I use compounding cautiously because the language of exponential growth can be imported too casually into social systems. Most positive interventions do not generate self-amplifying returns indefinitely, and social outcomes are constrained by institutions, resources, changing contexts and diminishing effects.
There is nevertheless a narrower phenomenon that I think is worth designing for: some outcomes alter the conditions under which later outcomes are produced.
A participant acquires a skill and later uses it to help somebody else. A programme creates relationships that support another initiative. A community develops organisers who can run activities independently. A partnership creates sufficient trust that a second collaboration requires less negotiation. Research produced for one problem improves decisions elsewhere.
In each case, an outcome has also become an input.
That is the sense in which positive change can compound.
The distinction matters because conventional programme logic often terminates at the intended outcome. A programme produces a benefit, the benefit is measured, and the causal chain effectively ends. But some interventions leave behind capabilities, relationships, knowledge or infrastructure whose effects continue beyond the original delivery period.
This creates a different way to think about durability. A programme does not necessarily need to persist indefinitely for its effects to endure. In some cases, continued dependence on the original programme might indicate that relatively little capability has transferred.
A community initiative that develops competent organisers may eventually need less central facilitation. A support programme that improves navigation capability may reduce a participant’s dependence on future navigation support. An institutional project that changes a recurring process may create value long after the project team has dissolved.
None of these effects should be assumed. Capability can decay. Relationships weaken. Knowledge is lost when people leave. Organisational learning can remain local to a project team rather than becoming embedded in practice. Some forms of support appropriately remain ongoing rather than being designed around eventual independence.
The practical question is therefore which outcomes have a plausible second-order productive effect and whether that effect can be observed.
For Real Good, I am interested in indicators such as participants becoming contributors, contributors becoming organisers, relationships generating further collaborations, project learning being reused, infrastructure serving additional purposes, and institutions changing subsequent practice as a result of what was learned.
These effects matter because they alter the relationship between intervention and capacity. The organisation is no longer producing only a sequence of isolated outcomes; some of those outcomes increase the capabilities available for producing later ones.
That connects several parts of Real Good’s work. Agency matters partly because a person who becomes more capable can act beyond the intervention. Community capability matters because networks can coordinate activity that Real Good does not centrally produce. Social infrastructure matters because accumulated relationships can lower the cost of future action. Organisational learning matters because insight can improve subsequent decisions.
The question I want to retain is therefore relatively concrete:
What does this work leave behind that can make further good easier to create?
Sometimes the answer will be nothing beyond the immediate outcome, and that may be entirely appropriate. Where the answer includes durable capability, however, it is worth recognising that as part of the value created.