time. He's the founder of Coradiant, a web performance startup that raised $20M - then the largest series A in Canadian history - and went through several iterations before finding its product/market fit and being acquired by BMC in early 2011. He's also an investor and partner in a number of startup accelerators, including Year One Labs, Rednod, and Founderfuel. He runs a number of tech conferences focused on cloud computing, big data, and Startups, as well as a variety of local events such as Bitnorth, Startupfest, and Ignite A sought-after speaker and author, Alistair has written several books on web performance and analytics, and spoken widely on such subjects. His "Lean Analytics for Startups" presentation at Le Web covers many of the concepts we'll deal with in the book, and has spoken to investors on several occasions about the impact of data-driven, lean startup approaches have on traditional investing. Alistair is a frequent contributor to technology blogs including O'Reilly Radar, GigaOm, Informationweek, Human 2.0, Bitcurrent, and Solve For Interesting ( Ben Yoskovitz is a serial entrepreneur with 15+ years experience in web businesses. He started his first company in 1996 while completing university. In 2007 he co-founded Standout Jobs, a B2B software company in the recruitment space. The company raised $1.8M from venture and angel investors. In 2010 after exiting Standout Jobs, Ben co-founded Year One Labs, an early stage accelerator that provided funding and up to 1-year of hands-on mentorship to 5 startups. Year One Labs followed a Lean Startup program, making it the first accelerator to formalize such a structure. Three of five companies graduated from Year One Labs and went on to raise follow on financing. A great deal of Ben's experience and thought leadership around Lean Startup and analytics emerged during this time. Ben has been blogging since 2006. The "Instigator Blog" ( is recognized as one of the top blogs on startups and entrepreneurship. Ben is also an active mentor to numerous startups and other accelerator programs, including FounderFuel (a TechStars-like program in Montreal.) He regularly speaks at startup conferences and events, including the Michigan Lean Startup Conference, Internet Marketing Conference, etc.


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4.5 von 5 Sternen
4.5 von 5 Sternen
Die hilfreichsten Kundenrezensionen
Von Chris
Format:Gebundene Ausgabe|Verifizierter Kauf
Summarizes very well other books like Lean Running, Lean Startup and Osterwalder's Business Model Generation.

Gives a nice overview over business models that work and what the key metrics are.
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1 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Mir gefällt es gut. 17. März 2014
Format:Gebundene Ausgabe|Verifizierter Kauf
Ohne große Worte, klarer Kauf!
Ich hatte es gekauft, damit meine Arbeit leichter wird. Ist sofort ohne großen Aufwand gelungen.
War diese Rezension für Sie hilfreich?
Die hilfreichsten Kundenrezensionen auf (beta) 4.6 von 5 Sternen  103 Rezensionen
64 von 69 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Over reaches 5. Mai 2013
Von M. Hyman - Veröffentlicht auf
Format:Gebundene Ausgabe
This book suffers from first time author syndrome -- the author's attempt to boil the ocean rather than taking a lean startup approach and creating the minimum viable product. The goal of the book is to help you, as a startup, understand what types of analytics you should incorporate so as to run a more effective business, in keeping with the ideas of a Lean Startup. Sections of the book are quite good... looking at some lightweight case studies of startups and the analytics they used to navigate muddy waters. The problem is that the book tries to solve everything, ranging from how to categorize the growth phase of your company, what analytics are appropriate for various types of companies (mobile apps versus SaaS e.g.), and even how to operate within enterprises. To me, this takes the authors well out of their core area of expertise, rendering some of the chapters almost useless. As a result, although the core information can be quite interesting, I would have been a lot happier with the book if it reduced its scope and went more into depth just into analytics, with more information in the case studies, and more examples of actual data to look at and suggestions on how to avoid false metrics. In fact, these topics, discussed at the beginning of the book, were the best sections -- what the authors call vanity metrics. If the authors had focused on that core area and gone into more depth the book would have been great. But by spreading so thin and across so many areas, the book goes well away from the author's core strengths.

Altogether, I'd read other books instead of this one: Web Analytics 2.0 does a much better job of covering analytics methodologies and techniques; Lean Startup gives a better overview of the Lean approach; Innovator's Dilemma is a much better look at how to think through startup issues.
54 von 61 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The missing link in Lean Startup finally arrived! 17. März 2013
Von Jose Papo - Veröffentlicht auf
Format:Gebundene Ausgabe
This book will certainly become the best reference to learn and understand metrics and analytics in relation to Lean Startup and Customer Development. Many books were written about Lean Startup, Agile Development and Customer Development. All of them deal a lot with the Build and Learn parts of the "Build-Measure-Learn" cycle of Lean but usually with few pages speaking about the Measure part. Now Alistair Croll and Ben Yoskovitz solved the Measure link for us!

So now if you want to have more chances of success and also to fail fast in a startup or a new business inside a great corporation you have the tools and techniques available. I strongly recommend at least the following books (read in order):

1 - The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses by Eric Ries

2 - Running Lean: Iterate from Plan A to a Plan That Works (Lean (O'Reilly)) by Ash Maurya

3 - The Startup Owner's Manual: The Step-By-Step Guide for Building a Great Company by Steve Blank

4 - Lean Analytics: Use Data to Build a Better Startup Faster by Croll and Yoskovitz

José Papo, from Brazil

Twitter: @josepapo
21 von 24 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Good Read for Budding Enterpreneurs to understand Challenges of Starting a Web Business 20. Juni 2013
Von Subir Singh - Veröffentlicht auf
Format:Gebundene Ausgabe|Vine Kundenrezension eines kostenfreien Produkts (Was ist das?)
Lean Analytics is a good introduction for budding entrepreneurs to Internet/eCommerce businesses. I do appreciate that the authors have kept the material lean to appeal to a wider audience.

As an entrepreneur who is an Agile and Lean practitioner I naturally gravitated to the chapter on "The Discipline of One Metric that Matters", but 8 pages (2% of the book) are just not sufficient to cover, in my opinion, such an important topic. A great segue into my issues with the weak bibliography - from being unable to trace additional relevant reading/reference materials to the stated metrics. For e.g., the Airbnb correlation to the addition of professional photographers to the increase in "nights booked" (pg. 7); or the stated metrics for "Circle of Friends (pg. 17) - Mike Greenfield might be a close and personal friend of Alistair's but I need some public reference for the published metrics to be credible.

Also, there are leaps without justification - On pg. 89 for Model Two, the authors state without any supporting evidence, "Because the incremental cost of adding another customer to a SaaS service is negligible - think of how little it costs Skype to add a new user...". On the surface this seems true. It leads one to make an extrapolation that every additional user is negligible in cost - but that is not true. For e.g., Netflix has to keep available capacity to keep up with the new subscribers and trial subscriptions. The additional available capacity is sunk cost. By adding another subscriber, Netflix is "potentially" recovering cost!

It is a good "first" step if you want to delve into the world of web entrepreneurship, or just want to increase your knowledge for an academic discussion...but I wouldn't run out to launch a business just on the learnings from this book.
19 von 23 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The first and last analytics book you need 14. März 2013
Von C - Veröffentlicht auf
Format:Kindle Edition
This is one of these books that make you feel like you spent too little money for the value it provides. It's that good.

It is one of the most straightforward and comprehensive business books I've read. The information is clear, thorough and the case studies are not only interesting, but also very valuable since it allowed me to compare my business with other businesses. I now have a better feel of where we stands. The book stresses the importance of "actionable" metrics (vs vanity metrics) and helped me figure out the key metrics we should be tracking for our business.

Lean Analytics is an entertaining yet insightful read. Definitely worth every penny.
9 von 10 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen 6 years of business school in one book 25. Mai 2013
Von R. Mutt - Veröffentlicht auf
Format:Gebundene Ausgabe|Vine Kundenrezension eines kostenfreien Produkts (Was ist das?)
When Ash Maurya's Lean Startup was chosen as the first book in Eric Ries' Lean Series, I thought the bar was set way too high. There was no way any other book in the series could be even remotely as useful. After reading through Lean Analytics, I stand corrected.

This book is far more useful than any other business book I have seen or heard of, with the exception of Ash's book. It takes the science of data collection and analysis to a whole new level, showing exactly how to calculate ROI of any business idea, pricing strategy, or marketing campaign. One of the key points of this book is that mistakes and failures are not the enemy - information blindness is. This point alone, if applied correctly, could prevent thousands of great ideas from being tossed in the scrap heap of history. And this book will tell you everything you need to know to make that happen.

Save your MBA money, buy this book, and start now! And in six years when your friends are finally leaving university, with their embossed degrees and their last package of ramen, you can give them a lift home in your new Ferrari.
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