Peter Drucker said, “What gets measured, gets managed.” In order to ensure that the essential components of your transformed model are monitored, refined, and sustained, data planning, collection, analysis and use must be at the heart of monitoring the progress of your scaled program. Data is great.  Too little and you’re “data starved.”  Too much and you’re “data glutenous.”  The focus of data in the context of this toolkit is on considerations for how your program plans for, collects, analyzes, and uses data to progress monitor the scaling of the transformed model.  This is by no means inclusive of every factor or data field, though we can assure you that it will enable you to better communicate the growth and transformation of your program. 

In order to measure these 14 components, identifying the percentage of candidates allows progress monitoring around access. Of equal, or perhaps more significance, is monitoring the effectiveness, or quality, of the components themselves. In order to do so, the aligned data collection fields are identified and the 14 high-quality components are aligned to the developmental framework.