While looking for events correlated with that outcome, they stumbled across a connection between early friend acquisition and retention. The early growth team at Facebook got started by closely observing those users who stuck with Facebook and kept using it over the long term. The work at Facebook was data-informed-not data-driven-in that the key insights came from the intuition of people who knew the product and its users. It's thought that it was part of the logic of Facebook itself, a physical law underlying its growth, and once it was found, Facebook's fate was all but sealed. People assume that the process at Facebook was totally data-driven-that “7 friends in 10 days” was a capital-T truth, which after being discovered, set the agenda for the entire company. Data is part of a larger context, one which acknowledges the possibility of bias in both its collection and analysis. The qualitative complement the quantitative, and vice versa. Too many companies think data should be their only guide and wind up over-optimizing small things rather than developing a bigger product vision.īeing data-informed means using both intuition and data to come up with testable hypotheses about your product. #Whats an aha moment fullBut, here's the catch-data is never going to tell you the full story, and it's never going to tell you exactly what you need to do next to keep growing. When data guides your decision-making, you're always collecting more of it to have the most accurate models and find trends. Data-informed: You let data act as a check on your intuition.Data-driven: You let the data guide your decision-making process.This is the fundamental difference between being data-driven and being data-informed: That's table stakes. The thing that separates great companies from the rest, however, lies in how much of the thinking they do themselves and how much of it is left to the data. From the tracking of fundamental metrics like revenue and burn rate to KPIs and success metrics that vary between teams, organizations today need data to guide decision-making. The difference between driven and informedĮvery massively successful tech company from Google to Uber has found its competitive advantage in data. But at Scuba, we prefer to talk about being data-informed, rather than data-driven. It's better to use data than to not, of course. The tale of “7 friends in 10 days” became an overly simplistic rallying cry for the idea that startups should be data-driven, rather than relying on intuition, but this interpretation glosses over some of the crucial facts of the story. It was a multi-year process of intuitive judgment, exemplary people management-and yes, data analysis-that created this “Aha! moment.” The data sounds straightforward, but this lightning bolt of discovery didn’t just happen overnight. Take, for example, Facebook’s “Aha! Moment,” when they realized that the key to user loyalty boiled down to new users earning 7 friends in their first ten days. While the stories of “Aha! Moments’” seem like a dime a dozen, the journey is far more complex than it appears. The moment when the value of your product resonates with your users. In the tech community, product leaders love sharing their ‘Aha! Moment.’ The zap of sudden insight and discovery.
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