Overview
What is Optimizely Feature Experimentation?
Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.
If you want to step up your experimentation program.
Ship faster with Optimizely Feature Experimentation
Optimizely Feature Experimentation is great
Quick review of Optimizely.
Optimizely Review
Great for IT to use and administer. Users are happy with the product
Does what it says on the tin, but that tin is a can of worms
Optimizely Feature Experimentation: Advancing Feature Deployment.
Feature experimentation.
Awesomeness
Difficult to navigate documentation, overloaded and overcomplicated for our use cases
An Android Engineer Review of Optimizely Feature Experimentation
Feature flags, A/B testing campaigns, Environment-specific system flags
Optimize conversion rate
Awards
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Reviewer Pros & Cons
Pricing
What is Optimizely Feature Experimentation?
Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.
Entry-level set up fee?
- Setup fee required
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Jewel - Feature Experimentation
Product Details
- About
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Optimizely Feature Experimentation?
Optimizely Feature Experimentation Features
- Supported: Testing & Experimentation
- Supported: Feature Flags
- Supported: Collaboration
Optimizely Feature Experimentation Screenshots
Optimizely Feature Experimentation Video
Optimizely Feature Experimentation Competitors
Optimizely Feature Experimentation Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Supported Countries | All |
Optimizely Feature Experimentation Downloadables
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(27)Attribute Ratings
Reviews
(1-16 of 16)Great tool for experimentation
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 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.
If you want to step up your experimentation program.
- Allowing non-technical teams to be able to make controlled and speedy changes on the site.
- Makes developers feel comfortable about experimentation.
- Onboarding takes time because there is a steep learning curve.
- The shift from the legacy version to the latest version required some changes in mindset.
- The layouts of Optimizely Web and Optimizely Feature Experimentation are quite different, so it takes time to transfer from one to the other.
Ship faster with Optimizely Feature Experimentation
- Integrated roll-out and A/B testing ability
- Ability to personalize roll-outs based on other user traits
- Measure the impact of releases
- Better integration with web experimentation product
- Integrate with Segment and other data sources for easier feature release measurement
- More granular audience building / available traits
Optimizely Feature Experimentation is great
- Feature flagging
- Segmenting
- Quickly updating
- Providing metrics
- Initial setup
- Onboarding
- Experimentation
Quick review of Optimizely.
- A/B testing.
- Percentage of traffic.
- Target audience.
- SDK of API calls.
- Provide command line interface.
- Simplify the user interface.
Optimizely Review
- a/b testing
- multivariate testing
- Feature Flagging
- Learning Curve
- Limited Customization in Reporting
Great for IT to use and administer. Users are happy with the product
- Account Provisioning
- Project Creation
- Inviting Users
- Updating user access
- Finding the admin portal
- Educating users
Does what it says on the tin, but that tin is a can of worms
- Fine grained controls of target audiences
- Offers an API with support for multiple languages
- Extremely confusing, complicated, and unintuitive webapp. It's hard to figure out if a feature flag is active and what it will evaluate to for a given user, organization, or audience. The app has many different toggles for enabling, disabling, and targeting a flag, and they don't follow a consistent design.
- Slow and buggy login process
- Difficult to use human-readable aliases for user IDs and organization IDs when defining audiences. We maintain spreadsheets to understand our Optimizely configurations
- Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
- Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
- Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.
- Anyone new to A/B testing may struggle with the learning curve.
- To give product teams more control over feature releases, we should improve how we target and segment audiences.
- We've had some problems with the user interface, especially when setting up experiments.
Feature experimentation.
- AB testing.
- Revenue comparison.
- Conversion rate comparison.
- Bucketing mismatches.
Awesomeness
- Traffic allocation.
- Distribution
- Web editor.
- Visualization of the flags.
- Information about testing.
- Testing new layouts for conversion
- Testing new features for user interaction
- Tracking user engagement
- Better documentation. It's very fragmented and hard to navigate.
- More opinionated API. Multiple ways to get the same functionality, but with various degrees of documentation. For example, do you activate an experiment or do you use the user decision?
- More examples for common patterns would be nice. For example, generation and storage of a user ID in a cookie.
- A/B Testing of features
- Easy to add and develop on an app or web
- Friendly customer support
- The "flags" new feature needs more explanation
- Ability to add more than 10 whitelisted users, this was available before, now "flags" disabled it
- More detailed documentation
- system flags
- dynamic flags for each environment
- dynamic flags for user
- currently it doesn't seem to support any CRM or ERP system integration, it has a room for it
- Optimizely has its own permission mechanism. If it supports our internal operation flow, it would be good
- Our production environment has a number of domains such as EU, CA and USA. If Optimizely features support some domain logic for environment, it would be nice
Optimize conversion rate
- Redirection
- Feature testing
- Splitting traffic
- performance
- Allow for website changes otherwise dependent on code
- Analytics of those change
- Customer support
- Ease of use
- Initially training of program
- Ability to customize certain aspects of the website were limited
- Expensive for smaller organizations