Better Coordination: Qualitative Analysis of Eviction Prevention

According to Improving Eviction Prevention Through Participatory Research: Findings from a Study in Los Angeles, participatory qualitative research can help human service organizations identify fragmented services, duplicate provision, and weak coordination across an eviction prevention system.

The Los Angeles study combined Community Advisory Board workshops with a review of program materials, creating a practical model that researchers can adapt to other regions while keeping community and practitioner knowledge central.

• On November 2, 2026, the RAND-listed study examined eviction prevention organizations and service delivery across Los Angeles County.
• The 2026 publication is 76 pages and uses cardstorming, systems mapping, and policy visioning workshops as part of a participatory mixed methods design.
• The study authors identified fragmentation, duplicative services, and limited coordination among providers and funders as barriers to accessibility and effectiveness.
• A review of program materials cataloged organizational characteristics, eligibility criteria, and administrative processes.
• The study proposes a transferable approach for improving interorganizational coordination, equity, and responsiveness in eviction prevention.

The 2026 RAND-listed study used participatory mixed methods to examine how human service organizations structure and coordinate eviction prevention services across Los Angeles County.

A Community Advisory Board made up of eviction prevention professionals participated in cardstorming, systems mapping, and policy visioning workshops, according to the study authors Alex Sizemore, Max Griswold, and Sarah B. Hunter.

The researchers also reviewed program materials to document organizational characteristics, eligibility criteria, and administrative processes, according to the study. Combining practitioner-led workshops with document review gave the research team both system-level perspectives and operational detail.

The study authors describe the central problem directly: "Human service organizations are critical to preventing eviction, yet limited evidence exists on how these systems are structured and coordinated."

The study is not a diagnostic assessment of individual households. The findings are research-focused and should support service-system improvement, not replace legal, housing, or clinical advice.

AI-enabled qualitative research can help policy and human service teams organize large collections of workshop notes, interviews, program documents, and open-ended responses without removing human interpretation from the process.

The Los Angeles study's systems perspective is especially compatible with thematic analysis and cross-segment analysis. Researchers can code recurring themes such as eligibility barriers, duplication, referral pathways, funding coordination, and service gaps, then compare how those themes appear across providers or program types.

AI does not establish whether a service is effective by itself. Researchers must validate generated themes against source passages, involve community and practitioner stakeholders, and document coding decisions before using findings in policy or funding decisions.

The study authors state that collaborative system mapping can help organizations "maximize equity and responsiveness in eviction prevention efforts." That conclusion supports a workflow in which AI accelerates synthesis while practitioners retain authority over interpretation and priorities.

The 2026 Los Angeles study shows why qualitative analysis of eviction prevention must examine relationships among providers, funders, eligibility rules, and administrative processes rather than isolated programs alone.

Participatory workshops and document review can expose fragmentation and duplication, while AI-enabled analysis can help research teams organize evidence, compare stakeholder groups, and trace themes back to source material.

Teams studying housing access and human service coordination can use Evidano to turn interviews, workshop notes, and program documents into a reviewable evidence base. Try Evidano for free and explore a faster way to analyze qualitative research.