Metrics on Konstantin Zavarov

Calculating Classic, Rolling, and Full Retention in Python

Wed, 16 Aug 2023 12:00:00 +0300

In this post, I want to walk through how to manually calculate 3 types of Retention metrics using Python and Pandas, and how to plot a Retention curve with Matplotlib. Most of the time, a product manager will rely on an analytics platform for data analysis — but let’s imagine our PM has been stranded on a desert island with nothing but a Python interpreter and a few extra libraries. That’s exactly what we’ll work with.

Chart Templates for Data Visualization

Wed, 19 Jul 2023 12:00:00 +0300

Product managers present constantly: they run research → share findings; a new quarter kicks off → they set goals; a quarter, half-year, or year wraps up → they review results; and so on.

Data visualization is often the weakest part of these presentations, so I decided to put together a Google Sheets template where I’ll collect and update reference chart examples covering the most common product, business, and financial data scenarios.

A/B Test Design Template

Mon, 22 Aug 2022 12:00:00 +0300

A Google Sheets template for designing A/B tests. It helps you structure an experiment before launch — from writing the hypothesis to calculating how long the test should run.

Download template

What’s inside

Experiment description — a hypothesis written in the format: «If [product change], then [target metric] will change by [expected result], because [research data].» This section also captures the target metric and the experiment start date.