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Lean Analytics: Use Data to Build a Better Startup Faster

Lean Analytics: Use Data to Build a Better Startup Faster

  • Downloads：5467
  • Type：Epub+TxT+PDF+Mobi
  • Create Date：2021-09-27 08:53:43
  • Update Date：2025-09-06
  • Status：finish
  • Author：Alistair Croll
  • ISBN：1449335675
  • Environment：PC/Android/iPhone/iPad/Kindle
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Summary

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

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Reviews

Khaled ，

Can be a reference to read when you are working on a specific project/company but not read in full at once。

Foster Lartey ，

The book。 End！

Guru ，

Quite dated now， but not entirely a waste of time。 It is overlong and repetitive。

Angela Lam ，

This is like 5 books rolled into one。 There's just soooo much packed inside。 The authors summarize a host of other Lean-related books and frameworks， explain the Lean Analytics framework and background about metrics， explain the ins-and-outs of 6 common business models， discuss a whole bunch of benchmark metrics， AND talk about analytics for startups， enterprise sales， intrapreneurship and culture。 So， both the good and bad thing about this book is that it covers a lot （possibly too much）。 In a This is like 5 books rolled into one。 There's just soooo much packed inside。 The authors summarize a host of other Lean-related books and frameworks， explain the Lean Analytics framework and background about metrics， explain the ins-and-outs of 6 common business models， discuss a whole bunch of benchmark metrics， AND talk about analytics for startups， enterprise sales， intrapreneurship and culture。 So， both the good and bad thing about this book is that it covers a lot （possibly too much）。 In a nutshell， Lean Analytics is about identifying and focusing on 1 most critical metric at a time。 This metric should reflect the biggest risk right NOW in your business， depending on your business model and which of the 5 Lean Analytics stages you're at。 In the course of explaining this， the authors try to give you a crash course on existing lean frameworks， and walk you through the details of 6 business models， with a thorough discussion of what "good" numbers could look like in each of these cases （tho' half the time they have to caveat that "it depends"）。The book is organized such that there’s an overall framework， but you can zoom in to the specific sections depending on what you need for your business at this point。 The only downside is that there’s so much detail that it can get a bit overwhelming。 By and large， the writing is clear， but the book still tends to lapse into technical terms。 Despite the details， the book still has noticeable gaps:- It includes Virality as an entire step in the 5 steps but excludes other forms of acquisition （e。g。 paid ads）。 - Under revenue maximization， it focuses on improving your return on acquisition investment （i。e。 the money a customer brings in vs the cost of acquiring that customer）， but not the other cost components of running a business。 - The coverage is also uneven—there’re LOADs of materials on the first 3 phases， but the last 2 （Revenue and Scale） are relatively weak。- Their “lines in the sand” are a mish-mash of indicative benchmarks and generic advice （mainly repeating what was already shared earlier）- And， when you really dig into the different chapters， diagrams and tables to compare them， you’ll find lots of inconsistencies…。。 Probably because they tried to address too much detail to the point it became hard to gel everything properly。I applaud the authors for their detailed research and trying to compress so much into the book。 But I think they tried to do way too much， and in the process lost focus。 I've been wanting to improve the use of analytics in my business， and was excited to read this book。 I did learn from it， but I felt so overwhelmed by the end that I don't even know where to start applying the ideas。 I guess I expected a detailed strategy guide on analytics， but ended up with what felt like a textbook on metrics， business models and lean startup。。。lolStill， it's a really good book if you want to get some ideas about the "Measure" component of the lean startup approach。 Book summary at: https://readingraphics。com/book-summa。。。 。。。more

roundface ，

Great entry level book for key metrics across main types of online business。

Denny Yusuf ，

Key takeaways:- Start with metrics in mind- Finding your OMTML: which metrics are relevant for you- When you have a hypothesis， test it quickly- A good metric is: Comparative， Understandable， Usually a ratio or a rate， Actionable

Shobha Bhagwat ，

This is a great book with lot of information。 Infact too much information。 So you may need to focus on your topic of interest or you may need to read entire book once and then keep coming back to it for referencing specific parts。

Neil ，

rec by Karl。 Helpful to understand what to build at PostHog

Jordy ，

There is data-informed and data driven。This book explains the difference。 I read this one after the Lean Startup by Eric Ries。 Where the Lean Startup has a more strategic approach， this book takes a tactical one。 In comparison， it is not as solid and innovative in terms of ideas and theories。 But， twice as applicable when it comes to the knowledge that is presented。It gives an introduction to analytical thinking， different types of data and how to use the two to grow your business。 Starting with There is data-informed and data driven。This book explains the difference。 I read this one after the Lean Startup by Eric Ries。 Where the Lean Startup has a more strategic approach， this book takes a tactical one。 In comparison， it is not as solid and innovative in terms of ideas and theories。 But， twice as applicable when it comes to the knowledge that is presented。It gives an introduction to analytical thinking， different types of data and how to use the two to grow your business。 Starting with a primer on key metrics and benchmarks。 Followed by an overview of data types you can come across within different stages of a startup。 Closing with tips on building a data driven company culture， for B2B， B2C and intrapreneurs。 * Personal highlights *1） On metricsA good metric is comparative， understandable， a ratio or rate and CHANGES THE WAY YOU BEHAVE。If it doesn’t change the way you behave， why measure it？Five things to keep in mind:1。 Qualitative vs quantitative metrics。 2。 Vanity vs actionable metrics。 （Vanity metrics make you feel good。 Actionable metrics change your behaviour。）3。 Exploratory vs reporting metrics。 4。 Leading vs lagging metrics。 （Leading metrics predict the future， lagging metrics explain the past。）5。 Correlated vs causal metrics。 2） On startup stages （p。53）Where the lean-canvas describes 9 stages of growth， the pirate funnel 6， and the lean startup 7。 Lean analytics works with 5:1。 Empathy - you’ve found a real， poorly-met need a reachable market faces。 And， can solve this problem in a way that users accept to pay for it。2。 Stickiness - you’ve built/are building the right mix of products/features/functionality。 In a way that will keep users around。3。 Virality - you’ve/ are leveraging growth hacking and building growth loops。 Users and features fuel growth organically and artificially。4。 Revenue - you’ve found / are looking for a scalable and sustainable business with the right margins in a healthy ecosystem。5。 Scale - you’ve / are looking to scale up the business on all fronts。 You’re heading to a successful exit for the right terms。3） On experimentation （p。220）With the Problem/Solution canvas， the authors give a template to use for solution based experimentation。 The goal？ To provide structure to the cadence of experimentation and execution of yourstartup。 A great one to iterate on when you want to implement experimental and data-driven decision making for your business！* Conclusion *Besides a solid introduction to analytical thinking and implementation of data-driven decision making， golden nuggets of wisdom such as the discipline of One Metric That Matters， Benchmarks/”lines in the sand”， tips on selling into enterprise markets and implementation of data driven culture as an intrapreneur are included in this book。Combining that with examples and models for scaling 6 different types of startups， -E-commerce， SaaS， Mobile apps， Media sites， User-generated content and Two-sided marketplace business。- all angles are present for both founders， c-level and junior intrapreneurs to push the needle on growth for their business。 4/5 。。。more

Lexie Miller ，

This book as a ton of details but at times was hard to follow when referencing tables in the actual book form。 Really insightful when thinking about your business or product for both entrepreneurs and marketers。 Some was a little entrepreneur focused but still a good overall。

Anjanaa ，

On page 29， I read， "Small lies are essential。 They create your reality distortion field。 They are a necessary part of being an entrepreneur。 But if you start believing your own hype， you won’t survive。 You’ll go too far into the bubble you’ve created， and you won’t come out until you hit the wall—hard—and that bubble bursts。" That's when I stopped reading。 1st of all， lies are never essential！ 2nd of all， chuck it！ On page 29， I read， "Small lies are essential。 They create your reality distortion field。 They are a necessary part of being an entrepreneur。 But if you start believing your own hype， you won’t survive。 You’ll go too far into the bubble you’ve created， and you won’t come out until you hit the wall—hard—and that bubble bursts。" That's when I stopped reading。 1st of all， lies are never essential！ 2nd of all， chuck it！ 。。。more

Dima Kuzbari ，

A must read for product/growth/marketing managers or ceos who need to track their business' performance。 It shows you the methodology and takes you through each phase of you business。 Also you have dedicated content depending on your type of business。 Opened my appetite to advanced analytics。 A must read for product/growth/marketing managers or ceos who need to track their business' performance。 It shows you the methodology and takes you through each phase of you business。 Also you have dedicated content depending on your type of business。 Opened my appetite to advanced analytics。 。。。more

Sandeep Reddy ，

A handy guide to key metrics for founders to track。 The first half is of good value to product owners too。 Could， however， be a much smaller book。

German Tebiev ，

Книга рассказывает о дружбе стартапов и аналитики。 Более того， книга предлагает пятиступенчатый подход， на каждом из этапов которого важны одни показатели и неважны другие。 Польза от книги усиливается и тем， что рассмотрены различные типы стартапов: SaaS， площадки для торговли и ещё несколько других。 Отличное дополнение к книге Lean Startup。

Noel Hayes ，

not as good as lean startup， few key nuggets and frameworks but nothing special。

Hatem ，

Confined and bored， decided to give a this book a read。 Lean Analytics is one of the Lean books， a series curated by Eric Ries， founder of the Lean movement and author of The Lean Startup。“Data is the antidote to delusion。”- Alistair Croll & Benjamin YoskovitzThis book is mainly tailored to companies at the startup or the founding phase。 It gives a couple of lessons on how to leverage data to be on you side and scale up。 It mainly goes through what are the most metrics for different business mod Confined and bored， decided to give a this book a read。 Lean Analytics is one of the Lean books， a series curated by Eric Ries， founder of the Lean movement and author of The Lean Startup。“Data is the antidote to delusion。”- Alistair Croll & Benjamin YoskovitzThis book is mainly tailored to companies at the startup or the founding phase。 It gives a couple of lessons on how to leverage data to be on you side and scale up。 It mainly goes through what are the most metrics for different business models throughout different stages。Not all statistics is useful。 Be Data-informed， not data-driven。This is one of the hardest lessons for anybody working with data professionally。 The book explains why data should be the passenger not the driver in your decisions starting a new business。 Choosing the right metric and even defining what a “metric” is may sound simple， but it has lots into it。Choosing the right metric is also highly correlated to your business type。 Is it SaaS？ e-Commerce， Mobile App， Two-Sided Marketplaces， User-generated Content， or a Media site。 The book explains what are the right metrics and their baseline for each of these models。Focus: Pick one metric and make it actionable。Although this may sound unproductive but the authors stress on the fact that you should focus only on one， key metric at a time。Stages: Which data at what time？The book describes the lifecycle of each company in phases and explains how its data model should transform at each stage。 The main phases:1。 Empathy: This is where you connect with other people to determine a real problem that they have， which you can solve。2。 Stickiness: Where you figure out how to efficiently solve that problem in a way that people would be happy to pay for。3。 Virality: Here you build product features that keep people coming back and referring friends to make the product itself better。4。 Revenue: That’s when you start growing， expanding， and making sure you’re profitable。 Scale。 When your company tries to enter new markets and starts hiring a lot， you know you’re scaling up。Personally I think this book is highly valuable if you are starting an online business。 The agility of measuring， creating， and switching metrics is a luxury only Internet business posses。 Honestly， while all of the advice in the book can be extremely helpful， they render themself impractical in a corporate or enterprise environment。 。。。more

Chloe Liu ，

This is a great book for analytic people as well as new founders。

Ruhao ，

it's more of a practical reference book depending on which startup stages you at but its a pretty fun read as well。 it's more of a practical reference book depending on which startup stages you at but its a pretty fun read as well。 。。。more

Abhilashkedlaya ，

Great book to understand how to use data to drive decision making， particularly in startups。 Most of the insights/approaches are also transferable to specific areas like product development in larger companies。 The book has chapters devoted to different verticals and can help technical data analysis audiences in developing a more business oriented outlook

Bruno Benevides ，

A book really good not only for start ups but big companies as well。 It gave a lot of insights in the way to adapt my tech software， hardares and services metrics。

Hamide meraj ，

It was a really useful book for me because I've worked in a two-sided marketplace and I really need some information about the jargon that we use in our business。 I think it is a must_hae book for every entrepreneur and everyone who wants to start a new business。This book shows you how to validate your idea in every stage of your business， find the right customers， decide what to build， how to monetize your business。 Packed with more than thirty case studies and insights from over a hundred busi It was a really useful book for me because I've worked in a two-sided marketplace and I really need some information about the jargon that we use in our business。 I think it is a must_hae book for every entrepreneur and everyone who wants to start a new business。This book shows you how to validate your idea in every stage of your business， find the right customers， decide what to build， how to monetize your business。 Packed with more than thirty case studies and insights from over a hundred business experts。it is necessary for me to read it again to understand it better 。。。more

Catherine ，

For those who need a quick learning of data analytics， this book will do well。

Imzen ，

The rating distribution of towards 4 and 5， which means this book is excellent。 And there are some negative comments; I am sure these are people who expected the reader would feed them with business secrets to win。 This book is written on teaching a man to fish， which is the best approach to teach。

Anastasia ，

Good read for getting a sense of the metrics that are important to track for different businesses。 I'd say this is more of a reference book than a consistent read because it has in-depth info about various stages of business and the metrics that are important to consider。 With that in mind， it makes sense to re-red those sections as and when you get to those stages。What I really like is that this book synthesizes a bunch of different frameworks and approaches into one place - you can 'pick your Good read for getting a sense of the metrics that are important to track for different businesses。 I'd say this is more of a reference book than a consistent read because it has in-depth info about various stages of business and the metrics that are important to consider。 With that in mind， it makes sense to re-red those sections as and when you get to those stages。What I really like is that this book synthesizes a bunch of different frameworks and approaches into one place - you can 'pick your own adventure' as you go。 Additionally， it differentiates important metrics depending on the kind of business you have - so ecommerce will have different recommendations than SaaS， media sites， user-generated content， etc。 。。。more

Toni Tassani ，

Very recommended by many people， but probably I arrived late。 Some examples sound outdated now and the ideas behind the stages of Empathy， Stickiness， Virality， Revenue and Scale are well spread。I was hard to read and repetitive。It could be read going only to the type of business you are interested in， skipping a lot of chapters。

Louis Korczowski ，

Certainement une lecture nécessaire pour comprendre et utiliser les métriques clefs de votre start-up au bout moment et à bon escient。Cependant le livre est assez sec et assez répétitif。 Je pense que cela aurait été difficilement de faire mieux。A avoir dans votre bibliothèque et à lire mais certainement pas en premier。Lisez Running Lean avant， sans quoi， la majorité du contenu sera sorti du contexte principale。

Ramil ，

Must read book for new business starters。 Talks about different business models and metrics we should keep our eyes on to track our progress， gives some useful hints and attempts to tackle in detail the stages each startup goes through from its launch

Pulak （Nick） Khurana ，

Another must read for tech entrepreneurs， I think。Again， luck and timing （which is part of luck） and idea， in my opinion play a massive role in success， but we can save ourselves a lot of wasted time and effort by tracking and measuring the ROI of our time and effort。

Bemsson ，

The must read for data marketersThis is a great book to get Analytics work for you。 At this time， the only claim that I have is that they are not considering e-learning as a business model。 I think it's because this model is sort of new。 But， at the end is a very good book and a must read for data marketers。 The must read for data marketersThis is a great book to get Analytics work for you。 At this time， the only claim that I have is that they are not considering e-learning as a business model。 I think it's because this model is sort of new。 But， at the end is a very good book and a must read for data marketers。 。。。more

Gene Ishchuk ，

it is quite good， I knew the majority of it but it makes sense to revise it from time to time

Reference

google book https://www.google.com/search?tbm=bks&q=Lean Analytics: Use Data to Build a Better Startup Faster

hathitrust digital library https://babel.hathitrust.org/cgi/ls?q1=Lean Analytics: Use Data to Build a Better Startup Faster&field1=ocr&a=srchls&ft=ft&lmt=ft

The British Library https://bll01.primo.exlibrisgroup.com/discovery/search?query=any,contains,Lean Analytics: Use Data to Build a Better Startup Faster&tab=LibraryCatalog&search_scope=Not_BL_Suppress&vid=44BL_INST:BLL01&lang=en&offset=0