|
|
|
|
|
by ecaml
3002 days ago
|
|
Thanks for the advice! You're right: scientifically/formally speaking this cannot be considered an experiment but, in my opinion, for small and easy-to-change processes, there is no need to be formal. The goal sometimes is just to solve small pain points and make people happier at work, and in such cases the fact that people perceive that things are better after the experiment could be enough :) Obviously, this was just a simple case study and every perceived improvement could be due to confounding factors, as you say, or just to the fact that the experiment created awareness about a problem. Obviously, if an experiment touches something more relevant than slack messages, being more formal is a good thing and A/B testing is for sure a better approach. The point of the post was just to make people aware of the fact that changes in a team can happen without too much pain and that continuous improvement and experimentation are processes that can be implemented easily. |
|
Looking at your graph, it's not really clear that anything has changed significantly: when did the change get implemented? Is a couple weeks' change in activity a result of a couple of loud employees going on leave? There's such variability there that it's hard to say that anything has really changed.
I agree that a formal analysis isn't always necessary, but you don't appear to done _any_ here and are then couching a suggestion to try something on Slack as having measured something. That's just bad science! :D