Workflow observability starts with a basic separation: a workflow run and a worker job are not the same thing. A worker job can finish successfully while the workflow is waiting for approval. A worker job can fail while the workflow still has enough persisted state to retry or cancel cleanly.
The product should not infer workflow completion from worker completion alone. Workflow state has to be persisted at the run level and at the step level.
At the run level, the system needs clear lifecycle states such as created, queued, running, waiting for approval, completed, failed, and canceled. These states tell operators what happened to the execution instance as a whole.
At the step level, the system needs more granular state: not started, queued, running, completed, waiting for approval, failed, canceled, or rejected. These states explain where the workflow is, what succeeded, what paused, and where intervention is needed.
A step run should also capture attempts, duration, output, logs, and errors. Without that detail, operators can see only that a workflow failed, not which step failed, what was attempted, or whether a retry is safe.
The UI should reflect this model directly. A workflow detail view should show metadata, current run state, historical runs, step-level state, duration, selected-step logs, approval state, and relevant actions such as retry, cancel, approve, reject, or redo.
A useful visual pattern is a run-history matrix: steps vertically, runs horizontally, and status dots or duration bars at the intersections. Selecting a cell can reveal logs, output, attempts, and errors for that step run.
This visual model helps different users. Builders can debug workflow logic. Operators can understand where work is paused. Business reviewers can see what they are approving. Support teams can investigate what happened without reading backend logs first.
Retries and cancellations also become more understandable when represented in the same model. A failed run remains visible. A retry-linked run shows the next attempt. A canceled run shows which steps completed and which were canceled.
The system design principle is that every meaningful transition should leave a record. Pause, approval, rejection, redo, retry, failure, cancellation, completion, and continuation should all be inspectable after the fact.
This is what turns workflow automation from a black box into an operating system component. The team can see not only whether a workflow ran, but how it ran, where it paused, why it failed, and what happened next.