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Lessons Learned: Validated learning about customers

Startup Lessons Learned

Products can find sources of validation with impressive stats along a number of dimensions, such as high engagement, viral coefficient, or long-term retention. Eric, I have Steves book and wish I had it for 1 couple of my earlier startups where the framework would have helped our team get on the same page.

Customer 167
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Lessons Learned: The hacker's lament

Startup Lessons Learned

Case Study: Continuous deployment makes releases n. Towards a new entrepreneurship ► 2009 (88) ► December (4) Continuous deployment for mission-critical applica. Tell your Startup Visa story Speaking 2010: Webstock, GDC, Web 2.0, and more ► January (6) Lo, my 18891 subscribers, who are you?

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Engagement loops: beyond viral

Startup Lessons Learned

Lessons Learned by Eric Ries Tuesday, December 16, 2008 Engagement loops: beyond viral Theres a great and growing corpus of writing about viral loops, the step-by-step optimizations you can use to encourage maximum growth of online products by having customers invite each other to join. This is essentially a version of the viral loop.

Viral 140
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Lessons Learned: The three drivers of growth for your business.

Startup Lessons Learned

is an elegant way to model any service-oriented business: Acquisition Activation Retention Referral Revenue We used a very similar scheme at IMVU, although we werent lucky enough to have started with this framework, and so had to derive a lot of it ourselves via trial and error. But its not really viral growth, even when its exponential.

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Lessons Learned: Don't launch

Startup Lessons Learned

If the viral coefficient is 0.9, You create an entire framework of understanding and action based on your product/idea that sets it in motion in a self-sustaining way. Case Study: Continuous deployment makes releases n. Pay attention to your fundamental driver of growth. keep iterating until its 1.1 before you launch.

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Lessons Learned: Getting started with split-testing

Startup Lessons Learned

Each experiment is like a little mystery, and if you can get into a mindset of open-mindedness about the answer, the answers will continually surprise and amaze you. A few days ago I open-sourced a framework for split-testing, A/B testing or continous optimization. Case Study: Continuous deployment makes releases n.