Flagsmith vs. Statsig

Flagsmith is the best tool I worked with for feature flags, in terms of how easy and intuitive it is to use. On the other hand, it has all the features we need to effectively manage features.

Incentivized

This is clearly a platform built around experimentation first, and it shows. In this way Statsig is way ahead of the competition of products I've used previously! It's more data science focussed which makes configuration of new experiments complex with a learning curve.

Incentivized

• Controle features feasability
• Create user segements
• Mange multiple environments

Incentivized

• Makes setting up experiments easy
• Really responsive support
• Advanced experimental config for detailed statistical analysis
• Post experiment analysis tools

Incentivized

• Search users based on traits

Incentivized

• Complex data science focussed UI

Incentivized

For the most part it is pretty easy to use. - There are some quirks with the javascript SDK (getExperiment().getValue?). - The Events vs. Metrics design pattern is complex, and creating new Metrics from Events can be frustrating if you are trying to use event metadata - It's really frustrating not to be able to link Static IDs (before a user signs up) to User IDs, in order to follow users all the way through onboarding, or to log events that occur for signed in users when you are exposing the experiment to users before they've signed up

Incentivized

Incentivized

• We can be very flexible to client needs by quickly deploying new features behind flags.
• We can support the sales dept by deploying demo features without risk to stability.

Incentivized

• We uncovered several feature releases that were causing a negative impact on our product activation rate by running exclusion experiments

Incentivized