Table of Contents
Chapter 6: Social Impact Assessment Frameworks, Techniques and Standards
6.1 Global Reporting Standards: GRI, IRIS+, and IMP (Impact Management Project) 5 Dimensions
The Evolution of Global Impact Measurement Architecture
As international impact investing expanded, fragmented reporting frameworks made it difficult for investors to compare social outcomes across non-profit enterprises and geographic jurisdictions. Over the past two decades, three globally recognized frameworks emerged as foundational pillars:
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| GLOBAL IMPACT MEASUREMENT & REPORTING FRAMEWORKS |
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| Framework | Governing Body / Origin | Core Focus & Application |
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| Global Reporting | Global Sustainability Standards | Comprehensive sustainability reporting |
| Initiative (GRI) | Board (GSSB) - Amsterdam | on ESG impacts for corporate transparency |
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| IRIS+ System | Global Impact Investing Network | Standardized catalog of performance |
| | (GIIN) | metrics for impact funds and enterprises |
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| Impact Management | International consensus of 2,000+ | Universal normative framework assessing |
| Project (IMP) | global enterprises and investors | impact across 5 fundamental dimensions |
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The Impact Management Project (IMP): The 5 Dimensions of Impact
The IMP established a universal consensus defining the five essential questions that must be answered to understand, measure, and manage any social or environmental impact:
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| THE 5 DIMENSIONS OF IMPACT (IMP FRAMEWORK) |
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| Dimension | Core Question Answered | Key Data Indicators Evaluated |
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| 1. WHAT | What outcome occurs in the period?| - Specific outcome being experienced |
| | Is it positive or negative? | - Threshold of importance to stakeholder |
| | How important is it to people? | - Alignment with UN SDGs |
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| 2. WHO | Who experiences the outcome? | - Demographic identity of beneficiaries |
| | How underserved are the | - Baseline deprivation level of community |
| | stakeholders in relation to it? | - Geographic vulnerability context |
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| 3. HOW MUCH | How much of the outcome occurs? | - Scale: Number of individuals reached |
| | (Scale, Depth, and Duration) | - Depth: Degree of change experienced |
| | | - Duration: How long the change endures |
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| 4. CONTRIBUTION | Would this change have happened | - Assessment of the Counterfactual |
| | anyway? (Additionality) | - Estimated Deadweight and Displacement |
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| 5. RISK | What is the risk that impact will | - Execution risk, drop-off risk, |
| | be different than expected? | unexpected negative externalities risk |
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IRIS+ Catalog of Metrics (GIIN)
Managed by the Global Impact Investing Network, IRIS+ is the generally accepted system for measuring, managing, and optimizing impact:
- Provides standardized quantitative indicators across thematic areas (e.g., OI4060: Number of individuals with improved access to clean drinking water; PI2822: Client poverty reduction rate).
- Directly maps operational indicators to specific UN Sustainable Development Goals (SDGs), enabling Indian NPOs to benchmark their performance against international development portfolios.
6.2 Social Return on Investment (SROI) Methodology and Monetary Valuation of Social Outcomes
Conceptual Foundation of SROI
Social Return on Investment (SROI) is an internationally recognized, principles-based framework for measuring and accounting for the broader value created by a social intervention—encompassing social, economic, and environmental outcomes. It assigns monetary values to non-market social changes, answering the question:
"For every Rupee invested in this social program, how many Rupees worth of social value are created for society?"
$$\text{SROI Ratio} = \frac{\text{Net Present Value of Social Outcomes}}{\text{Total Financial Value of Inputs Invested}} = \frac{\sum_{t=1}^n \frac{\text{Net Social Benefit}_t}{(1 + r)^t}}{\text{Total Investment}}$$
Example: An SROI ratio of 4.5:1 means that every ₹1 invested generated ₹4.50 in verified socio-economic value!
The 6-Stage SROI Analytical Process
Conducting an SROI study involves a rigorous six-stage process:
Stage 1: Establish Scope & Stakeholders ---> Define boundaries, identify affected groups
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Stage 2: Map Outcomes ---> Develop Impact Map / Theory of Change
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Stage 3: Evidence & Value Outcomes ---> Collect field data; apply Financial Proxies
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Stage 4: Establish Impact & Deductions ---> Deduct Deadweight, Attribution, Drop-off
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Stage 5: Calculate the SROI Ratio ---> Discount future cash flows; compute NPV
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Stage 6: Report, Use & Embed ---> Publish audit trail, sensitivity analysis
Monetization Techniques and Financial Proxies
Because social outcomes (e.g., improved self-esteem, reduced domestic violence, restored biodiversity) do not trade on public financial exchanges, economists apply Financial Proxies to quantify their economic worth:
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| FINANCIAL PROXY VALUATION METHODOLOGIES |
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| Valuation Method | Economic Mechanism | Practical Development Example |
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| Cost Savings | Expenditure avoided by the State | Reduced hospital emergency visits due to |
| (Avoided Costs) | or household due to intervention | clean drinking water RO plant installation|
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| Increased Earning | Additional lifetime income gained | Incremental wage premium earned by youth |
| Potential | through new vocational skills | certified under a vocational skilling NPO |
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| Contingent | Stated preference: How much people| Willingness of villagers to pay monthly |
| Valuation | are willing to pay (WTP) for good | tariffs to maintain solar micro-grid power|
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| Hedonic Pricing | Revealed market value differences | Higher market value of agricultural land |
| | attributable to social asset | adjacent to newly constructed check-dams |
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Critical Adjustments: Netting Out Biases in SROI
To prevent exaggerated claims, SROI strictly mandates four mathematical deductions:
- Deadweight: What percentage of the outcome would have happened anyway? $$\text{Outcome after Deadweight} = \text{Gross Outcome} \times (1 - \text{Deadweight %})$$
- Displacement: Did the intervention simply shift the problem to another location or population? (e.g., reducing crime in Block A by pushing criminals into neighboring Block B).
- Attribution: What percentage of the outcome was caused by other concurrent programs or government subsidies?
- Drop-Off: In multi-year evaluations, the rate at which the intervention's positive benefits erode over subsequent years.
6.3 Impact Evaluation Methodologies: Experimental (RCTs), Quasi-Experimental, and Mixed Methods
The Evaluation Methodology Spectrum
Selecting an appropriate research design is the most critical scientific choice in Social Impact Assessment. The assessor must balance methodological rigor against practical field constraints, budget availability, and ethical considerations:
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| IMPACT EVALUATION METHODOLOGY SPECTRUM |
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| Methodology Class | Core Experimental Technique | Analytical Strengths & Trade-Offs |
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| Experimental | Randomized Controlled Trials | - Gold standard for causal attribution |
| (True Experiment) | (RCTs) with random assignment | - High financial cost; ethical concerns |
| | into Treatment vs. Control groups | over withholding aid to control groups |
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| Quasi-Experimental| Difference-in-Differences (DiD), | - Strong counterfactual without randomized|
| | Propensity Score Matching (PSM), | denial of service |
| | Regression Discontinuity (RDD) | - Susceptible to unobserved hidden bias |
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| Non-Experimental | Pre-test vs. Post-test only, | - Low cost, rapid execution |
| & Observational | Cross-sectional surveys | - Cannot isolate counterfactual or prove |
| | | strict causal attribution |
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| Mixed Methods | Triangulating quantitative data | - Combines statistical scale with deep |
| | with qualitative participatory | human contextual nuance; highly favored |
| | research (FGDs, KIIs, Most Sign.) | under Indian Social Audit Standards |
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1. Randomized Controlled Trials (RCTs)
Popularized in development economics by Nobel Laureates Abhijit Banerjee, Esther Duflo, and Michael Kremer:
- Eligible beneficiary units (individuals, schools, villages) are randomly assigned into a Treatment Group (receives intervention) and a Control Group (does not receive intervention).
- Randomization ensures both groups share identical observable and unobservable baseline traits.
- The average treatment effect is simply: $$\text{Treatment Effect} = E(Y_1 \mid T=1) - E(Y_0 \mid T=0)$$
- Eliminates selection bias completely.
2. Difference-in-Differences (DiD) Design
Where randomization is politically or ethically infeasible, assessors compare the trajectory of a treatment community against a non-randomized, demographically similar comparison community:
Outcome Level
^ * Post-Treatment (Actual Y_T2)
| /
| Counterfactual Trajectory - - - - * (Expected Y_T2 without program)
| / /
| / /
| * Pre-Treatment (Y_T1) / /
| / / * Post-Comparison (Y_C2)
| / / /
| * Pre-Comparison (Y_C1) / / /
| / / /
+--------------------------+-----------+---------------------> Time
Baseline Endline
$$\text{DiD Estimator} = (Y_{T2} - Y_{T1}) - (Y_{C2} - Y_{C1})$$ Subtracting the baseline-to-endline drift of the comparison group ($Y_{C2} - Y_{C1}$) controls for broader macroeconomic trends, leaving the net attributable impact of the intervention.
3. Mixed Methods and Qualitative Research Tools
Under the Social Audit Standards (SAS), assessors combine quantitative statistical surveys with qualitative deep-dives:
- Focus Group Discussions (FGDs): Facilitated group dialogues (6–10 participants) revealing community power dynamics and cultural norms.
- Key Informant Interviews (KIIs): Semi-structured interviews with village leaders, doctors, school principals, and panchayat representatives.
- Most Significant Change (MSC) Technique: Participatory storytelling technique collecting qualitative narratives directly from beneficiaries to discover unexpected secondary impacts.