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Customer Feedback

We love feedback from you on our products and the problems in your daily work that you would like us to solve. Please describe the challenge you're encountering and your desired outcome. Be as detailed as possible.

For technical issues or bugs please head to Support or our Developer Community. You can assign up to 20 votes in total. Thank you for your feedback.

Status explanation: 'Future Consideration' = Continuing to collect further feedback, not planned at this time. 'Investigating' = Prioritized for deeper customer and feasibility investigations ahead of planning development.

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Feature Experimentation

Showing 74 of 1829

Bounce/exit metrics in Optimizely Full Stack

Bounce and exit rate are key metrics for our business, as they often reach statistical significance and are crucial for us as an indication of experiment performance. At present, these metrics are only available in the Optimizely Web product and n...
over 2 years ago in Feature Experimentation / Other 1 Future consideration

Serve previous revisions of datafiles from Optimizely CDN

As a web developer I need to ensure that every point in a request lifecycle uses the same version of an Optimizely datafile to ensure a page is rendered correctly. This includes: edge function logic serverside render clientside hydration If there ...
3 months ago in Feature Experimentation / APIs 0

enable optimizely node sdk to work behind proxy

If sdk is meant to be initialised in air tight environment and you are meant to use proxy for security and audit reasons, then its impossible to do so with createInstance method from neither react nor node SDKs. Datafile wont be fetched, App will ...
over 1 year ago in Feature Experimentation / SDKs & Agent 0 Future consideration

Feature Flag Lifecylcle Analytics

One of my goals as an administrator of feature flags is to understand the lifecycle of our feature flags. When it was created and the various data points for it's rollout. I struggle to maintain the lifespan of our flags without alot of manual work.
about 3 years ago in Feature Experimentation / Feature Flagging Workflows 1 Future consideration

GCP Cloud Functions + Edge SDK

Since we are now on Google Cloud a customer has asked us about the possibility of Edge functions similar to AWS Lambda for GCP
over 1 year ago in Feature Experimentation / SDKs & Agent 0 Future consideration

Supporting Custom Javascript or some inbuilt functions in the Audience Builder

We would like to be able to perform some minimal data manipulation before matching when creating audiences. Either supporting custom javascript in Audience Builder in the Full Stack version, or accommodating common Javascript or optimizely custom ...
over 2 years ago in Feature Experimentation / SDKs & Agent 0 Future consideration

Workflow approval

Clients wants to be able to have an approval workflow before a flag or test is started. They do this because they want to ensure that someone needs to get approval before changing the configuration of a flag to ensure a second pair of eyes before ...
over 3 years ago in Feature Experimentation 0 Future consideration

Add rule type property to decision object

While the decision object allows you to see which rule delivered a feature, it does not specify whether this rule is an A/B Test, Targeted Delivery, etc. Customer naming conventions could theoretically provide this kind of context, but we've recei...
about 2 months ago in Feature Experimentation / APIs / Experiment Authoring / Feature Flagging Workflows / SDKs & Agent 0 Future consideration

Support setting userAttribute through Optimizely agent environment variable.

We have an enhancement request for https://github.com/optimizely/agent?tab=readme-ov-file#configuration-options. We want to be able to add a property or an environment variable so that we can add a key-value pair for the userAttribute mentioned in...
12 months ago in Feature Experimentation 0

Support OpenFeature

As a developer I want to be able to use an Optimizely provider for the CNCF OpenFeature project so that I don't have to learn a vendor-specific SDK to integrate my codebase with Optimizely resulting in faster adoption of Optimizely in my applications
about 1 year ago in Feature Experimentation / SDKs & Agent 0 Future consideration