Try Experiment Collaboration Yourself (2-minute guided demo)
Check out the highlights in this guided demo. Experience firsthand how people are launching tests faster and growing a collaborative culture of experimentation.
EXPERIMENT COLLABORATION
What good is the world's fastest experimentation platform if your organization can't keep up?
Make your processes easier with Experiment Collaboration so that anyone feels comfortable getting involved in testing. Standardize workflows, share plans and results to get others engaged, and undergo a paradigm shift in how you test.
Launch tests faster and test more by giving people
the control and governance tools they need to
become confident and self-sufficient.
As you scale, maintain high-quality processes and experiments by spelling out your workflows and giving
everyone a framework to follow.
Running more quality tests and learning fast will grab
people's attention. A culture of experimentation can
grow organically through engagement and interest.
A structured intake process helps capture ideas, manage backlog of new optimization opportunities, and prioritize those that can truly make an impact.
Once a Hypothesis is created, use the single workspace as a home for test briefs, variation designs, communication, and assigning workflow steps & approvals.
Collaborate on design variations, maintain version history, and track approvals all within the Hypothesis object but let designers stay in their design tool of choice.
Orchestrate your entire program from a single view. Group in-flight experiments by sprints or Kanban, however your team chooses to work. Keep leadership in the loop with clean, informative layouts like a calendar or a list.
As I push to democratize experiment ideation, I have to ensure the process is rigorous and critical. Every ideator must complete Optimizely’s certification program so they can review and analyze their own experiments. Now, with a centralized system to manage the entire process, we're slashing our lift in half.
The most useful thing we did was give non-experts ways to run experiments and understand statistical thinking. The social features tied to experimentation — comments, “@” features, threading, linking to experiment results so anyone could see them, etc — were arguably the most valuable in the platform.
Our experimentation process includes 49 people completing 8 phases over roughly 44 days...to launch ONE test. After consolidating tech and workflows, and giving both technical and non-technical people independence via a single governance tool, we cut that cycle by 30 days and retained high-quality output.