The Macro Lens

Tag: systems-change

  • Building a Theory of Change: Why Your Logic Model Is Telling the Wrong Story

    An iceberg visual illustrating a theory of change, contrasting what a logic model shows on the surface with deeper system drivers such as policy constraints, power dynamics, lived experience, and harm pathways.

    A Diagram of Activity Is Not a Theory of Change

    Most social justice organizations do not have a theory of change. They have a diagram of activity.

    Many have a logic model buried somewhere in a grant application. Some have updated it once. A few have actually used it.

    The problem is not that logic models are useless. The problem is that most logic models in social justice settings were designed to satisfy a funder rather than to illuminate how change actually happens. They describe what a program does. They rarely explain why any of it matters, what assumptions are holding the whole thing together, or what the organization would do if the conditions changed.

    That gap matters most in the kinds of work that cannot be reduced to a contained intervention.

    Consider a community coalition working to reduce housing instability among youth aging out of foster care. A logic model for that initiative might look straightforward: staff time, funding, and community partnerships support housing navigation services and case management, which lead to successful placements, which lead to increased housing stability over time.

    There is nothing obviously wrong with that description. But it does something subtle and consequential. It centers the program as the primary driver of change and treats everything else, the housing market, landlord behavior, policy constraints, the economic realities of young people exiting care with few resources, as background conditions rather than as active forces shaping whether the logic holds at all.

    The model is not wrong. It is partial. And in complex systems, partial explanations can be more misleading than no explanation at all.

    It is also worth asking who benefits when the explanation stays partial. Organizations that fund simplified models of change are often the same ones that fund the constraints shaping whether that change is possible. A theory of change that names those constraints makes certain conversations harder to avoid.

    A theory of change begins where that partial explanation breaks down. It asks a different set of questions, ones that most logic models are not designed to hold. What has to be true in the system for this outcome to be possible? Who has the power to make those conditions hold or fail? What are we assuming about how change happens that we have never tested? And what happens if those assumptions are wrong?

    This guide walks through how to build that kind of explanation, not by abandoning the logic model, but by treating it as a starting point and then deliberately expanding it until it can carry the weight of the work it is supposed to represent.

    The housing coalition appears in each step, so you can see not just what the process requires in the abstract but what it actually does to a model when you take it seriously.

    Why a Logic Model Is Not Enough

    The appeal of the logic model is easy to understand. It imposes order on complexity. It translates messy, relational, politically contested work into a sequence that can be named, diagrammed, and evaluated. For organizations accountable to funders, boards, and community stakeholders, that translation is genuinely useful.

    A well-constructed logic model builds a common understanding of program design, identifies where the causal logic is weak or missing, and points to a balanced set of key measurement areas. It’s a road map that highlights how a program is expected to work and what activities must precede others. For programs with relatively contained, predictable causal chains, that map is sufficient.

    Most social justice work does not operate in contained systems.

    The difference becomes clearer when you think about the range of problems organizations try to solve. Following a recipe is straightforward: replicate the steps and get the same result. Launching a rocket is complicated but ultimately predictable if you control the variables. Raising a child is neither. The outcomes are emergent. Context shapes everything. The same inputs produce different results across different children, families, and conditions. No formula covers it.

    Social justice initiatives are closer to the third category. They involve multiple actors pursuing competing goals, operate across contested political environments, depend on relationships that take years to build, and aim for outcomes, such as shifts in institutional culture or changes in public narrative, that cannot be fully specified in advance. In these conditions, simple logic models risk overstating the causal contribution of any one program while rendering invisible the conditions and feedback loops that actually drive change.

    Return to the housing coalition. A logic model for that initiative shows placements producing stability. It does not show what happens when a landlord declines to renew a lease after the initial placement period. It does not show how eligibility criteria for subsidized housing exclude some of the youth most in need. It does not show the ways case management, when structured around compliance and documentation rather than trust, can drive youth away from the very services designed to support them.

    Those outcomes are not unpredictable. They are happening. The model just does not show them.

    A theory of change does not solve every one of those problems. But it forces a reckoning with them. It requires the organization to name the system it is operating in, surface the assumptions that hold the causal logic together, account for power dynamics shaping who benefits and who does not, and build in the capacity to revise its understanding when conditions change.

    Step One: Build the Foundational Logic Model

    Before complicating things, build a solid structural foundation. The logic model is that foundation. Even if your theory of change ultimately looks quite different, the model gives you and your stakeholders a shared visual language for examining what you think you are doing and why.

    Map five core categories: four that follow a left-to-right causal chain, and one that shapes all of them from below.

    Resources and Inputs are everything the initiative requires in order to function: staff time, funding, relationships, community trust, data, organizational capacity, and the lived expertise of people most affected by the problem. Be honest here. A model that lists “strong community partnerships” as a resource when those partnerships are still being built is telling a false story before the work has even started. For the housing coalition, this includes funding from the state agency, two case managers, relationships with six landlords willing to consider referred tenants, and the knowledge base of a youth advisory panel that includes former foster youth.

    Activities are what the initiative actually does, both the visible program work, such as housing navigation sessions, landlord recruitment, and case management, and the less visible relational infrastructure that makes the visible work possible. Think carefully here about which activities are genuinely critical to goal attainment and which are redundant or have implausible connections to desired outcomes.

    Outputs are the direct, countable products of those activities: the number of youth navigated, the placements facilitated, the landlords who agreed to participate, the sessions delivered. Outputs tell you whether your activities happened. They do not tell you whether they mattered.

    Outcomes distinguish between short-term changes, those most directly associated with your outputs; intermediate changes, those that result from applying short-term gains over time; and longer-term outcomes, the broader shifts that follow from sustained intermediate progress. For the housing coalition, short-term outcomes include youth securing housing placements. Intermediate outcomes include sustained tenancy past the three-month mark. Long-term outcomes include housing stability as a foundation for employment, education, and reduced involvement with systems.

    External Influences belong in the model explicitly, not in a footnote. These are the contextual factors outside the program’s control that will determine whether the logic holds: the local rental market, zoning and subsidy policy, economic conditions shaping youth employment, and the political environment governing foster care transition support. Naming these prevents the model from implicitly overpromising what any single initiative can produce.

    theory of change comparison showing a basic logic model with resources, activities, outputs, and outcomes in a linear sequence

    Once those categories are populated, read the model as a series of conditional statements. If these resources are available, and if these activities occur, then these outputs will result. If those outputs reach these participants under these conditions, then these short-term changes will follow. The Kellogg Foundation’s logic model development guide calls this the “if, then” structure of the logic model, and it is the right frame, provided those conditional statements are treated as hypotheses rather than guarantees.

    Where the chain feels thin, where the “then” does not convincingly follow from the “if,” you have found the edge of what the logic model can explain. That edge is where the theory of change begins.

    Step Two: Build the Theory of Change That Sits Behind the Model

    A theory of change does not replace the logic model. It is the explanatory framework that makes the logic model honest.

    A logic model shows what a program does. A theory of change starts from the long-term change you want to see in the world and works backward through the preconditions and assumptions that would have to hold for that change to be achievable.

    Start with the long-term outcome.

    For the housing coalition, the anchor is not placements. It is sustained housing stability over time. Stable housing, not temporary placement, is what shifts life trajectories for youth aging out of care. That distinction matters. It changes what has to be true for the initiative to succeed.

    Working backward from sustained stability, you quickly encounter dependencies the logic model does not show. Stability requires affordability sustained past the initial placement period. It requires income, which depends on employment access, transportation, and whether employers will hire young people with foster care histories. It requires landlord relationships that hold when a tenant misses a payment or needs support rather than eviction. It requires that youth trust the system enough to engage with case management rather than disappearing from services when things become difficult.

    None of those conditions are produced by housing navigation alone. All of them are causal strands in the theory of change. Rogers (2008) calls these “simultaneous causal strands,” parallel pathways that must all be in place for the intervention to produce the intended result. She argues that for complex community initiatives, a single causal chain is almost always an oversimplification.

    This is also where assumptions surface. The coalition may be assuming that landlords who participate in the program will remain engaged over time. It may be assuming that youth who secure initial placements will maintain contact with case managers. It may be assuming that the state agency will sustain funding past the first year. Those assumptions are often reasonable. They are also often untested, and they operate as invisible premises in the logic model.

    Writing them explicitly changes their status. They are no longer given. They are claims about how the world works that can be examined and revised.

    For advocacy and organizing work, the backward-mapping process surfaces a different set of dependencies. Klugman (2011) argues that in social justice advocacy, policy change alone is an insufficient long-term outcome because implementation can fail and gains can be reversed unless organizational capacity, movement infrastructure, and normative shifts are sustained alongside the policy victories. The Advocacy and Policy Change Composite Logic Model developed by Coffman et al. (2007) operationalizes this by identifying the interim outcomes that advocacy strategies must produce before policy change becomes possible: coalition power, narrative reframing, the emergence of new champions in decision-making roles, shifts in public will. A theory of change for an advocacy initiative needs to include those interim outcomes explicitly, because without them, the pathway from activities to policy change has no visible mechanism.

    At this stage, the model stops being a diagram of activities. It becomes an argument about change, one that can be examined, tested, and revised.

    That argument does not operate only through programs and policies. It is also shaped by how problems are understood in the first place. We have explored this in depth in Narrative as Infrastructure, where storytelling is treated not as communication, but as a structural force that shapes what solutions feel possible and legitimate. A theory of change that ignores narrative is leaving one of its core causal mechanisms unexamined.

    Step Three: Model the Negative Logic

    This is the step most organizations skip. It is also the one that matters most in social justice settings.

    Onyura et al. (2021) introduce the concept of dark logic modeling, drawn from public health evaluation. For every pathway you have mapped toward a positive outcome, a parallel pathway exists along which the intervention could fail to produce change or actively produce harm. Dark logic modeling asks you to map that pathway before the program runs, so that mitigation can be built into the design rather than discovered in the aftermath.

    The examples from the literature are instructive. Cultural competency trainings intended to reduce bias have been shown in some contexts to surface and even legitimize implicit views rather than shifting them, producing worse outcomes than no training at all. Data systems designed to improve service coordination have exposed undocumented participants to risk when privacy protections were inadequate. Leadership development programs have tokenized participants when the structural supports for genuine decision-making power were absent.

    In social justice work, this problem is acute because many initiatives operate with communities that have long histories of being harmed by well-intentioned programs. This means the adverse outcomes are often not unpredictable at all. They are predicted, by community members, in advance. The question is whether those predictions are treated as credible data that should shape program design.

    For the housing coalition, the dark logic pathways are visible if you look directly at them. A landlord recruitment strategy that prioritizes ease of engagement may result in a pool of participating landlords who exclude the youth at greatest risk. Data collected to improve coordination may, without explicit protections, create records that follow youth into encounters with law enforcement or future housing applications. Case management structures built around compliance, attendance requirements, documentation, and regular check-ins, may drive away the youth most in need of flexible support, the ones for whom rigid structure represents the conditions that have already failed them.

    These are not hypothetical. They are recurring patterns in programs serving youth exiting foster care.

    Mapping them changes who is centered in the analysis. Instead of asking only whether the program works, the dark logic model asks for whom it works, under what conditions, and at whose expense. Programs do not simply fail. They fail in patterned ways, and the patterns are usually visible before the program runs if you know where to look. That question is not an add-on. It is part of what makes the theory of change honest.

    Step Four: Stress-Test the Causal Logic

    The theory of change now contains a set of causal claims. Some are well-supported by evidence. Some are grounded in practice wisdom. Some are assumptions that have never been directly tested. Treating them as equally certain is one of the fastest ways to undermine the usefulness of the model.

    Onyura et al. (2021) recommend two forms of analysis. A direct logic analysis asks whether the program design aligns with available evidence. For the housing coalition, that means examining what the research shows about the relationship between short-term navigation and long-term stability, and whether the case management model being used reflects what has actually produced durable outcomes in comparable populations.

    A reverse logic analysis asks whether other pathways to the same outcome exist that this initiative has not considered. If the evidence suggests that housing vouchers without attached services produce better long-term stability than case management models, the coalition does not have to abandon its approach. But it has to grapple honestly with that finding rather than writing over it with confident claims.

    The question is how strong the evidence is for each hypothesis in the chain. Where that evidence is weak or absent, the model needs to either be revised, explicitly marked with uncertainty, or targeted for more rigorous evaluation.

    What it should not do is present a chain of confident causal statements that have never been seriously interrogated. In a funder-facing document, that kind of overconfidence is common. In a theory of change intended to guide real decisions about real people, it is irresponsible.

    A causal claim that has never been interrogated is not a plan. It is a hope wearing the clothes of one.

    Step Five: Design for Participation

    Up to this point, the work described in this guide can be done entirely within an organization. That is also where it is most likely to go wrong.

    The theory of change is only as accurate as the knowledge that informs it. In social justice work, a significant portion of the knowledge that matters most, knowledge about where systems actually fail, where trust breaks down, what support looks like from the inside, sits with people who are rarely treated as co-authors of program design.

    For the housing coalition, youth who have exited foster care hold knowledge that no literature review or staff meeting can replicate. They know which landlords treat tenants differently once the caseworker stops checking in. They know the specific moments when young people disengage from services and why. They know which success indicators reflect what they actually need and which reflect what is convenient to count. Community partners, frontline staff, and landlords hold different pieces of that same system.

    Braithwaite et al. (2012) document what genuine participation looks like in practice through their community-based participatory evaluation model, developed with the Healthy Start project of the Augusta Partnership for Children. Their model moves through nine stages, beginning with recruiting both community members and evaluation specialists to the same committee from the start of the process, not after the design is complete. Community members are oriented to the evaluation process, win-win dynamics are actively cultivated, and program aims are bilaterally articulated. Assessment instruments are designed, selected, and pilot-tested with community input before any data collection begins.

    The diagram depicting this process is a spiral rather than a linear sequence, with what the authors call “community intelligence” and “cultural appropriateness” running through every stage. That shape is an argument. Evaluation is shaped by whose perspectives are treated as credible. A process designed to extract validation from community members produces a different model than one designed to incorporate their knowledge into the explanatory framework itself.

    Scarinci et al. (2009) document what that difference looks like when it actually occurs. In their multi-state participatory evaluation initiative, community partners did not affirm the logic model that academics had designed. They reshaped it. They restructured working groups by intervention level, rather than by the cancer site categories that made sense to researchers, because that structure better reflected how they understood the problem. They pushed back on assessment instruments they experienced as burdensome academic exercises. They defined success on their own terms, and that definition produced a different model than the one the grant had funded.

    Three lessons emerge from that process that apply directly to theory of change development: constant and open dialogue among partners, flexibility to revise the theory as community input accumulates, and evaluators who act as facilitators between community knowledge and technical expertise rather than as top-down designers.

    This is not about inclusion as a procedural value. A model built without the knowledge of those most affected by the problem will systematically miss key parts of how change happens. The moral case is compelling. The methodological claim is undeniable.

    Easterling et al. (2023) confirm this in a different context. In a multi-site participatory logic modeling process across seven National Cancer Institute centers, engaging funded groups as genuine partners produced a more accurate and more complete model than the funder had initially developed. Grantees identified contextual factors that inhibited success, operationalized assumptions that had been left vague, and added health equity dimensions the original model had not captured. The process took longer. The resulting theory of change better reflected how change was actually expected to happen and was more likely to be owned and used across the initiative.

    For the housing coalition, bringing youth advisors into the theory of change development process changes the model. It surfaces the compliance-driven case management problem before it is built into the design. It shifts outcome indicators from placement counts to something closer to what stability actually means in a young person’s life. It identifies the landlord relationship dynamics that the staff model assumes away. The theory of change that results is not just more equitable. It is more accurate.

    Step Six: Treat the Model as a Living Document

    The final mistake most organizations make is finalizing the theory of change and filing it away.

    Onyura et al. (2021) are direct: logic models and theories of change should be treated as dynamic rather than static, with an expectation that they will evolve as contexts shift and as evaluation data accumulates. For initiatives with emergent outcomes, a series of evolving models developed alongside the work is more appropriate than a single fixed diagram produced in advance.

    For the housing coalition, implementation will test the model in real time. If placements increase but tenancy past the three-month mark does not, the assumptions linking short-term and intermediate outcomes need to be revisited. If landlord participation fluctuates, the recruitment and retention strategy is not producing the conditions the model assumed it would. If youth disengage from case management, the model’s assumptions about trust and service design are incomplete in ways that matter.

    Each of those moments is not a failure of the model. It is the model doing its job, revealing where the current explanation of change does not hold.

    Easterling et al. (2023) describe this ongoing revision as essential rather than optional. In their case study, the initiative’s Health Equity Task Force used the logic model as a diagnostic tool, asking at each stage where equity was explicitly represented and where it was absent, then incorporating those findings into updated versions of the model. The result was not a different model than the one they started with. It was a more honest one.

    The conceptual shift that makes this possible is moving from attribution to contribution. Rather than asking whether the organization can prove it caused an outcome, ask how it is contributing to change alongside other actors in a system it does not control. That question makes revision less threatening and more generative. When the model changes, it is not evidence that the work has failed. It is evidence that the organization is learning.

    What You Are Actually Building

    theory of change diagram showing interconnected pathways including housing, income, policy, trust, assumptions, and harm pathways across time

    By the time this process is complete, the housing coalition, or the advocacy campaign, or the community organizing initiative, has more than a logic model.

    It has a structured description of what it does, an explicit explanation of why those activities are expected to matter, a mapped account of how they could fail or cause harm, a set of assumptions tested against available evidence, a design that reflects the knowledge of those most affected by the problem, and a process for revising that understanding as the work unfolds.

    The model it started with showed staff time and partnerships producing placements producing stability.

    The theory of change it now has shows the housing market conditions that make stability possible or impossible, the income pathways that must run alongside housing navigation, the landlord dynamics that determine whether placements hold, the trust conditions that shape whether youth remain engaged with services, the policy environment that either expands or forecloses what the initiative can accomplish, and the assumptions about all of it that are currently being treated as facts.

    Most organizations stop at the first model.

    The ones producing durable change build the second one, not because the process is elegant, but because the systems they are trying to change are not simple enough to respond to activity alone.

    The logic model tells the performance story. The theory of change tells the truth behind it.

  • The Credentialing Apparatus: How Social Work Institutions Filter Out Lived Experience

    Image depicting the credentialing apparatus with gated barriers labeled licensure, accreditation, debt, and conference, highlighting unequal access to professional pathways.

    The Credentialing Apparatus in Social Work

    Social work does not have a values problem on paper. It has a structural problem in practice.

    Across the profession, the language is consistent. Mission statements center equity. Accreditation standards emphasize anti-oppressive practice. Conferences elevate lived experience as essential to systems change. The words are not the issue. They are repeated often enough to feel foundational, providing a moral veneer for the profession’s institutional identity.

    Beneath that veneer, however, the infrastructure is doing something else entirely.

    The same systems that claim to prioritize lived experience are quietly determining who is allowed to count as a “professional” in the first place. In doing so, they are filtering out the very people whose knowledge is essential to the justice social work claims to seek.

    This is not a hidden problem. It is simply one that is rarely named directly, because doing so requires calling attention to the interlocking institutions that anchor the profession itself.

    So, let’s name it directly.

    The Association of Social Work Boards (ASWB), Council on Social Work Education (CSWE), National Association of Social Workers (NASW), and accredited MSW programs do not operate in isolation. Together, they form an integrated system that governs entry into the profession, defines what counts as legitimate knowledge, and shapes who has access to decision-making spaces.

    In the field of sociology, this is known as a credentialing apparatus. In practice, it functions as a high-precision gatekeeping system.

    This apparatus is far from neutral. It systematically privileges institutionally produced, formally credentialed knowledge, while marginalizing the lived experience expertise held by system-impacted individuals.

    The result is not just exclusion at the margins. It is a narrowing of the profession’s epistemic base. One that directly undermines our stated commitment to justice and community-informed practice.

    This is not a story of individual malice. Many within these institutions are deeply committed to social work’s values. Instead, this is a story of structural logic. Institutions are designed to reproduce themselves. Over time, they optimize for legitimacy, control, and continuity. When left unchecked, these institutional priorities begin to override the values and mission they were built to uphold.

    The consequence is not abstract. The communities social work claims to serve are shaped by systems that have filtered out their knowledge before it ever reaches the table.

    Licensure Exam Bias

    To understand how the credentialing apparatus functions, we should start with its most empirically unambiguous tool: the ASWB licensure examination.

    In 2022, ASWB released a comprehensive analysis of licensing exam pass rates covering a decade of test results, disaggregated by race and ethnicity. The findings shocked the profession. Among first-time test-takers for the Clinical exam, the credential required for independent practice, white candidates passed at a rate of 83.9 percent. Black candidates passed at 45.0 percent.

    We often talk about this as a “39-point gap,” but that framing is too soft. Instead, we should look at the failure rate, the actual speed at which the filter operates.

    First time white exam-takers failed at a rate of 16.1%, compared to 55% for Black exam-takers. Put another way: Black examinees were over 3.4 times more likely to fail than their white peers.

    This is not a minor disparity. It is a consistent pattern, produced over time, and documented by the very organization administering the exam.

    ASWB’s own leadership acknowledged that systemic and institutional racism, specifically anti-Blackness, is “core to the racial disparities evidenced” in these outcomes. They further clarified that the disparity reflects historic and structural conditions, not a lack of competence among Black candidates.

    Read that again.

    The institution responsible for administering the profession’s primary gatekeeping exam has publicly affirmed that its outcomes reflect structural racism, not candidate deficiency.

    And, yet, the exam remains in place as a requirement for advancement.

    This is the credentialing apparatus in its purest form.

    While the clinical exam does not fully determine who can enter the social work profession, it does influence who can advance within it. Who can practice independently, and who gains access to the forms of credibility, autonomy, and compensation that shape long-term career trajectories.

    In that sense, it functions as a high-impact filter. It does not just sort for knowledge. It redistributes opportunity.

    The consequences are tangible. A practitioner who has deep, system-informed lived experience, who has completed their degree, and who is seeking to build a long-term career in social work may encounter a gate that disproportionately blocks advancement for people who share their background.

    Over time, those patterns accumulate. They shape who remains in the profession, who advances into leadership, and whose knowledge is positioned as authoritative within the field.

    Contradictory Accreditation Standards

    CSWE’s 2022 Educational Policy and Accreditation Standards are saturated with the language of equity.

    Educational Policy 2.0, titled Anti-Racism, Diversity, Equity, and Inclusion, requires programs to integrate ADEI principles across the curriculum, cultivate cultural humility, and recognize the role of learning environments in modeling inclusive practice. A 2024 curriculum resource further encourages programs to consider how students’ lived experience shapes both practice skills and their understanding of the populations they serve.

    The message is clear: Lived experience matters.

    However, embedded in the same document, Accreditation Standard 4.1.5 states: “The program does not grant social work course credit for life experience or previous work experience.”

    That isn’t an ambiguous provision. It is a formal prohibition, enforceable through the accreditation review process.

    Whatever lived experience a prospective student brings, however deep their firsthand knowledge of the systemic flaws social work seeks to address, that knowledge cannot reduce the time, cost, or structural requirements of professional entry. It can be discussed in the classroom, or reflected upon in a learning agreement, but it cannot count.

    This is not a minor inconsistency. It is a structural contradiction.

    Lived experience is pedagogically valued and structurally subordinated within the same document. We invite practitioners with lived experience to be seen while ensuring they cannot disrupt the traditional academic metrics that govern professional entry.

    The language used is also quite telling. Programs are told they “may consider” the lived experience of their students. That phrasing does important work. It frames experiential knowledge as optional context, not recognized expertise.

    This pattern extends beyond the classroom and into field education. My analysis of 16 MSW field education manuals, published in The Practicum as Creative Laboratory, found that programs routinely impose legitimacy criteria that systematically exclude grassroots, peer-led, and lived experience-led organizations from serving as field placement sites. Organizations are often required to demonstrate professional liability insurance, minimum years of operation, formal organizational structures, and established written policies and procedures.

    Each requirement is individually defensible. Together, they create cumulative barriers that favor established clinical agencies and effectively exclude mutual aid groups, community organizing collectives, and organizations led by people with direct experience of the systems social work seeks to change.

    The most striking finding from that analysis: not one of the 16 programs explicitly informed students that CSWE’s own standards permit external MSW supervision when programs assume responsibility for reinforcing a social work perspective. The flexibility exists, but programs do not advertise it.

    As a result, students and agencies often assume that on-site MSW supervision is required. Under that assumption, entire categories of potential placement sites, many of them rich in macro learning opportunities and grounded in lived experience leadership, are quietly excluded from consideration.

    This is how the contradiction sustains itself.

    The standards gesture toward inclusion while the structures of implementation maintain exclusion.

    Who Gets to Shape the Discourse

    The CSWE Annual Conference is the flagship gathering for social work education scholarship. It is the space where the knowledge claims of the field are debated, where research is presented, and where the profession’s intellectual agenda is shaped.

    The 2026 conference theme is Rooted in Resilience: Honoring the Past, Grounding the Present. The call for proposals invites presentations on honoring ancestral knowledge and traditional helping practices, the role of storytelling and oral histories in social work education, and resilience in marginalized communities. Lived experience knowledge is positioned as the intellectual center of the conference’s scholarly agenda.

    The participation requirements tell a different story.

    The 2026 CSWE Conference Presenter Responsibility Agreement states, without qualification, that each presenter listed on the proposal must be registered for the full conference and that registration must be paid in full. Presenters who do not comply by July 31, 2026, will be removed from the program. This requirement applies regardless of institutional affiliation, employment status, or financial circumstances.

    The most telling detail: as of the proposal submission deadline (February 12, 2026), conference registration pricing was not publicly available. Presenters were required to agree in advance to pay an unspecified full registration cost. The financial commitment had to be made before the financial cost was disclosed.

    Whatever the eventual price, the mechanism itself works in direct opposition of the stated theme.

    The community organizer, peer specialist, or system-impacted practitioner who lacks an institutional budget is given a choice: pay an undisclosed toll or be erased from the discourse. The conference theme celebrates their voice, while conference policy quietly filters them out.

    This reproduces exactly the dynamic found in our education and licensure: Lived experience is rhetorically centered, but structurally subordinated.

    When we treat participation as a pay-to-play endeavor, we risk turning national discourse into a closed loop. One where the lived experience of marginalized communities is filtered through the voices of those who can afford the ticket.

    The Financial Filter

    The MSW degree is the entry credential for advanced social work practice. What that credential costs, relative to what it pays, should be considered a first-order justice issue by any organization committed to an equitable and representative profession.

    A CSWE and NASW workforce survey found that 2019 MSW graduates carried a mean total educational debt of approximately $66,000, while starting salaries averaged just $47,100. This debt-to-income ratio is among the most unfavorable of any master’s degree field in the country.

    That burden is not evenly distributed.

    The same workforce survey found that Black and African American graduates carried mean debt of approximately $92,000. Hispanic graduates carried approximately $79,000. Both groups entered the profession with debt loads approaching or exceeding twice their starting salary.

    NASW’s 2024 comment letter to the U.S. Department of Education acknowledged that educational costs are high, compensation is persistently low, and debt burden falls unevenly, with women and Black and Hispanic social workers carrying heavier loads.

    The consequences for the field are clear. The people most likely to carry the lived experience knowledge essential to systems reform (child welfare, carceral systems, poverty, housing instability, etc.) are the very people most likely to be blocked by these financial walls.

    When professional entry requires a $90,000 investment for a $47,000 return, we are not “building a workforce.” We are performing a sophisticated form of epistemic filtering. We are ensuring that the leadership of our profession remains a closed circle of those who can afford the debt, while the practitioners social work most urgently needs are priced out before they can ever reach the table.

    The Accountability Gap

    The organizations that form the credentialing apparatus have no shortage of internal committees. ASWB publishes research on its own disparities; CSWE commissions diversity task forces; NASW issues anti-racism statements. What they lack is meaningful external accountability for equity outcomes.

    There is no external body with the authority to require ASWB to develop alternative credentialing pathways because its existing examination produces racially stratified results. There is no mechanism through which students, community members, or practitioners with lived experience can compel CSWE to revise Standard 4.1.5 or reform its conference participation policy. There is no external body that evaluates whether NASW’s governance and employment practices align with its own Code of Ethics.

    Self-regulation, without external constraint, has predictable limits.

    Even where transparency exists, accountability does not necessarily follow.

    Publicly available Form 990 filings show CEOs and Presidents at NASW, CSWE, and ASWB are compensated in the $290,000 to $330,000 range. While these figures are individually defensible within nonprofit governance standards, they also reflect a level of institutional insulation.

    They sit alongside a professional workforce with median earnings around $61,000, a licensure system that produces racially disparate outcomes, and an educational pipeline that requires many entrants to assume debt that vastly exceeds their starting salary.

    The gap is not simply financial. It is structural distance from consequence.

    That distance becomes most visible when institutions act in ways that directly affect practitioners.

    In 2025, NASW moved to restructure its state chapter system, eliminating fourteen executive director positions despite opposition from multiple state chapters, including votes of no confidence and board resignations in several states. The process was widely described by practitioners as opaque and top-down, reflecting governance dynamics that violate NASW’s own code of ethics and stated commitments to participation and shared power.

    The pattern across all of these institutions is the same. Data are generated, statements are issued, committees are formed, and structural change does not occur.

    Without external accountability, the profession’s justice mandate remains a rhetorical tool used to legitimize a system that centers institutional survival over systemic change.

    The Upstream Architecture of the Spiral

    The epistemic erosion spiral describes how clinical drift narrows social work’s public identity, which erodes trust in marginalized communities, discourages system-impacted individuals from pursuing macro pathways, weakens macro practice capacity, and ultimately reinforces clinical dominance. Each stage accelerates the next.

    This analysis begs the question: Where does the spiral’s energy come from?

    The answer is not clinical drift as an abstract force. Drift is a downstream phenomenon.

    The energy is generated upstream by an interlocking credentialing apparatus. It comes from structures that make professional entry financially prohibitive for the practitioners most essential to macro work. From accreditation standards that prohibit lived experience from counting toward the credential. From field education requirements that exclude peer-led and grassroots organizations. From a licensure system that produces racially stratified outcomes and remains in place. From participation policies that require payment to enter the spaces where the profession’s knowledge claims are shaped.

    The spiral does not begin in practice settings. It is engineered by the very institutions charged with developing and sustaining the profession.

    This distinction matters for how we think about reform. If the problem is drift, the solution is reorientation: more macro content in curricula, more advocacy for macro roles, more rhetorical commitment to systems change. The profession has been trying these solutions for decades, yet the spiral continues to accelerate.

    If the problem is design, the solution requires naming the architects. We must hold the profession’s own institutions accountable for outcomes that contradict their stated values. It requires stating plainly that the ASWB’s continued administration of an examination with documented 3.4x failure rates for Black candidates, CSWE’s prohibition on crediting lived experience while invoking it rhetorically, and NASW’s centralization of governance authority while claiming commitment to community voice are not organizational imperfections.

    They are structural choices with structural consequences.

    What Structural Reform Actually Requires

    This is not an argument for dismantling credentialing or abandoning the institutions that sustain the profession. It is an argument about the level at which change must occur.

    The reforms required are structural, not rhetorical. And the profession has not yet been honest about what that actually entails.

    It would mean the ASWB developing alternative credentialing pathways in practice, not continuing to study them in theory, for practitioners who are excluded by an examination its own data show produces racially stratified outcomes.

    It would mean the CSWE revising Standard 4.1.5 to allow for the formal recognition of lived experience as a form of knowledge, and restructuring conference participation so that contributing to professional discourse is not contingent on absorbing an undisclosed financial cost.

    It would mean the NASW building governance mechanisms that provide practitioners and community members with real influence over institutional decision-making, not participation that is primarily symbolic.

    It would mean treating the cost structure of the MSW degree as a justice issue, and advocating accordingly for expanded loan forgiveness, funded field placements, and tuition equity for the students most burdened by the current system.

    None of these changes are technically complex. All of them are institutionally difficult.

    They require acknowledging what the current structure is doing, who it is excluding, and how those outcomes contradict the profession’s stated commitments.

    Until that acknowledgment occurs, reform efforts will continue to orbit the problem without changing it.

    A Closing Word to Practitioners

    If you are a social worker who has felt the weight of a profession that claims your values but does not always honor them, this analysis is not abstract.

    You have seen what happens when someone with deep community knowledge cannot pass a licensing exam built on assumptions they had no role in shaping. You have seen grassroots organizations denied as field placements because they lack the right institutional markers. You have seen the people with the most to teach treated as the most difficult to include.

    To the practitioners carrying lived experience of the systems social work claims to address: Your knowledge is not a liability to be managed. It is a form of epistemic authority that no degree confers and no training can replicate. The fact that our current institutions have failed to build structures adequate to that reality is a structural failure, not a personal one.

    The epistemic regeneration spiral describes a different future: one where visible macro effectiveness rebuilds community trust, trust opens pathways for lived experience leadership, and that leadership strengthens our collective capacity for justice. This spiral is possible, but it requires us to move beyond “honoring” lived experience toward investing in it.

    The profession has the evidence it needs. The question is whether we have the institutional will to act on what we already know.

    This article is part of an ongoing research and analysis series examining professional legitimacy, lived experience leadership, and macro practice in social work. The full academic treatment of this argument has been submitted as a working paper on SSRN, and will be linked here when approved. Related frameworks include the Epistemic Erosion Spiral, the Epistemic Regeneration Spiral, and Deafening Silence: NASW Restructuring and the Fear of Speaking Up.

  • Narrative as Infrastructure: How Storytelling Shapes Systems Change

    A woman of color speaking at a podium to an audience during a public meeting, representing storytelling for systems change in action

    Storytelling for Systems Change

    Story is not decoration. In systems change work, narrative is infrastructure. It shapes which problems get named, who gets blamed, and what solutions feel possible. It also shapes something subtler and more consequential: which systems are allowed to exist at all.

    Narratives determine what counts as legitimate, what counts as natural, and what gets treated as an unfortunate inevitability rather than a policy choice. The right story, delivered in the right way, can make the status quo feel intolerable and change feel necessary. This work comes long before budgets are reallocated or new laws are written.

    This guide is a step-by-step framework for using storytelling strategically. Not just to generate empathy, but to shift how systems are understood and, ultimately, how they function. Each step builds upon the last.

    Step 1: Understand What Story Actually Does (and Where It Fails)

    Stories are powerful, but not always for the reasons advocates assume.

    Ella Saltmarshe, writing in the Stanford Social Innovation Review, argues that story is foundational to systems change. It can reach beyond moving emotions and address something more structural. Story can help people perceive systemic patterns, build coalitions across difference, and imagine alternatives that do not yet exist. Story changes what people see as normal, possible, and their responsibility. It shapes which explanations feel available and which power arrangements feel inevitable.

    That power comes with a significant limitation. A moving personal story, told without strategic intent, can reinforce the very thinking advocates are trying to disrupt. Research from the FrameWorks Institute shows that vivid individual anecdotes often trigger individualistic explanations. Audiences hear about one person’s struggle and reach for causes like personal choice, bad luck, or exceptional circumstance rather than systemic conditions. Emotional resonance without explanatory framing can actively deepen the problem by making structural causes harder to see.

    The distinction that matters here is between awareness and influence. Awareness means someone knows a problem exists. Influence means they understand it differently, attribute it differently, and feel accountable to doing something about it. Storytelling that generates visibility without shifting understanding is not systems change work. It is communications.

    Practical check: After hearing your story, what explanation is most available to the audience? If the answer points toward individual failure or exceptional circumstance, your frame needs work before your story goes public.

    Step 2: Know the Difference Between Personal Story and Strategic Narrative

    A personal story describes what happened. A strategic narrative connects that experience to shared values, systemic causes, and a call to collective action. Both matter. Only one shifts systems.

    Harvard scholar Marshall Ganz developed what has become one of the most widely used frameworks in organizing: Public Narrative. It structures story across three linked levels:

    • Story of Self: Your values, experiences, and what called you to this work
    • Story of Us: The shared experiences and values of your community or coalition
    • Story of Now: The urgent challenge you face together and the specific action required

    What makes this framework powerful for systems change is its insistence that personal narrative becomes strategic only when it is explicitly connected to collective purpose and present conditions. The story of self is not self-expression. It is a bridge to the story of us, which is a bridge to action.

    The FrameWorks Institute’s research reinforces why those bridges matter. Without them, individual stories tend to produce empathy rather than power. Audiences feel moved but remain observers rather than actors. Strategic narrative positions people as participants in a shared condition, not witnesses to someone else’s.

    Practical step: Before drafting any story for advocacy purposes, identify which level you are working at and what the other two levels need to say to complete the arc. If you can’t name the specific action the story is building toward, you do not yet have a strategic narrative.

    Step 3: Center Lived Experience Without Extracting It

    The people closest to broken systems carry the most credible knowledge about how those systems actually work. Centering lived experience is not just an ethical obligation; it is epistemically necessary. It surfaces what institutional data obscures and lends moral authority that no amount of policy analysis can replicate.

    But how you do it matters enormously.

    Extraction happens when organizations use personal stories for institutional gain (funding, visibility, legitimacy) without meaningfully returning power, credit, or control to the storyteller. It produces what practitioners call “poverty porn”: narrative that generates donor engagement while reducing complex human beings to their suffering. Beyond the ethical failure, it is strategically corrosive. Systems change requires trust, and extractive storytelling destroys it by reproducing the very power dynamics the work aims to address.

    This dynamic is not theoretical. We have explored it in depth in our previous articles Thrown Into The Fire and The Epistemic Erosion Spiral.

    The Ethical Storytelling Roadmap, developed collaboratively with peer organizations, practitioners, and individuals served, offers a framework built around three principles:

    • Time: Giving storytellers adequate space to consider participation, prepare, and debrief
    • Transparency: Being explicit about how a story will be used, who will see it, and what control the storyteller retains
    • Trauma-Informed Practice: Designing every touchpoint around safety rather than extraction

    Maria Bryan’s practitioner guide on trauma-informed nonprofit storytelling adds that consent should be ongoing rather than one-time, framing should center strengths and agency rather than suffering, and storytellers should retain the right to revise or withdraw their participation at any stage.

    Practical step: Before collecting any story, be able to answer three questions: What does the storyteller gain from participating? What ongoing control do they have over their narrative? What would you do if they asked you to stop using it? If the answers are unclear, the process is not ready.

    Step 4: Know Your Audience and Choose Your Frame

    The same story, told to different audiences with different frames, produces different conclusions. Strategic storytellers do not have one story. They have one set of values and many ways of communicating them, calibrated to where their audience actually is.

    The FrameWorks Institute offers useful insight here: audiences come to any issue with existing mental models, or “the pictures in people’s heads.” Your story will be filtered through those models whether you design for them or not. The question is whether you are working with that reality or ignoring it.

    Effective audience and frame analysis involves four steps:

    1. Map your audience’s default thinking. What causes do they instinctively attribute, who do they hold responsible, and what solutions feel common-sense to them?
    2. Inventory the frames already in circulation around your issue in media, policy debate, and organizational messaging.
    3. Choose values and metaphors that open up systemic thinking rather than triggering the defaults you are trying to displace.
    4. Test before you scale. Frames that feel intuitively right to advocates often land differently with audiences who do not share the same analysis.

    A common and costly error is designing stories for people who already agree. That produces engagement among the converted and has no effect on the people and institutions that actually need to shift. Systems change requires influencing audiences who are skeptical, ambivalent, or operating from fundamentally different assumptions about how the world works.

    Practical check: What does your story allow a skeptical audience to conclude? If the frame still points toward individual responsibility or charitable exception rather than structural conditions, the story is not ready for that audience.

    Step 5: Build a Story Arc That Moves People Toward Action

    A strong advocacy story is not just emotionally resonant. It is structurally designed to move an audience from passive witness to active participant.

    Narrative Arts’ Storytelling and Social Change strategy guide has become a foundational resource in practitioner circles. It offers a five-part organizing arc that works well for systems-level advocacy:

    • A character with a clear stake in the outcome;
    • A conflict rooted in systemic conditions rather than individual failure;
    • A turning point where change becomes possible;
    • A resolution that names what is achievable rather than only what is wrong; and,
    • A call to action that connects the audience to the work in a specific and concrete way.

    The most important structural choice in systems change storytelling is this: the audience is the protagonist. Not the individual whose story is being told, the advocate telling it, or the organization leading change efforts. Your story should position the listener as someone whose action is necessary and possible. A story that generates empathy without enabling agency produces visibility, not power.

    Ganz’s public narrative framework reinforces this point. The story of now is not a description of crisis. It is an invitation that names the challenge, raises the stakes, and presents the audience with a specific moment of choice. If there is no clear action embedded in that invitation, the story will move people without mobilizing them.

    Practical step: Map your story against these five structural elements before finalizing it. If the call to action is vague or absent, the story is incomplete as an advocacy tool.

    Step 6: Measure Whether Your Story Is Actually Shifting Anything

    Narrative change is long-term work, and its effects are often diffuse. That does not make it unmeasurable. In fact, it makes intentional measurement more important, not less.

    A framework published in the Stanford Social Innovation Review proposes four levels of evaluation for narrative change efforts:

    1. Story Design: Does your story address power structures, center affected voices, and connect individual experience to systemic causes?
    2. Reach: Are you getting your story to the audiences who need to encounter it, through channels they trust?
    3. Immediate Outcomes: Are attitudes, knowledge, or behavioral intentions shifting among your target audiences?
    4. Discourse and Systems Change: Are the dominant narratives in media, policy, and public conversation actually moving over time?

    Opportunity Agenda’s narrative strategy toolkit adds a practical discipline: measurement should be built into campaign design from the beginning, not treated as something to evaluate afterward. Define what counts as a shift before you launch. Set a baseline. Identify the indicators you can realistically track with available resources.

    For smaller organizations, this does not require a formal evaluation budget. It might mean tracking how an issue is framed in local media over a six-month window, noting how decision-makers describe a problem before and after sustained engagement, or gathering brief responses from community members following a storytelling campaign. What matters is not the sophistication of the method but the discipline of asking the question consistently: is this story changing anything beyond attention?

    Practical step: Choose one indicator at each of the four levels and write it down before your campaign launches. Review it at regular intervals and be willing to adjust your narrative strategy based on what you find.

    Putting It Together

    Storytelling for systems change is not about visibility. It is about influence. It’s about shifting who holds explanatory power over a problem, whose knowledge gets treated as credible, and what solutions are considered. Done well, it changes not just what people feel but what they believe is structurally possible and politically legitimate.

    The organizations doing this work most effectively are not the ones with the most polished production values or the most emotionally devastating stories. They are the ones who have thought rigorously about what they are trying to shift, earned genuine trust with the communities they serve, and stayed accountable to the difference between generating awareness and building power.

    Awareness without influence is not systems change. Empathy without accountability is not justice. The story that moves someone to feel without moving them to act or to see differently will not effect change.

    Those who have lived the harm entrusted us with their stories. Our responsibility is to use those stories to shift understanding, build accountability, and prevent the harm from being reproduced.

    We owe them more than empathy. They deserve change.