Category posts
Product analytics: tools and hints

It’s a competitive world out there. To win over users, products have to contend with the alternatives already on the market.

There are ways of measuring audience size, revenue, and downloads for competing apps so that you get a better understanding of the situation and market trends. With these tools, you can adjust your growth strategy and find benchmarks for key metrics for products similar to yours. 

In this article, we will look at the tools that can help you to do this. Special emphasis will go to those available for free.  

Data-driven decision-making is essential for success in product management. And one of the important parts of any kind of data-driven work is measuring and understanding central tendencies in data samples. 

Central tendencies refer to the typical or average values of a set of data points, and they can provide insights into the overall performance of your product. Measuring central tendencies is becoming increasingly important in any kind of decision-making that involves data. And product managers have to make decisions based on data on a daily basis.

There are several ways to measure central tendencies, but the most commonly used methods are arithmetic mean and median. In this article, we will explore these two measures, compare them, and see how they can be used in product work.

As product managers, we regularly use percentages in different ways to measure different metrics. But despite their intuitive simplicity, percentages have different nuances that can make them confusing or misleading if used improperly.

In this article, we’ll discuss percentages, percentage points, and percentiles, along with their uses in product management along with best practices and pitfalls to avoid.