Cognitive Edge’s proprietary software, called SenseMaker, then turns this raw information into data that can be visually represented and analyzed to reveal patterns. With large volumes of data, the result “is like a 3-D landscape,” Snowden says. “You are able to see patterns, attitudes, and belief systems,” as stories form clusters around particular topics. The data can be filtered according to the storyteller’s gender, age, or other variables.
Read more at Stanford Social Innovation Review
Story Tools for Community Organisations at Global Giving
This is a brief overview of the story-based method GlobalGiving piloted for monitoring a large network of community-based organizations...
- We gathered a large body of community stories that revealed what people in various communities believed they needed, what services they were getting, and what they would like to see happen in the future.
- We analyzed these narratives for patterns using SenseMaker®. The contextual questions associated with each story provide a perspective with both depth and breadth: Broad enough to inform a local organization’s strategic thinking about the root causes of complex problems Detailed enough to trigger specific action by local organizations
- We shared stories back with local organizations, thanked scribes and storytellers via SMS, and worked 1-on-1 to support learning from feedback. This part is still a work in progress.
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