Stella is a strategy and analysis tool that helps Continuums of Care (CoCs) understand how their system is performing and models what an optimized system would look like that fully addresses homelessness in their area. The Stella Performance (Stella P) provides dynamic visuals of CoCs’ Longitudinal Systems Analysis (LSA) data to show how households move through the homeless system, and to highlight outcome disparities.
HUD released a new Prezi presentation that explores system performance while teaching users how to navigate Stella P to compare and understand inter-related data for making decisions. Using Adult and Child households, the presentation demonstrates how to build a picture of system performance using Stella P while exploring Stella P's functionality. Through the use of performance measure data visualizations, insights, impact scores, and tabular data presentation, users learn how to observe and understand system utilization data by housing program utilization (service pathways), population types, and demographic data. This information is used to identify most effective housing service pathways, data quality limitations, and potential policy and program design changes that can achieve significant system change.