Experiment Collaboration overview

  • Updated

Experiment Collaboration lets teams easily manage their experiment ideation, planning, and hypothesis-creation process.

With Experiment Collaboration, you can:

  • Create a repeatable process that can scale with your experimentation program.
  • Bridge organizational change when team composition changes.
  • Reduce operational costs by codifying procedural excellence.
  • Increase visibility throughout the experimentation lifecycle.
  • Engage stakeholders and generate buy-in throughout the process and results sharing.

Home page

When you log in, the Home page displays your work, your team's work, items that you are watching, and your most recently viewed items.

View a hypothesis

To access the entire workflow of a hypothesis, select a hypothesis from the list of work.hypothesis.png

The Brief lets the team better understand the hypothesis and provides context.

Variations let you upload files, write text, or add publicly accessible URLs of your proposed experiment variations and collect feedback from the team.


The Experiment tab lets you link a Web Experiment or Feature Experimentation experiment with a hypothesis in Experiment Collaboration. You can also manually add the experiment information by adding your experiment's URL. You can also add run dates of your experiment and automatically add those dates to the Timeline.

Linking experiments from Optimizely Feature Experimentation to an Experiment Collaboration hypothesis is currently in beta. Contact your Customer Success Manager for information.


Using the Experimentation Workflow, you can codify the experimentation process so your team can work self-sufficiently, no matter how dispersed your team is. With the required approvals, you can gain confidence that your experiments are well-designed before launch. 

Selecting the board view, you can track the steps to design and build an experiment and ensure that it launches on time.


Share calendars of your planned and running experiments to increase visibility and awareness of ongoing changes.

To get started, see Manage hypotheses.