Flagsmith Experiments - Open-source A/B testing built on your feature flags
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Flagsmith now runs A/B tests on the flags you already use. Pick a flag and a metric, and get a Bayesian read on which variant wins. Use our managed warehouse or bring your own ClickHouse or Databricks. Free and open source, self-hosted or cloud.


Replies
What if we change the audience segment in the middle of an experiment? What does that do to the results?
@michelle_bankas really interesting questions
@michelle_bankas Jumping in as @asaph_kotzin1 initial answer has disappeared :).
Indeed, great questions. From the results perspective, nothing changes, except the distribution percentage might take a while to re-align.
But from the experiment result interpretation perspective, that might make it more difficult to understand what the results of the experiments actually mean.
Was there any audience change that you had in mind ?
does an exposure mean the flag was evaluated or the person actually saw the variant?
@saad_el_gueddari Good question. The best practice is to fire the exposure when the user enters the experiment. The idea behind is to tell the story of "The user entered my experimentation, is the variant he received has helped trigger the success event?".
If he is exposed outside the experiment, that would skew the quality of the experiment
Quick question: Could cloudflare be used to host? Thanks
Going back to the same flag to roll out or roll back feels like a sensible way to finish an experiment. Keeping that last step close to the result could make it easier to act on what you learn.
@oleksii_sekundant thanks Oleksii, we agree :) we're already working on even tighter integration between the end of an experiment and changes to the underlying flag.