Once you get the hang of the terminology and interface, it is fairly simple to manage feature flags and audiences for feature experimenting.

I am using optimizely to control which roles on my SaaS can see each feature. Its very easy to control experimentation and feature flag. Its very simp

I like the clarity of tracking different metrics, the tools to explain/achieve statistical significance, and the potential to connect to our data ware

It is quite easy to use once it is implemented, and above all the multiple options without having to modify much of the implemented code, being able t

I like the clarity of tracking different metrics, the tools to explain/achieve statistical significance, and the potential to connect to our data ware

Once you get the hang of the terminology and interface, it is fairly simple to manage feature flags and audiences for feature experimenting.

The most helpful ones are easy audience setup, feature enablement and setup

I like the clarity of tracking different metrics, the tools to explain/achieve statistical significance, and the potential to connect to our data ware

I like the clarity of tracking different metrics, the tools to explain/achieve statistical significance, and the potential to connect to our data ware

It is quite easy to use once it is implemented, and above all the multiple options without having to modify much of the implemented code, being able t

Being able to test and activate fully the feature in live via backends and apps

Once you get the hang of the terminology and interface, it is fairly simple to manage feature flags and audiences for feature experimenting.

Bucketing, this software offers bucketing when you want to run A/B tests however combining it with additional audience that you want to enable/disable

The only thing I didn't like was the implementation, it's true that the team was helping us a lot, but it took us a long time to implement it, first o

It's a little too expensive for a solopreneur such as myself. It's also a little too technical for me.

At the first time, we found a little hard to understand how to register and enable the feature experimentation in our product. But past that, we didn'

The only thing I came to hate is the overload and how difficult it is to navigate.

It's a little too expensive for a solopreneur such as myself. It's also a little too technical for me.

It's a little too expensive for a solopreneur such as myself. It's also a little too technical for me.

Found the product to be but on a expensive side compared to other similar software available.

I would love to be able to apply multiple feature flags at once as a condition - for example, only apply to audience at 5% if they also have this addi

While Optimizely is a great tool, it lacks some essential management features. I’d love to see better tools for flag management, such as an overview o

The only thing I didn't like was the implementation, it's true that the team was helping us a lot, but it took us a long time to implement it, first o

It's a little too expensive for a solopreneur such as myself. It's also a little too technical for me.

I would love to be able to apply multiple feature flags at once as a condition - for example, only apply to audience at 5% if they also have this addi

I do believe the drill down and analysis capabilities could be better, as well as making it easier to handle complex experiments that includes differe

I do believe the drill down and analysis capabilities could be better, as well as making it easier to handle complex experiments that includes differe