Saved by Jilber Najem and
Be Good-Argument-Driven, Not Data-Driven
Statistics and reports based on data can also be destructive when it comes to creativity. They’re liable to create a hard stop in an argument and shut down our will to reason. Instead of having healthy debates to reconcile different opinions and instincts, data-driven facts tend to cut the conversation and subsequent exploration of the full terrain
... See moreScott Belsky • The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture
We should be data-informed, not data-driven. Mostly,
Alistair Croll • Lean Analytics: Use Data to Build a Better Startup Faster (Lean (O'Reilly))
This isn’t just about bad ideas, poor execution and apathy — it’s about the broader culture we’ve created around innovation. It’s become too hard to stop, reflect, interrogate and interject with fresh ideas, while KPIs run the show.
We’re not solving real problems; we’re searching for validation .
As marketer and author Rory... See more
Matt Klein • Self-Sabotaging Innovation: The Art of Doing Dumb Shit
We love data. It answers questions. But the definitive nature of data means you must use it with caution. When presented with a statistic that has broad implications, your first question should be about its integrity. Where did it come from? What was the sample size, time range, and breakdown of people from whom the stat was captured? What is the c
... See moreScott Belsky • The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture
Yet many of us who have tried to use data to inform decisions in organizations have experienced a different reality. One where we are constantly confused by how metrics are defined, bicker over how to interpret various analyses, and struggle to apply the insights into action.
Julie Zhuo • The Data-Informed Manifesto
We believe that being data-informed comes down to internalizing a set of values. These are simple, few, yet exceedingly powerful:
- Conviction around a purpose rather than searching for meaning in numbers
- Setting verifiable goals rather than vague aspirations
- Company-wide familiarity with metrics rather than outsourcing to “data peo