Eric Ries leanstartup at Berkeley/Columbia

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Steve Blank's Berkeley/Columbia Customer Development Class - Eric Ries Guest Lecture

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Eric Ries leanstartup at Berkeley/Columbia

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  7. Q"684$2%0%D3"A'2%E#2 “Do whatever is required to get to product/market fit. Including: changing out people, rewriting your product, moving into a different market, telling customers no when you don’t want to, telling customers yes when you don’t want to, raising that fourth round of highly dilutive venture capital —whatever is required.” — Marc Andreessen http://blog.pmarca.com/2007/06/the-pmarca-gu-2.html
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  21. IMVU
  22. IMVU
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  28. Traditional Product Development Unit of Progress: Advance to Next Stage Waterfall Requirements Specification Design Problem: known Solution: known Implementation Verification Maintenance
  29. Agile Product Development Unit of Progress: A line of Working Code “Product Owner” or in-house customer Problem: known Solution: unknown
  30. Product Development at Lean Startup Unit of Progress: Validated Learning About Customers ($$$) Customer Development Hypotheses, Problem: unknown Experiments, Insights Data, Solution: unknown Feedback, Insights
  31. Minimize TOTAL time through the loop IDEAS LEARN BUILD DATA CODE MEASURE
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  33. Small Batches IDEAS Learn Faster Build Faster LEARN BUILD Customer Development Continuous Deployment Five Whys Small Batches Continuous Integration Refactoring DATA CODE MEASURE Measure Faster Split Testing Actionable Metrics Net Promoter Score SEM
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  35. Continuous Deployment IDEAS Learn Faster Build Faster LEARN BUILD Customer Development Continuous Deployment Five Whys Small Batches Continuous Integration Refactoring DATA CODE MEASURE Measure Faster Split Testing Actionable Metrics Net Promoter Score SEM
  36. Continuous Deployment • Deploy new software quickly • At IMVU time from check-in to production = 20 minutes • Tell a good change from a bad change (quickly) • Revert a bad change quickly • And “shut down the line” • Work in small batches • At IMVU, a large batch = 3 days worth of work • Break large projects down into small batches
  37. Cluster Immune System What it looks like to ship one piece of code to production: • Run tests locally (SimpleTest, Selenium) o Everyone has a complete sandbox • Continuous Integration Server (BuildBot) o All tests must pass or “shut down the line” o Automatic feedback if the team is going too fast • Incremental deploy o Monitor cluster and business metrics in real-time o Reject changes that move metrics out-of-bounds • Alerting & Predictive monitoring (Nagios) o Monitor all metrics that stakeholders care about o If any metric goes out-of-bounds, wake somebody up o Use historical trends to predict acceptable bounds I,'7%$4(26='"(%(''%3%M3#;4"'/ o Fix the problem for customers o Improve your defenses at each level
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