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Great tool for experimentation
April 25, 2024

Great tool for experimentation

Anonymous | TrustRadius Reviewer
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.
  • 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
  • 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

Following scenarios, Optimizely Feature Experimentation is well-suited
Experimentation tests require results to be measured, like pricing tests and UI tests. feature flags and variables can be used as dynamic configs. etc...

Following scenarios, Optimizely Feature Experimentation is not well-suited
Experimentation without code changes, such as CSS changes or text changes on the page, supported by Optimizely Web, is not well suited for Optimizely Feature Experimentation. If this functionality is also supported by Optimizely Feature Experimentation, then it can be really helpful.