In support of Outcome 4 — youth graduate high school prepared for the next step — Aspire created the Graduation Network.
Aspire seeks to introduce and encourage data-driven decision making to enable better outcomes. This requires the collection, analysis and synthesis of data and experience. It allows us to move away from subjective decision making — what we think we know — to objective decision making — what the data tells us. The Graduation Network is tasked with helping Aspire gather and analyze data from the community as it applies to middle and high school age children and likelihood that they will graduate.
Aspire is using Lean Six Sigma (LSS) methodology to guide us through the steps required to get to data-driven decision making. LSS includes continuous improvement techniques and tools for process development and reduction of duplication or wasted time and resources.
LSS is based on a five-step improvement process commonly referred to as DMAIC:
(D) Define – define the opportunity
(M) Measure – baseline the process
(A) Analyze – identify root causes
(I) Improve – test improvements (Pilot)
(C) Control – maintain the gains