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In an era of "DEI fatigue" and increasing fiscal scrutiny, the old way of measuring social impact is failing. For too long, government agencies and nonprofits have relied on outputs—counting how many people were served—without proving if those lives actually improved.
In this expanded second edition, social impact measurement expert Quisha Brown provides the definitive technical manual for the Progressive Outcomes Scale Logic Model (POSLM). This standardized, stage-based framework moves beyond the "output trap" to deliver a rigorous methodology for tracking progressive improvement in well-being.
Whether you are a government administrator, a social impact consultant, evaluator, or a nonprofit leader, this book is your roadmap to the future of social equity.
The mandate for 2026 is clear: If it isn’t measurable, it isn’t manageable. It’s time to use a logic model that proves your theory of change is working.
Quisha Brown is a visionary social impact expert and the founder of Humanistic Care, LLC. With years of experience working with and supporting marginalized communities through educational institutions and the Department of Health & Human Services, she has dedicated her career to transforming how government agencies and nonprofits measure success. As the architect of the Progressive Outcomes Scale Logic Model (POSLM), Quisha bridges the gap between data-driven accountability and systemic equity, helping organizations move beyond "counting services" to truly transforming lives. For keynote speaking, technical assistance, or contracting inquiries, please email us.

The Progressive Outcomes Scale Logic Model (POSLM) methodology, developed by Quisha Brown, was designed to address disparities—an issue magnified by the COVID-19 pandemic—by embedding an equity focus into program evaluation. Recognizing the limitations of traditional logic models in capturing the long-term social impact of equity-driven initiatives, the POSLM provides a structured approach to assessing progressive improvements in racial and economic disparities. This methodology is particularly well-suited for value-based social and human service programs, which prioritize holistic, person-centered outcomes over purely quantitative metrics or fee-for-service models.
Unlike traditional evaluation frameworks that rely heavily on standardized success measures, the POSLM enables organizations to track meaningful progress through staged outcome measurement. Rather than focusing solely on final outputs, this approach defines short-term, intermediate, and long-term outcomes as “Stage 1,” “Stage 2,” and “Stage 3”, respectively. These stages reflect the real-life progression of individuals and communities in overcoming racial and economic barriers. Organizations assess their impact by tracking the percentage of participants who achieve key performance indicators (KPIs) at each stage, providing a nuanced view of transformation over time. Importantly, these KPIs are not predefined by funders or institutions but are identified through community needs assessments and focus groups, ensuring that evaluation remains responsive to lived experiences and systemic inequities.
To maintain clarity and focus, KPIs are categorized rather than displayed individually within the logic model, preventing unnecessary complexity while still allowing for comprehensive tracking. A detailed appendix provides the full range of KPIs, which might include factors such as literacy levels, financial stability, and employment access—critical indicators of racial equity progress.
By structuring evaluation around progressive improvements rather than rigid, quantitative benchmarks, the POSLM methodology better aligns with value-based service models that seek to create sustainable, systemic change. This approach not only clarifies the causal pathways leading to desired outcomes but also strengthens an organization's ability to articulate an “if, then” theory of change—demonstrating how incremental progress in racial equity leads to long-term social and economic transformation.
The POSLM is a culturally responsive logic model, uplifting community voice in the development process of your logic model and nonprofit program evaluation design. It is designed for nonprofits and governments looking to measure social impact and frame their work in marginalized communities from a point of justice and equity; thereby moving away from a “by-the-numbers” approach to sharing outcomes; and instead build out a narrative of impact to help demonstrate how people are becoming better off. The ability to do this starts in the way organizations frame and evaluate programs.
Federal Programs are uniquely positioned to lead the nation in applying artificial intelligence (AI) responsibly to social programs. Current government evaluation models often measure outputs (e.g., number of services delivered) instead of outcomes (e.g., improvements in well-being). The POSLM focuses on both. Watch the video to learn more.


















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