ESG data has a credibility problem. Ask two vendors to rate the same company and you can get two very different answers — sometimes opposite ones. For an investor trying to integrate sustainability into a process, that disagreement is not a minor inconvenience; it undermines the entire exercise. This article walks through the design principles behind a materiality-first, transparency-oriented ESG scoring framework built to address exactly that problem — and the philosophy that separates it from ethical screening.
The barriers to ESG adoption
Before designing a score, it helps to be honest about why ESG integration is hard in practice:
- Data availability and quality. Coverage is uneven, disclosure is inconsistent, and gaps get filled with estimates of varying reliability.
- No consensus on financial materiality. Which ESG issues actually matter to a company’s economics? The answer differs by industry, and many frameworks don’t make that distinction.
- Vendor heterogeneity. Different providers use different inputs and inference methods, producing divergent — sometimes contradictory — conclusions about the same issuer.
- Opaque proprietary models. When a score is a black box, companies have no feedback loop to understand or improve it, and investors can’t interrogate it.
- Reporting fatigue. Companies face a sprawl of overlapping questionnaires, and no single vendor achieves complete coverage.
A useful score has to push against all of these at once.
The design goal
The objective is ESG data that is transparent, financially material, comparable across companies, and consistently reported — data reliable enough to act on. A secondary, deliberate goal is to give companies a roadmap to improve: if the methodology is transparent, an issuer can see why it scored where it did and what would move the number. Transparency turns the score from a verdict into a feedback loop.
“Value, not values”
The most important conceptual commitment is the distinction between value and values. This is a financial-materiality framework, not an ethical screen. The score asks a single question: do a company’s business operations and governance manage the ESG issues that are financially material to its industry?
That orientation produces results that surprise people expecting a morality filter:
- A so-called “sin” stock or a carbon-intensive business can still score well if it manages its material risks competently.
- A clean-technology company with poor operational or governance practices can score poorly.
The score measures management quality on what matters financially, not the virtue of the underlying business. Conflating the two is the most common source of confusion about ESG scoring.
Four design pillars
The framework rests on four principles:
- Materiality focus. Anchor to an industry-specific view of which issues are financially material — using a standard such as SASB rather than scoring every issue equally for every company.
- A transparent framework. Make the methodology legible so it can be understood, challenged, and acted upon.
- Strong stewardship and engagement. Pair the data with active engagement, creating the feedback loop that opaque models lack.
- Multiple data sources. Aggregate across several providers to reduce single-vendor bias and broaden coverage where any one source has gaps.
The output maps onto an intuitive percentile-based scale — from Laggard and Underperformer through Average to Outperformer and Leader — so that a score is comparable across the universe rather than interpretable only in isolation.
How the score is built
Methodologically, the score combines two components:
1. An ESG score, organized around SASB’s five sustainability dimensions and the general issues beneath them:
- Environment
- Social Capital
- Human Capital
- Business Model & Innovation
- Leadership & Governance
Each issue is weighted by its materiality to the specific industry, so the same issue can matter a great deal for one sector and barely at all for another.
2. A separate Corporate Governance score. Because materiality frameworks like SASB don’t fully cover traditional governance, a dedicated governance component captures board accountability, shareholder rights, board independence, and compensation alignment — the classic governance pillars that affect every company regardless of sector.
The data engineering tying these together is conceptually straightforward: vendor inputs are standardized to a common scale, averaged at the issue level according to materiality weights, normalized across companies so scores are comparable, and then combined into the final result.
The materiality backbone
It’s worth appreciating the granularity of the underlying materiality map. The SASB / SICS structure spans 77 industries across 11 sectors, organized into 5 sustainability dimensions, 26 general issues, and 200+ specific topics, with a materiality map that flags which issues are financially relevant for each industry. That backbone is what makes “materiality focus” an operational rule rather than a slogan — it tells you exactly which issues to weight, company by company.
Why it matters
The empirical case for materiality-first scoring is grounded in research showing that companies performing well on material ESG issues have tended to outperform, while performance on immaterial issues carries little signal — the line of work associated with Khan, Serafeim, and Yoon. The practical payoff of a transparent, materiality-anchored, multi-source score is threefold: it is comparable (a number means the same thing across the universe), it is actionable (companies can see the roadmap), and it is financially relevant (it measures management of risks that affect economics, not adherence to a particular set of values).
Educational commentary only. This article describes general principles and public references (the SASB materiality framework; Khan, Serafeim & Yoon on materiality). It deliberately omits any proprietary weighting formulas, vendor names and datapoint counts, client references, or named portfolio holdings. Nothing here is investment advice.