When you are new to experimenting, you might not even know where to start. Opportunities seem endless, and so are the possibilities to fail. Don't worry: the Comparis Experimentation Framework helps you.

It provides you with the guardrails that let you experiment at ease. It literally gives you the frame in which you can move freely.

The Framework includes

<aside> 👉 The Comparis Experimentation Framework shows you how to run your experiments.

</aside>

This Wiki is the written form of the Experimentation Framework and it consists of three parts:

  1. The first part deals with the basics and gives you an orientation where Experimentation sits within the companies' organization.
  2. The second part, the Experimentation Cycle guides you through every step of the Experimentation Process. It describes what you could do and what you should do.
  3. In the third part, the **Experimentation Knowledge Base,** you will find links, tools, shortcuts and templates that you might find useful on the way. Most of this knowledge is stored in the Confluence Space, too.

Experimentation is a meta discipline that helps you succeed in your actual job. It thus is deeply rooted in our existing processes and ways of working. Although the Experimentation Cycle might look like it: it is nothing totally new. Let's have a closer look:

Experimentation & SAFe

You can easily embody the Experimentation Cycle in our agile Planning: Your target outcome naturally derives from your roadmaps, current Epics, or PA-Priorities. SAFe at Comparis allows you two full weeks to dive into discovery, prioritization based upon evidence, and picking the next step of validation before you actually start building. This is the upstream part. Make sure you make good use out of it. But of course, you don't have to wait for the Innovation and Planning Iterations to gather evidence.

SAFe Iterations pictured in the Experimentation Cycle

SAFe Iterations pictured in the Experimentation Cycle