The scale stage is the second of three stages in a startup's life. In this post, we discuss what product-market fit means, and then we look at healthy growth (the kind that leads to winning) and unhealthy growth (the kind that leads to company death).
A startup's first job is to create a customer. We take a closer look at how that affects the metrics you measure at the product stage of a startup's lifecycle.
When your company grows, the metrics that matter changes along with it. Here's a look at the three growth stages of every company, along with the metrics that matter most at each stage.
One way to get better at business communication is to learn the fundamentals of business. We explain Return on Invested Capital from first principles, written with the data analyst in mind.
If you work in data analytics, communicating complex information is just part of your job. Here's how to use the Ladder of Inference to get better at it.
Why data quality is an ongoing, people, process, and tools problem, and how to think about getting better at it.
What a new approach to slowly changing dimensions tell us about the future of dimensional data modeling.
Why maturity models can be a bad idea, and why using a capability model is a better idea for digital transformation.
Tracking the performance of your software development team is really, really difficult. The 2018 book Accelerate: The Science of Lean Software and DevOps gives us a fantastic way to measure just that. Here's how.