Tool Drop: Before You Measure Anything
Try out the conditions web
In February I wrote two pieces about the limits of linear thinking. “There Is No Arrow” looked at US-China AI competition and named what happens when you try to make policy inside a web of mutual causality, where conditions shape conditions and no single arrow points from here to a stable outcome. “Mutually Assured Causation” looked at Iran, Somalia, and Syria and traced what happens when interventions land inside systems that reorganize around every perturbation, including the perturbation the intervention itself introduces.
I was writing about geopolitics. But I was also writing about something I see constantly in social impact work.
There is always a moment during a theory of change workshop when someone questions whether an outcome causes another outcome or is caused by it, or whether they simply arise together, each conditioning the other. It is a good question. It is also a question that the logic model format cannot hold. Logic models draw arrows. The world is a web. Outputs become inputs. Outcomes shape other outcomes. The system reorganizes continuously, and the chain cannot hold what is actually happening.
That is true at the scale of nations. It is also true at the scale of a housing program in Minneapolis or a health intervention in rural Guatemala. The scale is different. The structure of the problem is the same.
I have been building something that takes that seriously.
The Problem
I want to be clear about something. Theories of change and logic models are useful. I have built them. I have helped organizations build them. They organize thinking, they make programs legible to funders, and they force a kind of discipline about what you think is going to happen and why.
But they are abstractions. They are maps, not the territory. And like all maps, they have limitations. The most important limitation is that they draw arrows where the world has webs. They flatten mutual causality into sequence. They make it look like conditions hold still while programs move through them. Conditions do not hold still.
Most organizations build logic models in a conference room or a grant application, drawing arrows from activities to outcomes without asking what conditions have to be true for those arrows to hold. The arrows assume a world. Nobody checked whether that world exists.
A job training program assumes employers are hiring. A housing program assumes available units. A health intervention assumes people can get to the clinic. These are not inputs. They are not things the program controls. They are conditions, the landscape the program operates within, and when they shift, the logic model breaks without anyone understanding why.
The usual response is to add more indicators. Track more outputs. But the problem was never insufficient measurement. The problem is structural. A chain cannot hold what is actually happening. It is really more of a web than a chain.
What the Conditions Web Does
The Conditions Web is an AI-guided conversational mapping process that helps social impact organizations see the full landscape of conditions their program operates within, before they design strategy or evaluation.
Instead of starting with a logic model, it maps conditions across eight domains of social reality: historical and systemic forces, the current situation, the population served, community and cultural life, structural and political rules, organizational dynamics, market and economic conditions, and ecological and place-based factors.
The mapping happens in two layers. First the organization itself: what has to be true internally for it to do its work. Then the program level: what surrounds the people it serves. The result is a relational web of interconnected conditions rather than a linear chain of causes and effects.
Cross-cutting dimensions like power, time, felt experience (whether people feel like they matter, like they belong, like their dignity is intact), and leverage are woven through every domain rather than treated as separate topics. Subpopulation variation gets surfaced early, because a conditions map that collapses meaningfully different paths into a single story is not a map at all.
How It Works
The conversation happens in plain language. The eight-domain framework is the internal structure, not jargon imposed on the user. The person doing the mapping just talks about their work, their community, their situation. The structure stays in the background where it belongs.
Sessions run five to fifteen minutes per domain, so organizations without dedicated evaluation staff can do the mapping in pieces over multiple sittings. You do not need an evaluator on staff. You do not need to know what a theory of change is. You just need to be willing to describe the world your program operates in honestly.
What It Produces
From the same underlying map, the tool generates what both the organization and its funders need: an interactive visual map of conditions, a narrative summary, and a theory of change and logic model that are grounded in the actual situation rather than built from scratch in a vacuum.
The logic model still has arrows. Funders still need them. But the arrows are grounded in a web of conditions that were actually examined rather than assumed. And when conditions shift, the organization can see why outcomes changed rather than just reporting that they did.
Why Now
The field has no shortage of measurement tools: developmental evaluation, contribution analysis, outcome harvesting, most significant change, and more. Every one of them is better than nothing. But none of them helps if you have not seen the system you are trying to measure.
You cannot evaluate a program’s contribution to systems change if you have not mapped the system. You cannot assess whether conditions shifted if you never documented what conditions existed at the start. You cannot distinguish between a program that failed and a program that operated in conditions where success was not possible.
The measurement comes after. The seeing comes first.
Try It
The Conditions Web is still under construction. Things will be rough. But I would rather put it in people’s hands now and learn from how they use it than polish it in private until it is perfect.
If you work in social impact and want to see what conditions mapping looks like in practice, try it and tell me what works and what does not.
Anthralytic is a strategy and evaluation studio helping mission-driven teams clarify and amplify their impact.
