Our guiding question for learning through experimentation is: How might we best support and challenge our networks to strategize and work together more powerfully and effectively for greater impact?
This is a huge question. To address it we break it into smaller more manageable how might we questions, develop a specific hypothesis, outline metrics for success, test our hypothesis and reflect on our learning. Through this process, we’re able to determine collective meaning, uncover assumptions, make informed decisions, and pivot to new and different iterations. This dashboard provides an overview of our current and past experiments to explore the question above. Click on the tiles to learn more about each experiment’s design, how we’re measuring success, and what we’re learning from each iteration. To see inactive experiments, click on the “Show Inactive” button at the bottom of the page.
For more on our approach, read about our Learning Through Experimentation framework.