Audio Book Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly)) with Free PDF EDITION Download Now!

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 4,6

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PDF Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly)) with Free MOBI EDITION Download Now!

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.

At this time of writing, The Ebook Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly)) has garnered 8 customer reviews with rating of 5 out of 5 stars. Not a bad score at all as if you round it off, it’s actually a perfect TEN already. From the looks of that rating, we can say the Ebook is Good TO READ!

PDF Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly)) with Free MOBI EDITION!

This book tries to do too much for too many audiences. The real lesson of the book is focus! A focused metric to steer a focused ship. However, the book is lost in its own fog. It comprehensively covers metrics to track for 6 different types of business in three different lifestyle stages. Most of these metrics are given a few sentences of detail, but are not covered in depth. Frankly, the authors should have cut out this part of the book because it diluted some critical and challenging insights. The real problem regarding being a data driven startup (how to choose the right metric and how to measure that metric) gets some coverage, but the overall message loses its lustre.This is a really hard problem, and regrettably the book hardly touches on it. Many product methodology books (which adhere to a data driven strategy) cover this question in more detail.An alternative in the same series is: Lean Customer Development.

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