Coordination debt compounds like technical debt
Every engineering org understands technical debt: the shortcuts you take today that charge interest tomorrow. Far fewer track its sibling — coordination debt, the interest you pay when work flows across teams faster than the communication that's supposed to keep them aligned.
It's invisible on every dashboard you already have. Your Jira board doesn't talk to another team's GitHub repo. Standups aren't cross-functional. So the gap between what's planned and what's actually shipping accrues quietly — until it surfaces as a missed quarter.
How it compounds
Like technical debt, coordination debt isn't linear. A single unowned handoff is cheap. Ten of them across five teams interact: a delay in one creates a phantom dependency in another, which forces a re-plan, which creates two more handoffs. The interest rate rises with the number of teams, not the amount of work.
A framework for measuring it
You can't pay down what you can't see. We track coordination debt along three axes:
- Handoff latency — time between when one team finishes and the dependent team picks it up.
- Drift — the divergence between reported status and the underlying signals (commits, tickets, reviews).
- Blast radius — how many programs a single late dependency touches.
This is exactly what an execution intelligence layer is for: cross-referencing signals across every tool to surface coordination debt before it's charged back to you as delay.
Paying it down
The payoff isn't more meetings — it's making the debt legible so the right handoff gets attention before it compounds. Detect drift in real time, attribute it to a dependency, and close the loop while it's still cheap.