Employment figures have long acted as important measures of regional economic performance, especially during periods of recovery after crisis. But focusing too narrowly on employment recovery can hide underlying regional processes that could merit intervention, such as slackening competitiveness or an over-allocation of investment in industries experiencing secular decline. We propose a method for revealing such potential processes in observed trajectories of recovery. The method builds on a rate decomposition technique called Multi-Factor Partitioning (MFP), itself a modification of the classic economic geography technique of Shift-Share Analysis. After a presentation of the method, examples from Canadian regions are presented as a means to illustrate its usefulness.