In this episode, we’re exploring a key part of how Sprockler works, something we call meaning mapping. So let’s start right at the top. What do you mean by “meaning mapping”?
Meaning mapping is what happens when someone shares a story, and then interprets it themselves. That act of self-interpretation is central to how Sprockler works. We use structured questions to capture those interpretations, and when many people do that, we can map patterns in how meaning is made across a whole group.

So people aren’t just telling a story, they’re telling you what it means to them?
Correct. In most research, meaning is assigned by someone outside the story, often an evaluator or analyst. But in Sprockler, the storyteller is the first interpreter. After they tell their story, they answer a few carefully designed questions to help express how they understand what happened.

What kind of questions?
We use tools like bipoles, those are sliders between two ideas, and tripoles, which are triangles with three dimensions. For example, a person might place their story between “individual action” or “collective action” on a bipole. A tripole might ask someone to place their story between three drivers of change like “institutions,” “community members,” and “outside funders.”

And then what happens?
As more people respond, their answers form a visual map and patterns emerge. Maybe stories involving outside funders are often seen as taking individual action. Maybe community-led stories cluster around collective action. You can spot clusters, gaps, or outliers and every dot on that triangle is linked to a real story someone told.

That’s a very different kind of data.
It is. And it respects complexity. The stories aren’t reduced to a theme. They’re interpreted by the people who lived them, and those interpretations become data. It allows us to listen at scale without flattening the experiences.

Thanks. This really opens up a new approach to understanding people’s experiences, and how we learn from them.
It sure does.