THE CONUNDRUM
We think about Curious all the time. Curious is an instinct. We clearly collect Curious people.
Driving the new decision tools and indices are individual and team curiosity. On top of proclivity (e.g. I care about the poor), our products are driven by our curiosity in this brand new white space of behavioral data and trust development we are creating in. And partnerships are our examinations into these questions. Which we call Purpose. Over a year worth of energy and focus on dis-invested communities for example, wasn’t a coincidence, and it obviously wasn’t a paid engagement. What we care about is also what we want to learn.
We have amazing tools now, in the “lab” in Connecticut, we can follow an idea and see the behavioral data. We can remove the noise, compare it to x amount of studies, get historical and diagnosis a default and or a bridge, test evaluation protocols, and retest them, always looking for patterns - generalizeable insights. Test them. We have practice areas for this reason, to capture how we develop products, how we learn and where we give it away so we can learn more to. Then we can commercialize products or services once they are developed into repeatable and tested models or methodologies.
All that said, curiosity about how different people (communities) accept or reject different offers is what fascinated us originally. We assume so much as decision makers and communicators. One of the biases we definitely all have - which we help partners recognize - is that we think we know what will work. I mean you do know. But that knowledge is based on your experiences - institutional default channels. That’s not what we do here. We may know how to program design or project design or project manage, but we only know the system we created. What the community will trust isn’t a variable in anyone’s algorithm. Yet.
This piece takes us through the central operating curiosity around here.
Conundrum
to the same situation?
This is the Conundrum. This is the question every institution is asking.
What Every Institution Already Knows
Two neighbors. Same block. Same mailer. Same subsidy. Same program team. One installs the rain barrel and maintains it for three years. The other doesn't open the envelope.
Two precincts. Same candidate. Same message. Same ground game. One moves twelve points. The other doesn't move at all.
Two watershed corridors. Same outreach. Same meeting. Same grant cycle. One community shows up to everything and maintains nothing. The other never responds to a single flyer — and the infrastructure installed through a neighbor referral is still there five years later.
The demographic explanation doesn't hold. The income explanation doesn't hold. The geographic explanation doesn't hold. The outreach intensity explanation doesn't hold. And every institution that deploys resources into communities has noticed — and has no satisfying answer for why.
The Answer
The real variable is behavioral orientation — the direction in which a community has learned to extend trust. It is not demographic. It is not geographic. It is not income-correlated.
It is behavioral, it is stable, it is measurable, and it predicts how a community will respond to any external program, investment, or intervention before a single dollar is deployed.
CI reads communities at three levels before any behavioral question is asked.
What the community is carrying: the civic, economic, and institutional conditions that shape how people receive information and act on it.
Whether the community's behavioral groups are moving in the same direction or pulling in different ones.
Whether there is enough shared civic fabric to sustain collective action — a program, an investment, a campaign — across a full cycle.
The Conundrum Lives Everywhere
The question is universal. Every institution that deploys resources into communities is living through this conundrum — in a different market, in a different language, with a different set of unexplained outcomes. The answer is always the same.
Everything in this analysis is derived from aggregate behavioral signals. Zero personally identifiable information is collected, stored, or used at any stage. No individual is named, tracked, or profiled.
The unit of analysis is always the community — never the person.
In theory, we do not own the community data — nor do our partners. The community does. We believe this is the only ethical way to do this kind of work.
It is also, as it turns out, the more accurate way. Individual data is noisy. Community behavioral architecture is stable, measurable, and predictive.