Great tool for experimentation
April 25, 2024
Great tool for experimentation
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Optimizely Feature Experimentation
[...] is in the process of migrating Optimizely Full Stack (OFS) to Optimizely Feature Experimentation in the next few months. Optimizely Feature Experimentation's backward capabilities allow OFS to migrate to Optimizely Feature Experimentation safely without a code change.
We have instrumented Optimizely Feature Experimentation on UI, and Backend.
Optimizely Feature Experimentation is used in backend services to automate pricing test capabilities and other features. Optimizely Feature Experimentation is used for many UI experiments, such as enabling features on UI. We plan to address more Optimizely Feature Experimentation's feature variable capability to eliminate experiment variation configs.
We have instrumented Optimizely Feature Experimentation on UI, and Backend.
Optimizely Feature Experimentation is used in backend services to automate pricing test capabilities and other features. Optimizely Feature Experimentation is used for many UI experiments, such as enabling features on UI. We plan to address more Optimizely Feature Experimentation's feature variable capability to eliminate experiment variation configs.
Pros
- Environment based experiment control
- Unified interface for experimentation
- Backward compatible sdk interface with OFS
- Easy migration from OFS experiments to Optimizely Feature Experimentation experiments
- Good and descriptive developer documentation
Cons
- Running Experiments Exclusively with user profile service. If one experiment is already allocated with the user profile, another experiment in the exclusion group should not trigger the experiment.
- Ability to reevaluate audience condition with user profile service, in case audience condition do not match remove override from user profile override. Differentiate between qe override and user profile override.
- Ability to connect multiple IDs to achieve consistent experimentation across devices.
- Any way to achieve optimizely web capability using Optimizely Feature Experimentation.
- Experimentation is key to figuring out the impact of changes made on-site.
- Experimentation is very helpful with pricing tests and other backend tests.
- Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.
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
Comments
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