Why users choose to use them. When I started this project I expected that the completely new and unique features and products to be the problem children of QA. Once again the data has proved me wrong. In fact, the App Specific Features bring at least 9. Which when you really think about it, makes sense. That one feature is tested over and over by the devs before it even makes it into QA. Before it even makes it into a crowd-sourced exploratory testing cycle.
The reason there are any bugs at all is because of a few different reasons. Because new perspectives bring new use cases. And because our testers are that good. The profiles. The email integrations. And the search functions. And as a side effect, we found out a thing of two about our processes, our bugs and our testers. We give our testers 48 hours to test excluding weekends. And looking at when the bugs are submitted over the timeline of a cycle, we found that velocity slows over time.
But what was really interesting is that for the Critical and Usability bugs, the majority of them were found in the first 24 hours.
And we learnt a lot about how we can change things to make it easier for next time. We need standardised ways for testers to enter device data. No one wants to manually sift through tens of thousands of bug reports looking at the devices. We need to rethink the way we categorise our bugs. A lot of that categorisation was manual. By me. Login vs. Sign in vs. Register vs. Onboarding vs. It was the opposite of fun.
And aside from my manual data cleanup woes, it has also highlighted another area where standardisation could help us on our path to being data champions. The last key learning was about the many countries and languages that were involved in our tests. Across all of our cycles - global and localised, we had testers from 82 countries. Bringing new perspectives and unique experiences to our testing community every day.
Subscribe to the blog to stay tuned for the next installation of Bug Wars. Sasha is a self-professed data aficionado, she spends her days analysing data to understand how people all over the world use apps and the internet. And her nights practicing for the next time someone suggests karaoke.
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