Homelessness Prevention Unit (LA Policy Lab) β
Type: External Resource Source: https://capolicylab.org/wp-content/uploads/2024/12/Homelessness-Prevention-Unit-Report.pdfDate Accessed: 2026-01-20
π Executive Summary β
This landmark study from the California Policy Lab provides the definitive statistical proof for HelpmApp's "Data Engine." It proves that using predictive models to identify at-risk individuals and intervening early reduces homelessness significantly.
ποΈ Key Findings β
- The "71% Stat": Targeted prevention programs can reduce homelessness by 71% among high-risk cohorts.
- Methodology: Use multi-agency data (Health, Justice, Benefits) to predict risk. HelpmApp's "Provider Analytics" (Phase 32) is the first step towards building this dataset for London.
- Cost Savings: Prevention is drastically cheaper than emergency shelter.
π Strategic Application β
- Pitch Deck: Slide 3 (Solution/Value). "Predictive intervention reduces homelessness by 71% (Source: CA Policy Lab)." This is our "Killer Stat."
- Product Roadmap: Justifies the "Impact Reporting" and "Data Export" featuresβwe are building the dataset that makes this prediction possible.
- Gov Bid: Use this to lobby the GLA for "Data Integration" funding.