Analysis · Impact Measurement

Measuring What Matters: A Comparative Analysis of Impact Measurement Frameworks for Digital Product Passport Compliance

As EU ESPR obligations approach, fashion brands and retailers face a new question: how do you measure whether a Digital Product Passport actually delivers human impact, not just regulatory compliance? This analysis compares four leading impact measurement frameworks and assesses where each sits in the DPP landscape.

The compliance gap behind the data gap

The EU Ecodesign for Sustainable Products Regulation (ESPR) will require fashion and textile brands to issue Digital Product Passports (DPPs) for products placed on the EU market, with phased obligations beginning as early as 2027. Under Article 25, retailers will bear verification obligations, requiring them to resolve, verify, and assess the DPP data attached to every product in their catalogue.

But compliance is not impact. A DPP can contain 637 data fields across 20 domains, covering materials, supply chain provenance, repairability, recyclability, carbon footprint, and chemical composition, without any of those fields translating into a clear answer to the question that foundations, policymakers, and increasingly capital markets are asking: how many people's lives are materially better because this product exists, and by how much?

This is the measurement gap that sits beneath the data infrastructure gap. Impact measurement frameworks have attempted to answer this question for decades, in philanthropy, in carbon markets, in ESG investing. Each approach offers something valuable. Each has significant limitations. And none was designed with the DPP context in mind.

This analysis compares four frameworks across eight dimensions, identifies their limitations in the fashion and ESPR context specifically, and critically assesses where a human-equivalent unit of impact, the Human Impact Equivalence framework (HIE™), may address those limitations, and where it should be considered complementary rather than substitutive.

Four frameworks, four logics

Social Return on Investment (SROI)

Developed from the Roberts Enterprise Development Fund model and codified by Social Value International, SROI quantifies the social, environmental, and economic value created by an intervention relative to the resources invested in it. Its core unit is a monetary ratio, typically expressed as "£X of social value per £1 invested", achieved by assigning financial proxies to non-financial outcomes. In the fashion context, SROI has been applied to supply chain labour programmes, circularity initiatives, and brand-led community interventions. Its limitation is that it converts human outcomes into financial terms, which embeds valuation assumptions that vary significantly across geographies and sectors.

Creating Shared Value (CSV)

Introduced by Porter and Kramer in 2011, CSV reframes corporate competitive strategy around the identification of social needs as business opportunities. It carries no standardised unit of measurement, outputs are qualitative narratives, strategic case studies, and opportunity maps. In fashion, CSV logic underpins the positioning of sustainability programmes as commercial differentiators: circular business models, supplier development, and community investment framed as competitive advantage. CSV is useful for strategic direction but generates no auditable impact number and provides no basis for cross-brand or cross-supply chain comparison, a significant limitation in the DPP context where comparability is a core regulatory objective.

Impact-Weighted Accounting (IWA)

Developed by George Serafeim, Robert Kaplan, and colleagues at Harvard Business School, IWA seeks to integrate monetised social and environmental impacts directly into corporate financial statements, adjusting reported profit and loss to reflect the full costs and benefits of a firm's operations, products, and employment. In fashion, this would mean restating a brand's financial performance to account for the human cost of water pollution, the value of living wage practices, or the avoided impact of take-back programmes. IWA is the most capital-markets-ready framework in this analysis, but its dependence on monetisation creates the same proxy sensitivity problems as SROI, at firm level.

Human Impact Equivalence (HIE™)

HIE™ translates environmental and social impacts into human-equivalent units, specifically "impacted lives", using a structured two-layer methodology: a Primary Intervention Rule with Proportional Attribution that allocates impact across causal actors, and a Three Degree Rule with Causal Integrity Test that bounds the causal chain to prevent overclaiming. A Temporal Discount Rate framework accounts for impact attenuation over time. Outputs are dual: an HIE™ Index (a scalar summary) and an HIE™ Profile (a disaggregated breakdown by impact domain). In the DPP context, HIE™ is designed to function as an interpretation layer, converting the compliance data held in a product passport into a human-legible impact score that is meaningful to retailers, policymakers, and consumers alike.

Framework comparison across eight dimensions

Dimension	SROI	CSV	IWA	HIE™
Unit of analysis	Monetary ratio (£ social value / £ invested)	Qualitative / strategic, no standard unit	Monetary (£/$), adjusted P&L / balance sheet	Human-equivalent, impacted lives / person-years
Level of application	Project / programme [Meso]	Firm / business model [Macro-strategic]	Firm / product [Firm-level]	Project to system [Multi-scalar] High
Cross-sector comparability	Limited, proxies vary by sector Low	Not applicable, no shared unit None	Theoretically possible; constrained by valuation differences in practice Moderate	Designed for cross-sector use; human unit is sector-neutral High, by design
Sensitivity to assumptions	High, financial proxy selection, attribution, deadweight, displacement High risk	Low formal sensitivity (qualitative); high strategic subjectivity Moderate	High, dose-response curves, monetisation of health and environment outcomes High risk	Moderate, attribution rules, Three Degree threshold, Temporal Discount Rate; transparent by design Moderate, structural
Decision-usefulness for capital allocation	Moderate, useful for programme comparison within sector Moderate	Low, directional only; not numerically decision-relevant Low	High for investors, directly comparable to financial returns High	Moderate to high, interpretable by non-specialists; lacks direct financial comparability Moderate-High
Suitability for ESPR, SDG and carbon market reporting	Moderate, widely used in public commissioning but not standardised Moderate	Low, strategic narrative is not regulatory-grade Low	Emerging, ISSB and GRI alignment under development Emerging	High potential, unit legibility suits policy and regulatory audiences; requires formal validation High potential
Standardisation and auditability	Moderate, Social Value International principles exist but application is inconsistent Moderate	Low, no auditable standard Low	Developing, Harvard IWA framework is most rigorous currently available Developing	Early stage, framework documented; third-party validation in progress Early stage
Accessibility to non-specialists	Low, ratio output requires financial literacy Low	High, narrative format broadly accessible High	Low, embedded in financial accounting logic Low	High, 'lives impacted' is intuitively meaningful across stakeholder audiences High

Where existing frameworks fall short in the DPP context

The proxy problem in SROI

SROI's most fundamental limitation in the fashion and ESPR context is its dependence on financial proxies, values assigned to non-market outcomes such as a unit of reduced water stress, a worker's year of improved conditions, or a kilogram of diverted textile waste. These proxies are neither universal nor stable. Different valuation sources, HACT, Social Value Bank, government Green Book tables, yield materially different results for identical outcomes, making SROI ratios non-comparable across brands, geographies, or supply chain tiers. In a regulatory environment where DPP data must be standardised and verifiable, a measurement layer that is itself non-standardised creates a significant assurance problem.

CSV's strategic ceiling

CSV offers fashion brands a useful lens for identifying where sustainability investment and commercial opportunity intersect, circular repair services, supplier capability development, material innovation. But for ESPR compliance, CSV's absence of a quantified unit is disqualifying as a standalone methodology. A retailer seeking to verify and score the DPPs of thousands of brands across their catalogue cannot do so on the basis of qualitative strategic narratives. CSV describes intent; DPP compliance requires evidence.

IWA's monetisation bias

IWA's ambition, to make social and environmental impact legible to capital markets, is aligned with where sustainable finance regulation is heading. Its limitation in the fashion context is that monetising outcomes such as the human impact of a living wage in Bangladesh, or the long-term health burden of microplastic shedding, requires country-specific, time-specific valuations that are contested and revision-prone. IWA also embeds a distributional bias that is particularly acute in global fashion supply chains: under willingness-to-pay frameworks, a life-year of improved conditions for a garment worker in a low-income country is assigned a lower monetary value than the equivalent for a European consumer, because market incomes differ. This is ethically and politically untenable as a basis for DPP impact scoring.

The shared gap: no human-centred common unit

Across all three frameworks, the shared limitation relevant to ESPR is the absence of a human-centred, legible common unit that works across sectors, geographies, and supply chain tiers without requiring monetisation. DPP data spans materials science, water use, carbon accounting, labour standards, circularity, and chemical safety. No existing monetary proxy framework covers all of these domains on a comparable basis. The EU's ambition for DPPs is precisely cross-product, cross-brand comparability, a goal that requires a unit of impact that is as stable and universal as the passport data standard itself.

Where HIE™ addresses the gap, and where it does not

Strengths in the DPP context

HIE™'s most significant potential contribution to the DPP ecosystem is the provision of a non-monetary, human-centred common unit, impacted lives or person-years, that is sector-neutral by construction. Whether the impact domain is water scarcity, carbon sequestration, living wage compliance, textile circularity, or chemical hazard reduction, the unit of output remains the same. This enables comparability across a retailer's full product catalogue, across brands, product categories, materials, and sourcing geographies, that monetary frameworks can only approximate through proxy harmonisation.

The framework's explicit attribution architecture is a second meaningful strength. The Three Degree Rule with Causal Integrity Test and the Primary Intervention Rule are structural responses to the attribution problem that SROI handles through analyst discretion. In the DPP context, where a single garment may involve ten or more supply chain actors, each contributing to the overall impact profile, a rule-based attribution mechanism is more robust than a proxy-based one.

HIE™ also avoids the distributional bias embedded in willingness-to-pay monetisation. A person-year of impact for a garment worker in Bangladesh is not assigned a lower value than one for a consumer in Paris. This is not merely an ethical position; it is a regulatory one. ESPR's underlying policy objective is the protection of people and planet across the full product lifecycle, not just the point of sale.

Where HIE™ should be complementary, not substitutive

HIE™ does not replace IWA for capital markets purposes. Investors allocating between an impact bond and an equity position require a common financial denominator; HIE™'s human-equivalent unit does not satisfy that need. The two frameworks are best understood as operating at different layers: IWA translates impact into the financial ledger; HIE™ translates it into human terms. In a complete impact reporting stack, both have a role.

HIE™'s current limitations must also be stated candidly. The framework lacks independent third-party validation and an established assurance standard, both of which are prerequisites for regulatory acceptance under ESPR's data quality and verification requirements. The Temporal Discount Rate introduces assumptions that require empirical grounding across diverse intervention types. The Three Degree boundary is a principled structural choice, not an empirically derived natural law, and its calibration is subject to ongoing refinement. The HIE™ Index, as a scalar output, risks the reductionism that has weakened SROI's credibility in some contexts, which is precisely why the HIE™ Profile (the disaggregated dual-output) is essential for maintaining interpretive richness in DPP applications.

A measurement layer for the DPP era

The Digital Product Passport is a data infrastructure. ESPR is a compliance framework. Neither, on its own, answers the question that regulators, retailers, and civil society are beginning to ask: does this passport represent a product that makes the world, and the people in it, measurably better?

Impact measurement frameworks have been trying to answer that question for decades. SROI, CSV, and IWA each offer partial answers, shaped by the audiences and contexts they were designed for. None was built for the cross-sector, cross-geography, multi-actor complexity of global fashion supply chains operating under a new generation of product regulation.

HIE™ occupies a differentiated position in this landscape. Its human-unit output addresses a genuine gap, cross-sector comparability without monetisation, in a unit that is accessible to the full range of DPP stakeholders from policy to retail to consumer. Its near-term development priorities, empirical validation, third-party assurance protocol development, and piloted application across multiple DPP data domains, will determine how quickly it can move from a principled framework to a regulatory-grade tool.

What is clear is that the DPP era will require not just better data, but better interpretation of that data. A passport that cannot be read for human impact is a compliance document, not a sustainability instrument.