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Lean Analytics: Use Data to Build a Better Startup Faster Copertina flessibile – 5 aprile 2013
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Migliora il tuo acquisto
Whether you’re a startup founder trying to disrupt an industry or an intrapreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction.
This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.
- Understand Lean Startup, analytics fundamentals, and the data-driven mindset
- Look at six sample business models and how they map to new ventures of all sizes
- Find the One Metric That Matters to you
- Learn how to draw a line in the sand, so you’ll know it’s time to move forward
- Apply Lean Analytics principles to large enterprises and established products
- Lunghezza stampa440 pagine
- LinguaInglese
- EditoreO'Reilly Media
- Data di pubblicazione5 aprile 2013
- Dimensioni15.24 x 3.81 x 22.86 cm
- ISBN-101449335675
- ISBN-13978-1449335670
Altri articoli da esplorare
- Audience Personas: Analizzare i micro-dati per definire e convertire il cliente potenzialeMassimo GiacchinoCopertina flessibile
Descrizione prodotto
L'autore
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.
In 2001, he co-founded web performance startup Coradiant, and since that time has also launched Rednod, CloudOps, Bitcurrent, Year One Labs, the Bitnorth conference, the International Startup Festival and several other early-stage companies.
Alistair is the author of three books on web performance, analytics, and IT operations, including "Lean Analytics" http://leananalyticsbook.com/, a book on using data to build a better business faster that's due out in March from O'Reilly Media. He lives in Montreal, Canada and tries to mitigate chronic ADD by writing about far too many things at "Solve For Interesting": http://www.solveforinteresting.com. Alistair chairs O'Reilly's Strata Conference.
Benjamin Yoskovitz is a serial entrepreneur with over 15 years of experience in web businesses. The co-founder of Standout Jobs and Year One Labs, he is also an active mentor to numerous startups and startup accelerators. Ben is the author of "Instigator Blog" (instigatorblog.com), and regularly speaks at startup conferences. He's currently VP Product at GoInstant, which was acquired by Salesforce in 2012.
Dettagli prodotto
- Editore : O'Reilly Media; 1° edizione (5 aprile 2013)
- Lingua : Inglese
- Copertina flessibile : 440 pagine
- ISBN-10 : 1449335675
- ISBN-13 : 978-1449335670
- Peso articolo : 862 g
- Dimensioni : 15.24 x 3.81 x 22.86 cm
- Posizione nella classifica Bestseller di Amazon: n. 2,907 in Impresa, strategia e gestione (Libri)
- n. 18,236 in Libri in inglese
- Recensioni dei clienti:
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Running Lean by Ash Maurya is the first in the O'Reilly Lean Startup Series. It is brilliant. Lean Analytics by Alistair Croll and Benjamin Yoskovitz is the second in the series. It is equally brilliant. It is comprehensive and it should change how you do business in your startup. Eric Ries writes a wonderful Foreword to Lean Analytics which he describes as moving beyond the Lean Startup bumper stickers and diving deep into the details of innovation accounting thereby avoiding the perils of vanity metrics. He concludes that the book is a `guide for all practitioners who seek new sources of growth'. I believe that `measuring what you do is critical to achieving success in a new business venture' - this book will help you to figure out what you should be measuring by helping you to ask the most important questions and get clear answers quickly. It is critically important that you can firstly measure your progress and communicate that with your internal and external team.
The Preface explains that Lean Startup helps you identify the riskiest parts of your business plan, then finds ways to reduce those risks in a quick, iterative cycle of learning. Most of its insights boil down to one sentence: Don't sell what you make; make what you can sell. And that means figuring out what people want to buy. Lean Analytics shows you how to figure out your business model and your stage of growth. It explains how to find the One Metric That Matters to you right now, and how to draw a line in the sand so you know when to step on the gas and when to slam on the brakes.
Who the book is for:
The preface acknowledges that the book details tools and techniques which were first applied in consumer web applications, adding that they are now being applied to a much broader audience and that the authors have talked to tiny family businesses, global corporations, fledging startups, and charities, all of whom are applying lean analytical approaches **.
I think Lean Analytics can be read in isolation but armed with knowledge from books such as The Entrepreneur's Guide to Customer Development, The Lean Startup; and of course Running Lean, I think that this book will put you in a frame of mind that you have to take action. The book is broken into four parts. Part 1 summarises (brilliantly) all the building blocks of Lean Startup to include the aforementioned books to prime you for the next 3 parts.
I love the structure of this book. It gives you just enough and then moves on to another area but returning again to build on that knowledge. For the record, Part II looks at six sample business models and the five stages that every startup goes through as it discovers the right product and the best target market. When you are done, you'll know what business you're in, what stage you're at, and what to work on. Part III, looks at what's normal. After reading this part, you'll get some good baselines for key metrics and learn how to set your own targets. Finally, part IV shows you how to apply Lean Analytics to your organisation making the point that data-driven approaches apply to more than just new companies.
The book looks at six sample business models:
- eCommerce chapters 8 and 22;
- SaaS chapters 9 and 23;
- Free Mobile App chapters 10 and 24;
- Media Site chapters 11 and 25;
- User-generated content chapters 12 and 26; and finally
- Two Sided Marketplaces chapters 13 and 27.
** The common denominator is online, and if you are operating in one of these six areas, this book is a Must Read - these are all relatively new areas and this book makes an excellent contribution to understanding success in these domains.
If you are not operating in these areas but have a strong interest in Lean Startup and want to move to the next level, there is plenty of food for thought provided by this book. Chapter 29 deals with enterprise focused B2B software startups. The metrics to measure here are focused on the stages of your Sales funnel with some real nuggets of advice on what to measure and watch out for e.g. ease of customer engagement; integration and support costs; and measuring customer use of your APIs as a strategy for customer retention.
If you are commercialising a physical product I would probably read the Startup Owner's Manual by Steve Blank and Bob Dorf first.
What I really liked about the book
Chapter 2 `How to Keep Score' talks about what makes a good metric and is the best discussion of vanity metrics to include plenty of reference to Donald Rumsfeld, former US Secretary of Defense. This is followed by a great introduction to Leading metrics, Segments, Cohorts and A/B Testing.
Chapter 5 presents a Lean Analytics framework with five distinct stages: Empathy, Stickiness, Virality, Revenue and Scale, that every startup goes through. The model includes the `gating' metrics that indicate that it is time to move to the next stage. The chapter summaries the four primary Lean Startup Frameworks:
- Running Lean Lean Canvas
- Lean Startup by Eric Ries
- Dave McClure Pirate Metrics
- Sean Ellis Growth Pyramid
And on Page 53 presents them visually in one figure along with the Lean Analytics framework thereby adding superb clarity to the discussion. The framework is referenced in the remainder of the book to allow visualisation of business models and user flow through the systems of the business.
The Chapters on eCommerce are particularly illuminating for me as I have limited direct experience in this area.
Finally, I can hardly believe that I have not yet mentioned the Case Examples used in the book. They are interesting and well written and used to illustrate key points - Startup Analytics Lessons Learned.
Overall, Lean Analytics is a fantastic book and definitely value for money!

It lists the different types of (mainly software) companies: e-commerce; Software as a Service, free mobile app, media site, user-generated content, 2-sided marketplace.
A start-up company goes through 5 stages of growth: Empathy - listening to the customer to learn whether you've got a business or not; Stickiness - making sure you have a product that users will come back to, one that is "sticky", by iterating; Virality - once you've got a sticky product, and not before, think about getting more users. Virality can be inherent, artificial and/or word of mouth. Next, is Revenue, when you start to really concentrate on making money (before, you were getting the product and market fit right); Scale - growing the business.
What is also very useful, and most apt for the title of the book, is knowing what is a good metric. There are lines in the sand for all the business types, and the different growth stages. These can help you know when to move to the next stage, or even whether to pivot, and change company type.
I'm going to read it again, faster this time, and make notes. I think it's well worth a second read.


However I felt the book could have been made shorter as the authors added lots of unrelated information on what I should be doing with my life..etc

Some context: I'm focused on ecommerce and therefore parts of the book are relevant, whereas others need to be skipped over.
What I found valuable is the segmentation of metrics based on business model (e.g. what type of ecommerce business should be avoiding loyalty programs and focusing on customer acquisition). Also, the survey guidance alone has saved me hours of trial and error. Finally, the guidance on typical KPIs gave a quick leg up instead of starting with a blank piece of paper.
You won't read this book cover to cover, but it will guide you based on your business model through the book.
The reading style is quite easy going, and isn't laden with academic terminology.