Angular Feature Flags vs. Statsig

Feature Flags are well suited for apps which are being developed across numerous teams in order to extend and basically enable/disable whatever areas of the app you want. It's not really necessary for an individual developer or perhaps even a single team of developers, depending.

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

• Allows for easy configuration of what you may define as features
• Allows for a customization layer to utilize Feature Flags

Incentivized

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

Incentivized

• Would be nice if there were a built in route guard and more end to end solution out of the box I suppose

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

We still utilize Git as our source control system but Feature Flags allow us to use Git in a less complex and more efficient way for our development needs.

Incentivized

Incentivized

• I would say a large ROI considering the reduction in branching and merging we need to perform and also the ability to use common, up to date code across teams. There's a lot of shared code we make use of, particularly with identity and authentication and our entire identity platform which is essentially used by each feature.

Incentivized

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

Incentivized