Separate output from outcome
An agent can generate a patch that looks plausible. A developer can accept a suggestion. A pull request can be merged. None of those events alone proves that the intended problem was solved well.
Outcome context can include tests, review findings, follow-up changes, defects, user-facing behaviour, and whether the change was maintainable. The right evidence depends on the work.
Use the trajectory to explain differences
Two teams may deliver similar changes with different amounts of AI activity. One may have explored a genuinely unfamiliar area; another may have created rework that appears only after merge.
The trajectory does not manufacture causality. It helps reviewers connect activity to the conditions and evidence that make a difference interpretable.
Choose a modest outcome question
Start with one outcome that matters for a defined class of work: fewer repeated corrections, earlier verification, a better review conversation, or more predictable delivery of a particular task type.
Avoid turning the result into a universal score. A useful measure should guide a change in the system, not encourage people to optimize a proxy.
Frequently asked questions
Is a merged pull request an engineering outcome?
It is one delivery signal, but not a complete outcome. Quality, integration, purpose, and follow-up work still matter.
Can TraceYield prove that AI caused an outcome?
Usually not. It can connect evidence and identify patterns, while causality requires a stronger study design.
TraceYield
Start with one real work trajectory.
Discuss the question you want to investigate with TraceYield and the context required to answer it.
Request a pilot