![]() This ideology is derived from the popular children’s story and has been applied to many disciplines, including astronomy, biology, psychology, economics, and more. Huy Nguyenĭata Engineer turned Product writes SQL for a living.The Goldilocks Principle describes a situation that is just right rather than too much or not enough. Join 15k+ people to get insights from BI practitioners around the globe. If you have thoughts on those, let me know. I know this post has more questions than answers, but questions are all I have so far. I hope to share more with you in the next couple of weeks, when we have something more concrete. How might we teach generalizable data skills to business users? What is a Goldilocks-zone curve of progression? Can we build that into the BI tool itself? Or must it be an educational add-on? I don’t know which of these directions are fruitful, but we’re currently investigating them. ‘People, process and then tools’ are a thing for a good reason - you have to help the people first. ![]() I’ve been thinking about this a lot, ever since we started doubling down on ‘self-service BI’ as our core positioning. How many BI tools are built with this end-state in mind? And how do you accomplish it? Mode’s Benn Stancil wrote a few months ago that “self-service is a feeling”, and my colleague Cedric built on that to say “self-service is a business state”, where “the business is sufficiently data-driven, but the data org does not look like an army of English-to-SQL translators” Then, we've also talked a lot about self-service BI before. I wonder if they have a proper “data-driven” training curriculum for their incoming business executives, or is it all tacit knowledge? I just mean to say that I can’t seem to find one that’s public and generalisable and useful.Īnecdotally, Amazon is famous for printing a metrics deck at every WBR meeting. I don’t mean to say that no one has ever built such a thing, for if this were the case, we’d have no numbers-driven business executives. Surprisingly (or unsurprisingly?), I’ve found nearly no good training resources for this group of people. If you’re a data analyst getting into the space, I think there are plenty of resources catered for that ( this one from Matt Arderne is a good one).īut what about the business users trying to be more “data-driven”? What is a Goldilocks-zone curriculum for business users getting into data? These people aren’t trying to be full-time data analysts, they just want data to support their decisions. What does this have to do with a data blog, you ask? Lagom.” - Ok I made up the last part, I’m not sure if you actually need to say anything. So you drink your fill, then pass to the next guy and say “Here. It goes back to the time when the Vikings passed their horns around for everyone to drink their share. Technically it means “just enough” or “in moderation”. It turns out that the Swedes have a term for this: “lagom”. With a little concentration and training, you think you can get there. It’s slightly more than your current abilities. In other words, the task is not too easy, and not too hard. I’m referring specifically to the Goldilocks Rule: When learning or training for something new, you are most engaged when the task is at the edge your abilities. You are 100% engaged, and you’re even likely to improve your ping-pong skills over a period of time. That is, you win some points, you lose some points. I think for most casual players, the right choice is usually: you should compete with an opponent who is just marginally better than you. (Well except when you’re playing with your 10-year old son and you’re busy pretending to lose every point, in which case you’re not exactly competing, but just spending quality time with your kid. One is too easy, and the other is just too hard - so hard that you’ll give up. But guess what: Ma Long doesn’t make mistakes. You play full-on defense hoping that he’ll make a mistake. You can hardly return his serves even though you recognize the spin. This time, though, you look like the complete noob. He’s basically the Federer or Nadal equivalent of table tennis. Scenario two, you’re playing with Ma Long, one of the world’s best table tennis players. His return will always hit the net whenever you do a back spin. He can’t recognize if you’re doing a top spin or a back spin. This person has played very little ping-pong before. ![]() In the first scenario, you’re playing against your neighbor, who is a complete beginner. ![]() I just chose ping-pong because I am a recreational player, and I like playing it very much). ![]() (You can pick any other sport, or even video games for this example, by the way. You’re just decent, like most casual players. You’re not great, but you’re not a noob either. Imagine you’re a recreational table tennis player. ![]()
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