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Everything you need to learn Optimizely X in one place: See our resource pages for Web Experimentation and Personalization.

Optimizely Knowledge Base

Manage experiments in Full Stack

  • Pause, archive, and change experiments
  • Use the Experiments dashboard

In Optimizely X Full Stack, you'll use the Experiments dashboard to pause, archive, and change experiments.

Learn more about getting started with Optimizely X Full Stack.

Pause an experiment

To pause a running experiment, click the Actions icon (). Choose Pause from the dropdown menu.

Archive and un-archive an experiment

Archive an experiment to remove it from the Experiments dashboard. Optimizely keeps your experiment data, so you can un-archive the experiment later, if you wish.

To archive an experiment, click the Actions icon (). Choose Archive from the dropdown menu. When you're prompted to confirm, click Archive Experiment.

Here's how to un-archive an experiment, with step-by-step instructions below:

  1. Click the filter menu and choose Archived from the dropdown.

  2. Click the Actions icon () for the experiment.

  3. Choose Unarchive from the dropdown menu.


Change experiment parameters

You can change the experiment parameters, such as traffic allocation, variations, audiences, and events directly in the Experiments dashboard.

Here's a quick walkthrough. Scroll down for step-by-step instructions.

  1. Click the experiment name to open the Edit Experiment screen.

  2. Change your experiment parameters as desired.

  3. Click Save Experiment.

Changing your experiments will update your project’s datafile within a few seconds. It may take some time before your experiments are updated in production, depending on how often you retrieve datafile updates.

If you want your experiments to update in real-time, use Webhooks to receive datafile updates. 

In Optimizely X Full Stack, be careful when you’re changing experiment parameters, especially the experiment key and variation keys for a running experiment.

Don’t change the experiment key or variation keys unless you’re making the corresponding changes in your code. If you use a key that isn’t referenced in your code, no traffic will be sent to that experiment or variation.