draft plan
Homelessness Prevention in Seattle: Draft Plan
Introduction
● Current situation of homelessness in Seattle/King County
● Establishment of King County Regional Homelessness Authority
Ecosystem Mapping
● Visualization of stakeholders and partners in the homelessness ecosystem
Problems
● Identified Problems
● Description of the two main problems: the lack of exit data and real-time data of individuals
experiencing homelessness
Solution
● Explanation of the solution
○ Solution 1: Coined with the Peer Navigation System that is planned to be implemented,
the Authority should collect more accurate exit data and closely examine how, why, and
when people fall back into homelessness
○ Solution 2: The Authority should collect real-time data of every person experiencing
homelessness and qualitative data of individual needs
● Visualizations
○ Visualization of the current flow of tasks
○ Visualization of the proposed solution
Implementation
● Solution 1 - Data on status in between homeless shelter visits
○ KCRHA would need to work with homeless shelters to collect information when people
are checking into homeless shelters
■ This information would include, if applicable:
● The last time they were at a shelter
● What housing status they went into when they left the shelter
● What housing status they primarily were in between shelter visits
■ This information would need to be collected in a privacy-first model, with only the
necessary information collected
● Only looking at categories of homelessness/being unsheltered instead of
specifics
○ Ex. For housing status between shelter visits, only categorical
data like ‘permanent housing’ or ‘unsheltered on the street’ not
locations of where they were
● Solution 2 - By name list: Real-time data on the homeless population
○ This would give a big picture as well as detailed information on the homeless population
that includes both quantitative and qualitative data
○ KCRHA would work with case managers and homeless shelters to get a list of names
and profiles of the current homeless population
■ The profiles would include qualitative data of what type of individual needs they
have
● Ex. substance abuse help, housing that allows them to have their pets
Steps
● Organizational
○ Solution 1
■ Expand the scope of the Peer Navigation System to oversee post-shelter
activities
■ Train the Peer Navigators and their advisors to collect data
■ Designate a data analyst(s) to specifically focus on post-shelter data
■ Integrate collected data into the existing data analytics system to reflect the
insights into future planning
○ Solution 2
■ When transferring data from the Homelessness Management Information System
(HMIS), there would be a window to improve the data infrastructure under the
governance of the Authority
■ During the transition, the data system must be updated to include ‘by name list’
■ Train shelters, providers, and case managers to collect real-time data cohesively
and report to the Authority daily
■ Ensure that by name list is protected at the highest security level to protect their
privacy
■ Implement policies that no law enforcement can access the information in by
name list
● Technical
○ Solution 1
■ Since data is currently being collected and analyzed in a similar way to this
solution right now, there isn’t any need to create any additional technology
infrastructure
○ Solution 2
■ Requires a new shared secure database that case managers, shelter workers,
and KCRHA can access and add to
Looking Ahead
● With the information gathered about housing status between shelter visits, KCRHA can better see
what keeps people in a cycle of homelessness and also see if there are interventions or types of
housing after shelters that are more effective than others
● With the real-time data of those currently experiencing homelessness, KCRHA can better prepare
resources and understand the kind of support the current community needs
References
● Literature and articles we reviewed
● 5 interviews we conducted with stakeholders