Definition
A results chain is the sequential hierarchy of change that shows how a programme is expected to create impact. It maps the logical connection from activities (what you do) through outputs (direct products) and outcomes (short and medium-term changes) to impact (long-term effects). The results chain is the backbone of any theory of change: it answers the question "how does doing X lead to Y?"
Each level represents a different type of result, with increasing distance from programme control but increasing significance for the target population. A well-constructed results chain makes explicit the causal assumptions connecting programme actions to intended change.
Why It Matters
The results chain serves three critical functions. First, design validation: it forces you to test whether your activities logically connect to intended impact. If you cannot articulate a plausible pathway from what you do to the change you seek, your programme design needs revision. Second, measurement guidance: each level tells you what to measure, from activity completion through output delivery to outcome change and long-term impact. Without a clear results chain, indicator selection becomes arbitrary. Third, communication clarity: a simple results chain diagram can explain your programme logic to donors, communities, and staff in ways that narrative descriptions cannot.
In Practice
A results chain typically appears as a flow diagram with four to five levels:
Inputs > Activities > Outputs > Outcomes > Impact
For example, a maternal health programme might map: train midwives (activity) > 200 midwives trained (output) > increased skilled birth attendance (outcome) > reduced maternal mortality (impact).
At each link, document assumptions, the conditions that must hold for the causal connection to work. "Training midwives leads to increased skilled attendance" assumes midwives remain in the health system, communities trust them, and facilities have supporting equipment.
The results chain is often visualized alongside a logframe, which adds operational details (targets, indicators, verification sources) to each level. A results chain focuses on causal logic; a logframe adds management specifications. A theory of change goes further by adding the evidence base and contextual factors that explain why each causal link is expected to hold.
Common pitfalls include skipping levels (jumping from activities to impact), confusing outputs with outcomes ("500 farmers trained" is an output, not an outcome), and failing to document assumptions at each link.
Related Topics
- Theory of Change: the broader framework that includes the results chain plus assumptions and evidence
- Logframe: the operational framework that adds targets and indicators to the results chain
- Intervention Logic: the reasoning that connects programme actions to intended results
- Outcome: understanding what distinguishes outcomes from outputs and impact
- Results Framework: portfolio-level structure that aggregates multiple results chains