
"Lean Analytics" transforms startup success with data-driven decision making. A decade after publication, it remains the missing piece in the Lean Startup puzzle - praised by Dan Martell as essential reading for both startups and established organizations seeking growth through actionable metrics.
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Ninety percent of startups fail. That's not pessimism-it's reality. Yet some companies defy these odds, transforming from scrappy ideas into industry giants. What separates the winners from the wreckage? The answer isn't better ideas or harder work-it's better measurement. Most founders chase vanity metrics that feel good but drive nothing. They celebrate website traffic while ignoring conversion rates, boast about user signups while hemorrhaging customers through the back door. Lean Analytics offers something different: a disciplined framework for knowing what to measure, when to measure it, and how to act on what you discover. Imagine trying to steer a ship while watching fifty different compasses simultaneously. That's how most startups operate-tracking dozens of metrics without knowing which one actually matters. The solution is deceptively simple: identify your One Metric That Matters (OMTM) and make it your North Star. This isn't a permanent choice-your OMTM evolves as your business grows. Early on, it might be customer interview scores. Later, user engagement or revenue per customer. The magic happens when everyone from engineering to marketing wakes up asking the same question: "How do we move this number?" Consider Moz, the SEO software company. Despite having access to countless analytics, they obsess over "Net Adds"-new paid subscribers minus cancellations. This single metric instantly reveals whether their business is growing or shrinking. When their lead investor Brad Feld suggested tracking fewer KPIs, it wasn't laziness-it was wisdom. Too many metrics create paralysis, not insight.
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Creato da alumni della Columbia University a San Francisco
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Creato da alumni della Columbia University a San Francisco

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