Systems Thinking for Strategic Planning: Building a Theory of Change That Works
You figured out what’s broken. You even found the best places to push. But now what? How do you turn a list of insights into an actual plan?
Chapter 11 of Systems Thinking for Social Change by David Peter Stroh opens Part 3 of the book: shaping the future. Everything up to this point was about looking backward. Why did your best efforts fail? What patterns kept repeating? Now Stroh flips the perspective. Instead of understanding the past, you’re building a road map forward.
And it turns out, the way most organizations plan is part of the problem.
Looking Forward vs. Looking Back
Stroh makes a clean distinction between two ways of using systems thinking.
Retrospective (backward-looking): You study why a chronic problem persists despite everyone’s best efforts. You map root causes, find hidden feedback loops, and identify where to push for change. This is what the book covered in Parts 1 and 2.
Prospective (forward-looking): You create a strategic road map that accounts for complexity, interdependence, and time delays. You connect your insights into a coherent path that sequences actions over time and plans for sustainability.
Finding your best moves is not the same thing as knowing how to play them. That’s the gap this chapter fills.
Why Linear Plans Fall Short
Most strategic plans look like a straight line. Inputs lead to outputs lead to outcomes. Simple and clean.
But social systems don’t work that way. They loop. Actions create feedback that changes the conditions for future actions. Time delays mean results show up way later than you expect. And unintended consequences pop up because you didn’t account for how all the pieces connect.
Circular road maps, built with systems thinking tools, handle this better. They:
- Show how reinforcing and balancing loops feed forward over time
- Focus on improving relationships between parts, not just the parts themselves
- Sequence multiple actions over time instead of treating everything as equally urgent
- Account for time delays
- Plan for both quick wins and long-term sustainability
Stroh shares a striking example. The W.K. Kellogg Foundation’s Food & Fitness program used a circular theory of change to pitch their nationwide proposal to the board. The map communicated the strategy so clearly that the board approved it at the very first review meeting. That had never happened before.
Two Theories of Systemic Change
At the heart of this chapter are two core frameworks for planning. You pick one based on your situation.
1. Success Amplification
Start here when things are already working and you want to build on what’s good.
The basic structure has three parts:
- The engine of success (R1): Identify the reinforcing loop that drives current success. What’s working? What factors build on each other to create good outcomes?
- Limits to growth (B2): What could slow down or stop your progress? Every success runs into friction eventually.
- New engines of growth (R3): How will you overcome those limits and create the next wave of success?
You also need to identify key time delays. Success doesn’t happen overnight, and people get impatient.
This approach draws from methods like appreciative inquiry and positive deviance. You’re not starting from what’s broken. You’re starting from what’s strong.
2. Goal Achievement
Start here when you’re trying to close a gap between where you are and where you want to be.
The basic structure:
- The gap and correction (B1): What’s the distance between current reality and your goal? What corrections are needed to close it?
- Stay the course (B2): Because of time delays, you need patience. Persistence matters.
- Rethink the challenge (B3): If progress isn’t happening even after accounting for delays, step back and reconsider your assumptions.
Goal Achievement also has a second phase focused on sustainability. Once you start making progress, you need reinforcing loops to keep momentum going:
- Raise aspirations (R4): As you hit early goals, set bigger ones.
- Grow your actions (R5): Use your track record to raise funds, build partnerships, advocate for policy changes, and scale what works.
- Reinvest savings (R6): When you solve symptoms, redirect the money that went to treating those symptoms toward prevention and growth.
Stroh gives a practical example of that last point. In Massachusetts, keeping people in permanent housing saved about $9,500 per person per year compared to emergency rooms and shelters. That money could be redirected to programs that prevent homelessness in the first place.
Organizing Your Insights Into a Strategy
Once you have your theory, you need to organize all those insights you gathered during root cause analysis into something actionable. Stroh walks through several real cases.
Iowa’s Education Partnership
The Collaborating for Iowa’s Kids initiative used Success Amplification. Their core reinforcing loop described how the Iowa Department of Education and Area Education Agencies could build on their existing partnership. They added two more reinforcing loops: one for increasing coherence within the AEA system, and another for improving collaboration between the two organizations.
They also identified major obstacles and five specific strategies for overcoming them. The key was connecting everything into one map that showed how all the pieces related.
Eagle County’s Healthy Community
The Eagle County Public Health department took a different path. They used Goal Achievement because they were trying to close a real gap: health equity for vulnerable populations, including children in poverty and undocumented immigrants.
Their analysis uncovered what Stroh calls a “Treading Water” pattern. Strong forces were dragging people down, and equally hard efforts were barely keeping them afloat. They found five vicious cycles hurting financial stability and health over time.
The biggest insight? There were plenty of organizations trying to help. But they weren’t coordinating. Like rowers in a boat dipping their oars at different times, the lack of coordination wasted resources and slowed everyone down.
From this, they identified high-priority actions:
- Map existing community health resources so people actually know what’s available
- Get service providers to collaborate instead of working in silos
- Engage vulnerable populations as equal partners
- Involve families, employers, churches, educators, and political leaders
- Plan the physical environment with health in mind (housing, recreation, walkability)
They also named the mental models holding the status quo in place. Things like “they aren’t motivated to take care of themselves” and “the system is too big to change.” Calling these out was part of the plan.
The group organized all of this into balancing loops for initial improvements and reinforcing loops for sustainability. The result was a road map that showed exactly how each action connected to the others and to the overall goal.
Integrating Critical Success Factors
Sometimes you don’t have a root cause analysis to work from. You’re creating something new and need to pull together a bunch of success factors into a strategy that makes sense.
Northeast Iowa Food & Fitness
When the W.K. Kellogg Foundation launched its Food & Fitness program in 2006, childhood obesity was a growing concern. Community leaders in northeast Iowa built a Success Amplification theory based on one thing they already had: strong relationships.
Their core loop: strong relationships lead to collective thinking, which leads to collaborative action, which leads to better results, which leads to even stronger relationships. A virtuous cycle.
They also planned for limits. They knew that delays in learning to work across boundaries and converting ideas into policy would test people’s patience. So they invested in collaborative tools, engaged policy makers early, and set realistic expectations about timelines.
Six years later, the project director said their core theory of success “has, indeed, held up over time.” The team still used it to stay focused, onboard new partners, orient new staff, and create new strategies.
Eagle County Schools: All Children Loved and Successful
The InteGreat! coalition used Goal Achievement to build a community where every child is valued and successful. They identified seven key success factors, four of which were about relationships:
- Quality of community relationships among organizations
- Level of collaboration and integration
- Level of youth engagement
- Level of family engagement
- Data-driven and evidence-based practices
- Access to opportunities
- Equity
They mapped these into a detailed theory of change with multiple balancing loops for initial improvements and reinforcing loops for sustainability. The full map covered collaboration among service providers, youth and family engagement, shared data practices, aligned infrastructure, and a backbone organization to hold it all together.
Over time, the coalition simplified their complex theory into three core ideas:
- A collaborative trust that aligns existing organizations will improve equity of opportunities for children.
- Families and children must be directly engaged in the work.
- Data must drive continuous improvement and maximize efficiency.
The consultant to the project reported that the map became the coalition’s go-to reference. Steering committees translated the loops into plain language stories to explain the plan to their communities. And the process itself sparked the first honest conversations about inequity in the community.
Streamlining When You Have Too Many Priorities
Here’s a scenario that will feel familiar. Your organization has thirty programs and not enough budget to run all of them well. People fight over funding. Every program feels essential to the people running it. Cutting anything feels like a personal attack.
A large child welfare agency faced exactly this. They had too many programs, too little money, and internal tension between program managers and the research/evaluation unit. Program people felt research was draining their budget. Research people felt undervalued.
The management team built a systemic theory of change that categorized all thirty-plus programs into four groups:
- Prevention: Helping at-risk families stay stable
- Stabilization: Caring for children removed from unsafe homes
- Development: Supporting those children’s growth and education
- Placement: Reunifying children with families or finding permanent alternatives
Then they mapped how these categories connected. If prevention fails, children enter stabilization, then development, then placement. That’s the core balancing loop.
Next, they mapped how research/evaluation and advocacy connected to program sustainability. Research generates evidence. Evidence strengthens fundraising. Evidence also supports advocacy. Advocacy further increases fundraising. And fundraising funds programs.
Three things happened after they built this map:
Programs that didn’t fit became obvious. Some programs didn’t connect to the core theory in any meaningful way. These were the programs whose managers had always argued the loudest for their survival. Maybe they sensed their programs didn’t quite belong. Those programs were either transferred to other organizations or phased out.
Sequencing replaced fighting. Instead of arguing about who’s more important right now, the team agreed on a timeline. Invest more in evaluation in the short run to build an evidence base. Shift more to advocacy over time once that base is solid. Taking time delays into account turned zero-sum debates into collaborative planning.
Everyone saw their contribution. Research, evaluation, advocacy, and direct programs all had a clear role in the theory. Nobody was optional. They were just needed at different times and in different ways.
This is one of the most practical takeaways from the chapter. Sequencing beats prioritizing. When you prioritize, people hear “your work doesn’t matter.” When you sequence, people hear “your work matters, and here’s when it matters most.”
Refining Your Theory Over Time
A theory of change is not a finished document. It’s a living tool. Stroh outlines three ways to keep it useful:
Incorporate more voices. After the core leadership group creates the initial theory, bring in a wider group. Include the people who will actually be affected by the plan: students, patients, community members. Include the private sector, which nonprofits often overlook. The theory needs to be rich enough to hold multiple perspectives but simple enough to act on.
Track what actually happens. Identify key indicators for each variable in your theory. Estimate time delays. Draw out what you expect to see happen over time. Then compare your projections with reality. Set milestones so you can check your progress without waiting years.
Modify based on what you learn. When reality doesn’t match your projections, that’s not failure. That’s data. Rethink your cause-and-effect assumptions. Adjust your strategy for shifting mental models. Update your timelines.
Computer simulations can help here. They compress years of time delays into seconds, letting you test different scenarios quickly. Simulations exist for issues like climate change, sustainability, and healthcare delivery. They require more upfront investment but can speed up learning significantly.
The Big Picture
Chapter 11 bridges the gap between understanding systems and actually using that understanding to plan. Here’s what to remember:
- Retrospective systems thinking tells you why the past happened the way it did. Prospective systems thinking helps you shape what happens next.
- Success Amplification builds on what’s working. Use it when you have existing strengths to expand.
- Goal Achievement closes the gap between where you are and where you want to be. Use it when you need to correct course.
- Both theories plan for sustainability through reinforcing loops.
- Sequencing over time resolves priority conflicts better than ranking.
- Your theory of change should evolve as you learn. Track it, test it, and update it.
Circular road maps do something that linear plans can’t. They show how everything connects. They communicate complex strategies quickly. And they hold up over time because they account for the feedback, delays, and mental models that shape how social systems actually work.
The next chapter looks at how to evaluate your progress using systems thinking tools, so you can tell whether your theory of change is actually working.
This post is part of a series retelling “Systems Thinking for Social Change” by David Peter Stroh (ISBN: 978-1-60358-580-4). You can find the full series on this blog.