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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.


We are pleased to announce that beginning on Tuesday, March 25th, we are launching a new feedback experience for our customers!

The new experience should transition over seamlessly, but please be aware that short interruptions to our feedback portal may occur on March 25th between 2:30-4:30pm EDT.


All the best, your Optimizely Product Team

Created by Guest
Created on Dec 27, 2024

Add Filter Options for Production/Development Environment + Archived/Non-archived Reports

As a data analyst/product manager, I require a comprehensive overview of our experimentation programs within the reporting system. Currently, the system lacks clarity in the following areas, hindering my ability to effectively analyse experiment performance:

  • Production Environment Filtering: I need the ability to specifically filter for experiments running in the production environment. This ensures I'm analysing data that reflects the actual user experience and provides valuable insights into real-world impact.

  • Archived Experiment Filtering: A clear distinction between archived and non-archived experiments is crucial. This allows me to:

    • Exclude irrelevant or invalid experiments from my analysis.

    • Compare archived results with current tests to identify trends and long-term performance patterns.

By incorporating these filtering options (production vs. development environment and archived vs. non-archived), the reporting system will provide a more accurate and insightful representation of our experimentation programs.