Grid workflow is executed on diverse resource whose interactions are highly complicated and hardly predicted. Often the user and the workflow middleware services want to be informed about the performance behaviour of the workflows, as early as possible, so that they can steer the execution of the workflow to compensate the performance analysis service that supports tracing execution, analyzing performance overhead in workflows. We present how the user and the Grid workflow middleware can utilize the distributed performance analysis service in order to optimize the execution of workflows.