Contribution
Also written Contribution (IMP dimension)
One of the five Impact Management Project dimensions: how an enterprise's reported effect compares to what would likely have happened anyway, measured through its depth and duration data categories.
In plain language
A fund can report "4,200 farmers gained access to cold storage" and still be overstating its own achievement — if a government subsidy would have given a quarter of them the same access anyway, within a few years, regardless of the fund's investment. Contribution is the Impact Management Project dimension built specifically to catch this.
The workbook's own definition: "How does the effect compare to what would likely occur anyway?" It is the counterfactual question — not "what changed", but "what changed because of this enterprise specifically, over and above what the world would have delivered without it."
How it works
Contribution is one of five IMP dimensions — What, Who, How Much, Contribution and Risk — but it plays a distinct role: while the other dimensions describe the size and shape of an outcome, Contribution asks how much of that outcome to actually credit to the enterprise.
The workbook gives Contribution two data categories, both framed against a counterfactual:
| Data category | What it captures |
|---|---|
| Depth | An enterprise's contribution to the depth of an outcome, by factoring in the estimated degree of change that would have happened otherwise |
| Duration | An enterprise's contribution to the duration of an outcome, by factoring in the estimated duration the outcome would have otherwise endured |
Both categories share the same structure: take the outcome as reported, then subtract out the portion that a credible alternative scenario — a government scheme, another funder, a natural trend — would have delivered anyway. What remains is the enterprise's genuine contribution.
Contribution sits within the wider IRIS+ system (the GIIN's impact accounting framework, which uses IMP's five dimensions to give impact investors a shared vocabulary), and it is explicitly one of the 10 named risk factors under the separate Risk dimension too — "contribution risk" is the risk that the reported contribution estimate itself turns out to be wrong.
A worked example
Return to the Niwas Project case study: Swagruha repaired the homes of 1,265 families in Mumbai's slums, and separately identified beneficiaries eligible for Pradhan Mantri Awas Yojana (PMAY) subsidy — with 23% of Niwas beneficiaries going on to receive a PMAY government subsidy toward their housing.
Applying the Contribution lens to this project:
| Question | What Contribution asks |
|---|---|
| Depth | Of the 75% of beneficiaries who ended up with improved toilet facilities, how many would have achieved that anyway — say, through the 23% who separately qualified for PMAY — versus how many owe it specifically to Swagruha's Niwas repairs? |
| Duration | Would the improved housing conditions have arrived on the same timeline without Niwas, or did Niwas's intervention bring the improvement years earlier than it would otherwise have occurred? |
If, say, a third of the 23% of PMAY-linked beneficiaries would eventually have secured government-subsidised repairs within two years regardless of Swagruha's involvement, Swagruha's genuine contribution to those specific households' depth and duration of improvement is smaller than the headline "1,265 families helped" figure suggests — even though the scale (how many families, under the separate How Much dimension) is unchanged. Contribution is what stops that overlap being silently claimed twice, once by Swagruha and once by the government scheme it helped connect beneficiaries to.
Why NISM asks about it
Chapter 6 (Social Impact Assessment Frameworks, Techniques and Standards), section 6.2.2, Table 6.3, defines Contribution as one of the five IMP dimensions with its two data categories (depth and duration), in the same table that defines What, Who, How Much and Risk. Expect a question asking which IMP dimension answers "what would likely have occurred anyway" (Contribution, not Risk — the standard distractor), and a question on Contribution's two data categories.
Common exam traps
- "What would likely have occurred anyway" is Contribution, not Risk. This exact confusion is the most tested trap on this pair of dimensions — Risk is about whether the reported outcome might be wrong; Contribution is about how much of a correctly reported outcome to actually credit to the enterprise.
- Contribution has exactly two data categories: Depth and Duration — not Scale. Scale belongs to the How Much dimension, not Contribution, even though all three (Scale, Depth, Duration) sound similar.
- Contribution is a counterfactual comparison, not a measurement of the outcome itself. A large, well-measured outcome can still have a small Contribution score if much of it would have happened anyway.
- "Contribution risk" (under the Risk dimension) is a different thing from the Contribution dimension itself — contribution risk is the uncertainty in the contribution estimate; the Contribution dimension is the estimate.
- For the fuller five-dimension framework, IRIS+ and the other four dimensions, see Impact Management Project — this page focuses specifically on Contribution.
Where this is taught
Free preparation for NISM Series XXIIIRelated terms
- Pradhan Mantri Awas YojanaThe Government of India's housing subsidy scheme — referenced in the workbook's Niwas Project case study, where a social enterprise helped identify slum-dwelling beneficiaries eligible for it.
- Impact Management ProjectThe framework, used by the GIIN's IRIS+ system, that describes impact in five dimensions — What, Who, How Much, Contribution and Risk — with defined data categories for each.
- Social Impact AssessmentA systematic evaluation of the social, ethical, cultural and environmental consequences of a project or organisation — positive and negative, intended and unintended — taking an "outside in" view.
- External KPIsThe small subset of a project's KPIs — chosen from a larger internal set — that outcome funders and risk investors use for third-party assessment of a listed project.
- BaselineThe starting-point measurement of a project or programme, taken before an intervention begins, used to establish what actually changed as a result of it.
- Constraint on impactAn external factor — such as a market or demand-side mismatch — that limits how much impact a project can achieve, distinct from a challenge in conducting the social impact assessment itself.
- SAS 1100The thematic standard for slum development, affordable housing and resilient cities, illustrated by Swagruha's Niwas project, which repaired 1,265 slum homes in Mumbai.
- InterdependenciesThe problem that one intervention's outcomes depend on other interventions or on external factors, so the change observed cannot be credited to the project alone.
- Indirect beneficiariesPeople who gain from a project without being reached by it directly — family members, neighbouring villages and the wider community — counted separately from direct beneficiaries.
- Principle of IndemnityThe principle that insurance should restore the insured to the financial position they were in before the loss — no better — so that insurance can never be a source of profit.
- Indemnity insuranceA policy that pays the actual loss the insured is shown to have suffered, so a claim cannot be settled until that loss has been determined — the opposite structure to a defined benefit policy.
- Liability insuranceIndemnity against damages payable under law for personal injury to third parties or damage to their property, whether the liability arises from negligence at common law or on a no-fault basis under statute.