The logic model is a genuinely useful tool, and it is also one of the most quietly misused. On one page it lays out inputs, activities, outputs, and outcomes in a tidy left-to-right chain. For aligning a team and satisfying a funder, that clarity is worth a great deal. The trouble starts when people mistake the map for the territory.
A logic model implies a clean, linear causality: do these activities, get these outputs, produce these outcomes. Real social change rarely behaves so politely. It loops back on itself, depends heavily on context and relationships, and produces effects no box predicted. When a logic model is treated as a contract rather than a hypothesis, it can do real harm; it fixes a model that should be staying adaptive, and it flattens exactly the context and relationship that make the work succeed or fail.
A logic model is a map, not the territory; useful, as long as you remember you are allowed to redraw it.
The fix is not to throw the tool out, but to hold it more loosely. Treat the logic model as your current best hypothesis about how change happens, and pair it with a theory of change that explains the why underneath the boxes. Then revisit it, on purpose, when reality disagrees. For programs that are genuinely new or complex, a rigid logic model is worse than none, because it forces a premature certainty that crowds out the learning the work most needs.
Use it to align, to communicate, and to start the conversation. Just do not let a one-page diagram quietly become the thing you are accountable to, instead of the people the program is for.