Some actual code to explore a simple way to use GraphQL with a Ruby on Rails 5 app
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GraphQL on Rails, part 2/2
GraphQL on Rails, part 1/2
A short exploration of using GraphQL to query a Rails 5 API
Read moreThinking Inside The Boxplot
In a previous post describing a simple approach to de-seasonalizing your data, I covered how marketers can examine, at a rough level, the impact of seasonality on metrics. Obviously, your data science team would be looking at this data in
Read moreTis The Seasonality Of Your Metrics
I want to show you a technique to fix another common time-series problem: seasonality. The article will illustrate a fast and simple way to de-seasonalize your data.
Read moreKeep An Infinite Memory for your Metrics
The Exponential Moving Average (“EMA”) is a very useful tool in your metrics arsenal because in the EMA the memory of past metrics values is never forgotten
Read moreSetting Up Your Negative Metrics
This is a continuation of my exploration of negative metrics thread which covers how to think about your negative metrics and how to set them up as part of your testing and optimization process. It’s based on earlier work I’ve published
Read moreI Before E, Except After C
“I Before E, Except After C” — do you remember that from 4th grade spelling? Well, it works just as well when you’re concentrating on your metrics and optimization program. What do the letters mean? Read this entire article over
Read moreI, Deceiver
This is a follow up to my previous article “Oh, What A Tangled Web We Weave” which discusses 8 common ways we practice self-deception on ourselves, particularly in the context of metrics, analytics, and continuous improvement testing. Continuing with our
Read moreOh, What A Tangled Web We Weave …
“Oh, What A Tangled Web We Weave, When First We Practice To {Self} Deceive” With apologies to Sir Walter Scott and my mangling of his most popular turn of phrase, I’d like to take some time now to discuss how
Read moreThe Value of Nothing
When is nothing worth something? Turns out, just about all the time. Whenever you look at your metrics consider that a metric is, in virtually every case, designed to measure a specific outcome. It may be a positive outcome, one
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