The Experiments section helps teams put rapid experimentation at the center of their work and to help managers track, analyze and disseminate the knowledge gained, in order to accelerate their ideas.
Experiments provide the structure necessary to design and run great tests (avoiding common cognitive biases), and are flexible enough to support a variety of applications and starting points.
Experiments are similar to Evidence, with more focus on testing live user behavior, and with a clearly-articulated hypothesis that can be proven or disproven. The team decides the criteria to evaluate success before running the experiment, then they gather data, before finally analyzing it.
Move Through Phases
There are three phases of each Experiment: Plan, Run, and Analyze.
Plan: structure your test and add basic information of what you're trying to learn and how you'll learn it. Learn how to Plan Experiments.
Run: connect or create corresponding evidence to a test and indicate the metrics by which you will determine its success in achieving your expected outcome. Learn how to Run Experiments.
Analyze and Complete: record your results and indicate if they met your goal. Click Complete when you're done; once an Experiment is completed, it cannot be edited; this ensures data integrity. Analyze & Complete Experiments.
For more information, check out our GLIDR Discovery page.