Four worked theory of change examples by sector, why most examples fall apart, and how a worked example maps to a logic model and a template you can adapt.
A theory of change example is a filled-in version of the six-component pathway — problem, inputs, activities, outputs, outcomes, impact — for a specific program, with the assumption under every arrow and an indicator on every outcome. A real example shows the reasoning and the measurement, not just the boxes. Most published 'examples' show only the boxes, which is why they are hard to learn from. The assumptions and indicators are the example.
This guide gives four worked theory of change examples across sectors, shows why most examples fall apart, and shows how a worked example maps to a logic model and a template you can adapt. The definition and the full six-component walkthrough live on the theory of change page; this page is for seeing it done.
Key takeaways
Most theory of change examples fail as teaching tools because they show the six boxes and stop — no assumption under any arrow, no indicator on any outcome. A diagram of filled boxes looks like a theory of change but is actually a logic model at best, and you cannot see why the author thought the activities would produce the outcomes.
Sopact calls the standard a real example has to meet The Testable Example: every arrow carries a named assumption and every outcome carries an indicator, so the logic is visible and the example can be checked against data. The difference is a data-model one — a diagram of boxes versus boxes wired to assumptions and indicators. The blank version to fill in is the theory of change template, and the layout patterns are on theory of change diagram. The stage below shows one borrowed example adapted both ways.
Across workforce training, education, health, and environmental programs, the six-component structure is the same; what changes is the outcome each claims and the assumption most likely to break it. Reading the third column is the point — the assumption a program must test is where a theory of change earns its keep.
Each example below is a compressed version; a full worked example names an indicator and an instrument for every outcome. The frame that structures the outcomes is on five dimensions of impact, and building your own from a program page is on how to build a theory of change.
| Sector | The outcome it claims | The assumption it must test |
|---|---|---|
| Workforce training | Participants reach living-wage jobs | Employers recognize the credential |
| Education / youth | Students read at grade level | Attendance holds and instruction is at quality |
| Health program | Patients stay in treatment | Barriers like transport and cost are removed |
| Environmental / community | A practice is adopted at scale | Incentives outlast the program's funding |
A theory of change example, a logic model, and a template are three presentations of the same content: the example shows the reasoning, the logic model shows the same pathway as a left-to-right matrix, and the template is the blank canvas you fill to make your own. Build the logic once and switch the format rather than maintaining three documents.
The move that makes this work is treating the assumptions as the content you carry between formats — a logic model strips them for brevity, but they are what the example exists to teach. The structural comparison is on theory of change vs logic model, the matrix version on logic model, and the M&E sequencing on theory of change in monitoring and evaluation.
A theory of change example copied and filed inherits assumptions nobody tested; reading your own cohort's evidence as it arrives turns the borrowed example into a hypothesis you revise. That is the premise of the Loop, Sopact's method for continuous impact intelligence: collect clean at the source, analyze the moment data arrives, improve while you can still act.
The Loop is also what makes an adapted example defensible. Every outcome traces to the participant who reported it and every assumption to the evidence for or against it, so the example resolves to your data rather than the source's. That standard has its own chapter in reliability and reproducibility. The practice these examples serve is on impact measurement.
One method, three moves that never stop
Then the cycle runs again, a little sharper each cohort. Read the method: the Loop methodology →
The fastest way to use an example is to adapt one to your program and test its assumptions on your cohort. Each prompt below pastes into Sopact Sense's Assistant, or reasons through with your team; the arrow above each links the Academy walkthrough that shows the expected output and the tips.
Academy walkthrough → Adapt a sector example to your program
Adapt the closest sector theory of change example to this program: [PASTE PROGRAM + SECTOR]. Fill the six components, and for every arrow state the assumption and for every outcome name the indicator and instrument. Flag the two or three assumptions most likely to break for this specific program. Return a one-page worked example I can revise.
Academy walkthrough → Audit an example for missing logic
Audit this theory of change example for what it hides: [PASTE OR LINK]. List every arrow with no stated assumption and every outcome with no indicator. Flag anything that is really an output dressed as an outcome. Return the corrected example with an assumption on each arrow and an indicator on each outcome.
Academy walkthrough → Name an indicator for every outcome
For each outcome in this theory of change example, name the indicator and the instrument that would test it: [PASTE OUTCOMES]. Write each indicator as who is measured / what changes / by when, and flag any outcome that cannot be measured with the data a program like this collects. Return a table: Outcome / Indicator / Instrument / Measurable?
Academy walkthrough → Convert the example to a logframe
From this theory of change example: [PASTE OR LINK], produce a logframe — goal, purpose, outputs, activities — each row with its indicator, means of verification, and assumption. Keep the assumptions the example carried rather than dropping them. Return the logframe.
Each walkthrough is a hands-on companion written to run on your own data: what to do, the prompt to run, the output to expect, and the tips that keep it reliable.
Watch: reading a worked theory of change example for the assumptions and indicators, not just the boxes — which is what makes it testable.
A theory of change example is a filled-in version of the six-component pathway for a specific program, with the assumption under every arrow and an indicator on every outcome. A real example shows the reasoning and the measurement, not just the boxes. Sopact calls the standard the Testable Example — most published examples show only the boxes, which is why they are hard to learn from or adapt safely.
A workforce training example: the problem is under-employment; inputs are funding, instructors, and an employer partner; activities are twelve weeks of instruction plus an internship; outputs are completed modules and earned credentials; outcomes are participants placed in living-wage roles and retained at twelve months; impact is reduced reliance on public assistance. The key assumption is that employers recognize the credential — without it, the whole chain breaks. Sopact's point is that the assumption is the part that makes it an example worth studying.
Workforce training aims at living-wage employment, assuming employers value the credential; education aims at grade-level reading, assuming attendance holds and instruction is at quality; health aims at treatment retention, assuming barriers like transport and cost are removed; environmental work aims at a practice adopted at scale, assuming incentives outlast the funding. The structure is identical across sectors; the outcome and the fragile assumption change. Sopact's four worked examples above compress each to its claim and its key assumption.
Because they show the six boxes and stop — no assumption under any arrow, no indicator on any outcome — so they are logic models wearing the name and you cannot see why the author thought the activities would produce the outcomes. A diagram you cannot test is a picture. Sopact holds every example to the Testable Example standard: an assumption on each arrow and an indicator on each outcome, so the logic is visible and checkable.
An example is a filled-in theory of change for a specific program; a template is the blank canvas you fill to make your own. The example teaches by showing the reasoning; the template gets you to a draft. The cleanest workflow reads an example for the assumptions, then uses a template to build your version. Sopact's blank version is on the theory of change template page.
You can start from one, but copying it wholesale inherits its assumptions, which may not hold for your program — and the first cohort will contradict an assumption the borrowed diagram never surfaced. Adapt the example: keep the structure, rewrite the outcomes for your context, and name the assumptions your specific program depends on. Sopact treats a borrowed example as a hypothesis to test on your own cohort, not a diagram to file.
The same pathway, presented differently: the example shows the reasoning with assumptions; the logic model lays the same inputs-to-impact chain in a left-to-right matrix, usually stripping the assumptions for brevity. Build the logic once and switch the presentation. The full comparison is on the theory of change vs logic model page, and Sopact keeps both as views of the same content so they never diverge.
The four worked examples on this page cover the most common sectors, each compressed to its outcome and its key assumption; the full six-component walkthrough is on the theory of change page, and a blank template to build your own is on the theory of change template page. The best example is ultimately your own, adapted from a sector model and tested on your cohort. Sopact drafts one from your program page and tests its assumptions as your data arrives.
Next: build your own from the theory of change template, or read the full pathway on theory of change.
