Measuring for Learning
Measuring systems change raises the fundamental questions of systems work: namely, who, what, and when are we measuring, and why? Measurement should be embedded in systems work as a practice, not just to prove successful outcomes but as part of the overall learning process of organizations and broader collectives. This kind of measurement puts primary actors in charge of their own data, revealing a deeper understanding of what is valued by those who are immersed in the context of a social issue. To measure systems work more effectively, organizations and their supporting actors can support self-evaluation, surface invisible value, shorten feedback loops, and measure for meaning. When measuring for learning, organizations are able to ask different questions, recognizing that the primary aim is to determine “what is happening” rather than “what worked.” Organizations and primary actors are also able to access “deep data” that captures the richness of individual experiences while visualizing the bigger picture as it emerges.