Program evaluation is ultimately about answering the question: Is this program creating the change it set out to create?

Before that question can be answered, organizations first need to define what changes they want the program to make, and what achieving those changes looks like. That’s where a Theory of Change and Logic Model come in.

While these tools are often developed to satisfy grant or funder requirements, at SSRS we believe they can be much more than a box to check. When developed thoughtfully, they become living frameworks that guide implementation, support decision-making, and make sure evaluations measure what matters.

To do this, SSRS leverages our expertise in quantitative and qualitative research to bring a mixed-methods mindset to developing Theories of Change and Logic Models.

Defining a Theory of Change and Logic Model

A Theory of Change and a Logic Model are foundational tools for program planning and evaluation. Together, they help organizations articulate how their program is expected to create meaningful change for participants and communities while providing a roadmap for measuring whether that change is happening. While a Theory of Change focuses on the why, a Logic Model focuses on the what and how.

A Theory of Change articulates the long-term goals a program hopes to achieve, the short- and intermediate-term outcomes that lead to those goals, and the assumptions about how and why those changes are expected to occur. Rather than focusing on individual program activities, a Theory of Change explains the underlying pathways through which a program expects to create lasting impact.

A Logic Model builds on that Theory of Change by translating it into a practical framework for implementation and evaluation. For each outcome articulated in the Theory of Change, a Logic Model outlines the resources a program has (inputs), the activities it delivers, the immediate products of those activities (outputs), and the short-, medium-, and long-term outcomes it expects to achieve.

The two tools are closely connected. A well-developed Theory of Change provides the foundation for a Logic Model by clarifying the causal pathways that the Logic Model then organizes into a structured, measurable framework. Together, the tools set a shared understanding among program staff, participants, and other stakeholders of what the program is trying to accomplish and how it expects to get there.

When developed thoughtfully, these tools become much more than planning documents. They can guide implementation, inform program refinement and expansion, align stakeholders around a common vision of success, and ensure evaluation efforts are measuring the outcomes that matter most.

Importantly, it is never too late to develop a Theory of Change or Logic Model. Whether a program is preparing to launch or has been operating for years, investing the time to develop these frameworks can provide a program with a stronger foundation for future decision-making and evaluation.

Understanding what these tools are, however, is only the first step. The real value lies in how they are developed.

The SSRS Approach to Developing a Theory of Change and Logic Model

At SSRS, we create Theories of Change and Logic Models that are meaningful, relevant, understandable, actionable, and designed to evolve alongside a program. Rather than treating them as static deliverables, we view them as foundational frameworks that organizations should continue to actively use throughout the lifespan of the program.

Our approach is shaped by the unique fact that our staff are not just evaluators, we are mixed-methods researchers. That means we approach Theory of Change and Logic Model development with the same human-centric and rigorous mindset we bring to designing our surveys and qualitative research studies.

First, we bring a qualitative mindset to defining success in the Theory of Change.

The most challenging part of developing a Theory of Change is defining what success actually looks like for a program.

When these conversations remain at the level of broad aspirations, the Theory of Change can ultimately be too vague to actionably guide the evaluation. When a Theory of Change is too vague, it fails to create a shared understanding of what success truly means or how change is expected to happen.

This is where qualitative research expertise makes a difference. At SSRS, we know that thoughtful questions lead to more meaningful insights. Rather than relying on standard questions in stakeholder conversations such as, “What do you hope this program achieves?“, we dive deeper to encourage stakeholders to think more concretely.

For example:

“Imagine your program has been wildly successful. A reporter from a major news organization is interviewing you about it. What’s the headline? What are people celebrating? What changed because your program existed?”

Questions like these move stakeholders beyond mission statements and aspirational language. They uncover assumptions, surface different perspectives, and help organizations define success in ways that are tangible enough to build a meaningful and actionable Theory of Change.

Then, we apply a quantitative mindset to making the Logic Model measurable.

Once stakeholders have articulated their vision, the next step is ensuring everyone interprets that vision the same way.

Organizations often write outcomes in their logic models such as “build trust,” “increase engagement,” or “strengthen community.” While these are important goals, they are also open to interpretation. What does trust actually look like? And how would anyone know whether it had been achieved?

This is where SSRS’s survey design expertise comes in. Just as a well-designed survey question minimizes ambiguity and ensures respondents interpret it consistently, a well-designed Logic Model defines outcomes with enough precision that they can be implemented, measured, and refined over time.

• Rather than articulating an outcome as “build trust,” we ask, “What would participants do differently if trust had increased?” in order to define clear, attainable outcome measures.
• Rather than articulating an outcome as “increase engagement,” we ask, “What specific actions can participants take to engage?”

By pushing for greater precision, we help organizations move from broad aspirations to outcomes that are meaningful, measurable, and .

Finally, we infuse participant perspectives into the Theory of Change and Logic Model.

Our research at SSRS is all about understanding human behavior to impact positive change. In the development of Theories of Change and Logic Models, we believe it is essential to include the voices of program participants to strengthen the relevance and specificity of the outcome metrics. We may do this by engaging a small group of participants in foundational qualitative research to define short-, medium-, and long term outcomes; and by inviting them to review and comment on drafts of the tools. Click here to learn more about SSRS’ approach to intentional participant involvement in program evaluation.

Better Frameworks Lead to Better Evaluations

A Theory of Change and Logic Model are not valuable because they satisfy a grant requirement. They are valuable because they create a shared understanding of what success looks like and provide a roadmap for achieving it.

Developing that roadmap requires mixed-methods skill sets. It requires the curiosity and facilitation skills of qualitative research to uncover what success truly looks like, and the precision and measurement mindset of quantitative research to define those outcomes clearly enough to be measured.

For any program, an evaluation is only as strong as the framework it’s built upon. Organizations can’t measure success until they’ve first defined what success means. By bringing a mixed-methods mindset to Theory of Change and Logic Model development, SSRS helps clients build frameworks that are rigorous enough to support evaluation, practical enough to guide day-to-day decision-making, and flexible enough to evolve as programs grow.