What was first, the question or the answer?

Data matters. metrics metters. Asking the right question in order to se the right metrcis and anlyse the right data matter even more.

Second year of college. Statistics exam. In Romania, the grades are from 1, very bad, to 10, very good. Usually the grade for an exam starts from 1 (for encouragement). If I would add up the grades from my first five attempts to pass the exam, well, I wouldn’t get to 10. Lucky, sixth time was a charm. I wasn’t a bad student at all. But I had to attraction for statistics and probabilities. 

Fast forward 20 years later. In all this time I gained a lot of experience on how to build both products and teams which will deliver products. I am passionate about both. And in order to do that right, I become passionate about growth. Anders Ericsson showed how important is to rely on metrics when it comes to growth. 

Thinking Fast and Slow shows us how bad are we when it comes to statistical intuition. which again enforce that good decisions relies on good data. Good data combined with our personal interpretation of it.

Last 14 years of building products and teams throw me in the middle of something that people call Agile mindset. Which strange enough, fits me like a glove on the hand. It’s all about adapting, learning, growing. It’s so simple and so complicated in the same time. learning curve is accentuated by data. But a lot of data to rely on, a lot of ownership and decision making makes it hard. And we want to do all this with pace.

U Curve: less is no good, but too much is no good also. having no metrics is not good, but also having metrics just for the sake of having them, and pushing the limits on how we use them can lead to: waste in effort, demotivation of team, removing the sense of ownership. So  how can we balance and how can we stay on top of the curve? By asking the right questions.

When trying to start with Agile in mind from scratch, when dealing with an Agile transformation or adoption or whatever we want to boost our current expertise the options are unlimited. The answers are there, but there are so many different context and combinations of solution that the is not a one -size fit all solution. But there is a will: to progress, to grow. And as mentioned before metrics will help. And what else will help is knowing to ask good question so that path we take is not a dead end from the start.

The book purpose is to offer the reader a strong set of questions to ask when dealing with Agile adoption. And when is possible to show sample of good metrics to support and decision and the right way to use them.