Optimizely Feature Experimentation is great
February 27, 2024
Optimizely Feature Experimentation is great
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Optimizely Feature Experimentation
We use Optimizely Feature Experimentation for feature flagging services and ultimately to hide or show upcoming feature implementations based on the values these flags return. We also built out audiences and experiments to finely tune how we want to serve these features. We then look at the results and make business decisions on these.
- Feature flagging
- Segmenting
- Quickly updating
- Providing metrics
- Initial setup
- Onboarding
- Experimentation
- Delivering quickly
- Confidence
- Scaling
Feature experimentation is much more robust and allows more granular control over the decisions you want to make. While Optimizely Feature Experimentation is nice and can be delivered via Optimizely Feature Experimentation's UI, its still not ideal because its brittle and can cause underlying performance issues in the code.
Do you think Optimizely Feature Experimentation delivers good value for the price?
Yes
Are you happy with Optimizely Feature Experimentation's feature set?
Yes
Did Optimizely Feature Experimentation live up to sales and marketing promises?
Yes
Did implementation of Optimizely Feature Experimentation go as expected?
Yes
Would you buy Optimizely Feature Experimentation again?
Yes