Metrics & data
Three Metrics That Actually Matter When You're Testing Solo
Testers may need to take different approaches in different environments. As Katja Obring explains, this also applies to quality metrics.
It's related to Katja's experience From Drowning in Data to Driving Decisions: A Solo Tester’s Journey.
Optimising QA Workflows with DORA's Lead Time for Changes Metric
Having shared about the 10th DORA report in the previous issue, it's good timing for this article by Katja Obring.
And so is for this one about DORA Report 2024: Three Ideas to Tackle the Cons of Platform Usage by Areti Panou.
Continuous Integration Benchmark Metrics
How would you measure the robustness of your CI solution? Michael Küsters suggests six key metrics that can help you assess and improve the pipeline.
Engineering Metrics: 12 Pitfalls
Engineering metrics are great but only if done right. Here are the common pitfalls that Mojtaba Hosseini has seen in his career.
A good follow-up read to that is A View of Metrics and Measurement by Jay Trommer.
Over the past few weeks, Angela Riggs put together an insightful series of five articles about managing metrics, including some practical advice. You can read the following parts here: part 2, part 3, part 4 and part 5.
Michael Küsters advises on how to use a metrics system and warns against the common pitfalls.
Interested in some examples? Angela Riggs wrote a great overview of Service Level Metrics.
Having good metrics is often a key to improving the quality of your product and services. But they may also be misleading, as Martin Ivison explains.
This is a great reminder from Lisa Crispin about what metrics are really about. Sometimes it's easy to forget about it.
