Lean Analytics
Use Data to Build a Better Startup Faster
Publisher: O'Reilly Media
Released: March 2013
Pages: 440

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
Table of Contents
Product Details
About the Author
Recommended for You
Customer Reviews

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by PowerReviews
oreillyLean Analytics
 
4.2

(based on 19 reviews)

Ratings Distribution

  • 5 Stars

     

    (6)

  • 4 Stars

     

    (10)

  • 3 Stars

     

    (3)

  • 2 Stars

     

    (0)

  • 1 Stars

     

    (0)

94%

of respondents would recommend this to a friend.

Pros

  • Helpful examples (14)
  • Well-written (14)
  • Easy to understand (13)
  • Accurate (6)
  • Concise (6)

Cons

    Best Uses

    • Intermediate (14)
    • Novice (9)
    • Expert (8)
      • Reviewer Profile:
      • Developer (8), Designer (4), Maker (4), Educator (3)

    Reviewed by 19 customers

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    4.0

    Practical Principles For Every Company

    By Eric B.

    from Atlanta, GA

    About Me Designer, Developer, Educator

    Pros

    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate

      Comments about oreilly Lean Analytics:

      Lean Analytics by Alistair Croll and Benjamin Yoskovitz is part of The Lean Series offered by O'Reilly Media. In this book you will learn how to figure out your business model and your stage of growth. You will then be challenged 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."
      Although this book is primarily for start-ups you can apply the principles outlined by Croll and Yoskovitz in any company, division, or department you find yourself. The practice of lean analytics will speed you on your way to success with new projects, products, and business development verticals.
      First, pinpoint your business model. Several of the business models covered here are:
      - E-Commerce
      - Software as a Service (SaaS)
      - Free Mobile App
      - User-Generated Content
      - and more.
      Next you're encouraged to find the stage you are in. This will be one of the following five:
      1. Empathy
      2. Stickiness
      3. Virality
      4. Revenue
      5. Scale
      These two elements will then determine the one key metric you should measure most at this time. Setting a goal, or as the authors say–drawing a line in the sand, will help you see how well you are doing as you measure and track progress.
      The book is full of good data, reports, and case studies. The principles you will be applying are not pie-in-the-sky but practical and tested by numerous organizations.
      If you have read some of The Lean Series, this is a must addition as it expands on topics you may have already heard about. If you have not read this book and you are, or want to apply lean principles to your work place pick up a copy today.

       
      5.0

      Brilliant

      By gabe

      from Vancouver, BC

      Verified Buyer

      Pros

      • Easy to understand
      • Helpful examples
      • Well-written

      Cons

        Best Uses

        • Expert
        • Intermediate

        Comments about oreilly Lean Analytics:

        As a Product Manager for a digital service, this book was indispensable.

         
        4.0

        Not bad

        By S. Peddenton

        from Scotland

        Pros

        • Accurate
        • Concise
        • Well-written

        Cons

        • Not deep enough

        Best Uses

        • Intermediate

        Comments about oreilly Lean Analytics:

        I read the book thoroughly today. Thought I'd just leave a review. It's easy to read really. But as some other reviewers said, it leaves big gaps on subject here and there. Overall, I'd recommend this book to my friends.

         
        4.0

        Good overview

        By Peter

        from Edinburgh

        About Me Educator

        Pros

        • Easy to understand
        • Helpful examples
        • Well-written

        Cons

        • Needs More References

        Best Uses

        • Intermediate
        • Novice

        Comments about oreilly Lean Analytics:

        This book seems to give a good insight into the issues that a real world entrepreneur would need to consider. It's probably a good thing that the authors aren't too prescriptive, focussing instead on stories and examples.

        As an educator I find it a little frustrating that there isn't much in the way of references to the research or for further/ advanced reading - hence, I wouldn't say this book is for experts.

        (1 of 1 customers found this review helpful)

         
        5.0

        The next evolution Lean Startup

        By @startupcfo

        from Toronto

        Verified Reviewer

        Pros

        • Accurate
        • Helpful examples
        • Well-written

        Cons

          Best Uses

          • Expert
          • Intermediate
          • Novice

          Comments about oreilly Lean Analytics:

          As an investor and company operator, I have been following the lean startup movement since it's inception. It is having a huge impact on the creation and progression of new companies and products. In my view, the best companies are data driven. The advice in Lean Analytics represents the next logical step in the lean startup movement - helping you instrument your company and product so that you can measure what's working and what's not. This is a must have book for anyone looking to build great products and companies.

          (0 of 3 customers found this review helpful)

           
          3.0

          Sync Problems

          By Paul

          from Boston, MA

          Verified Reviewer

          Comments about oreilly Lean Analytics:

          Book has met my expectations.

           
          4.0

          Life changing

          By A Denevér

          from Tampere

          About Me Designer, Developer, Educator, Maker, Sys Admin

          Verified Reviewer

          Pros

          • Accurate
          • Concise
          • Easy to understand
          • Helpful examples
          • Well-written

          Cons

            Best Uses

            • Expert
            • Intermediate

            Comments about oreilly Lean Analytics:

            Good stuff to read and discuss. Excellent structure, will take some time to read. Some numbers has no visuals, what would them harder to recall.

            (1 of 1 customers found this review helpful)

             
            4.0

            Must have for startups

            By Dozza

            from Sydney, Australia

            About Me Developer

            Verified Reviewer

            Pros

            • Accurate
            • Easy to understand
            • Helpful examples
            • Well-written

            Cons

            • Quite Niche

            Best Uses

            • Expert
            • Intermediate

            Comments about oreilly Lean Analytics:

            Don't let the title deceive you, this book isn't lean by any means, but choc-full of pragmatic information on how to adjust your analytical strategy to follow only the information that is relevant to your business. For me, Lean Analytics by Alistair Croll, Benjamin Yoskovitz, opened me up to a whole new way of thinking, and how to align business focus by removing a lot of the analytical noise that does nothing for you.

            The book kicks off with the first part arguing the merits of data and why it is essential for your business to succeed, going through some basic qualitative and quantitative data, correlation, vanity metrics and adjusting so that you are not too data-driven (yes there is such a thing), lessons on the fundamentals of analysis.

            The book then progresses to the second part, after the fundamentals of analytics have been explained, hones in on specific business models and focusing on the metrics that are relevant for your business. The first chapter deals with the Analytics Framework, by going through some established ones before creating your own customised augmented framework.

            Then the author goes through a series of metric models, allowing you to affine yourself with one that's the most applicable. And this is also precedented by what stage your business is at, so measuring everything at once isn't practical. The author then guides the reader to work out which stage of the cycle their business is in, to work out what metric is most important.

            The final series of chapters is the most practical of the lot, after knowing where your business lies and the framework to use, the metrics and model to apply, the author gathers some stats from various startups to allow you to correlate how you fare compared against those businesses. Or as the authors put it, a line is drawn in the sand, to allow you to benchmark yourself with confidence.

            This book has been extremely useful for me, and even more for those of you looking at a startup and with your limited time and budget, finding the information that is applicable to you. The chapters are well versed and organised, succinct and pragmatic, and thus worthy of my upmost praise. This book isn't for everyone, but if you are in the right segment, this book will prove invaluable.

            (0 of 1 customers found this review helpful)

             
            3.0

            Not what I expected, my fault.

            By Mike The Geek

            from Nashville, TN

            About Me Developer, Maker, Sys Admin

            Pros

            • Easy to understand

            Cons

            • Not comprehensive enough
            • Too basic

            Best Uses

            • Novice

            Comments about oreilly Lean Analytics:

            I was expecting a far more technical discussion, and didn't realize the book seems targeted towards business analysis of start-ups, although there are chapters addressing other situations.

            (1 of 1 customers found this review helpful)

             
            5.0

            Un libro imprescindible

            By DGGONZALEZ

            from Buenos Aires, Argentina

            About Me Writer

            Verified Reviewer

            Pros

            • Easy to understand
            • Helpful examples
            • Well-written

            Cons

              Best Uses

              • Expert
              • Intermediate
              • Novice
              • Student

              Comments about oreilly Lean Analytics:

              Henry Mintzberg desarrollo el concepto de que a cada época le corresponde un tipo de organización y que ese tipo de organización tendrá una estructura y un sistema de planeamiento y control que le es propio.

              En ese sentido las startup, compañías fuertemente centradas en la innovación, incorporan características que le son propias y los novedosos desafíos que traen los mercados basados en las nuevas tecnologías no pueden echar mano de la metodología desarrollada hasta el momento por las Ciencias Económicas.

              En este libro los dos autores con más de 15 años de experiencia conduciendo sus propias startup logren inculcar en el lector la idea de la importancia de recopilar y ordenar los datos de manera que se conviertan en información útil para el análisis y toma de decisiones y su aplicación en diferentes modelos de negocio. También explican como crear una "Cultura de Datos" en la organización y como deberá actuar esta en la era de los Grandes Datos.

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