CDI Applications

From Metric to Action

A discrimination index that exists only in research papers changes nothing. The CROWN Discrimination Index is designed to be used — by organisations measuring their own performance, by governments assessing legislative impact, by researchers building on standardised data, and by legal professionals presenting quantitative evidence in proceedings where subjective testimony alone has historically fallen short.

This page describes four primary applications, each illustrated with a concrete scenario showing how CDI data translates into institutional action.

1. Corporate ESG Benchmarking

The Application

Corporations operating in the European Union face growing expectations around diversity, equity, and inclusion reporting. The Corporate Sustainability Reporting Directive (CSRD), which entered into force in January 2024, requires large companies to disclose against the European Sustainability Reporting Standards (ESRS) — including workforce diversity and anti-discrimination measures. Yet without standardised metrics, most corporate DEI reporting remains qualitative: policy statements, training hours, demographic composition.

The CDI provides a quantitative instrument. A corporation can administer the CDI survey to its workforce, benchmark the results against industry and national norms, identify specific forms and contexts of discrimination, and track improvement over time with the same instrument.

Scenario

A multinational financial services firm headquartered in Paris learns that its CDI score — disaggregated by business unit — shows significantly elevated discrimination levels in its London trading floor and its Frankfurt operations centre, but lower levels in its Geneva and Amsterdam offices. The disaggregated CDI data identifies the primary drivers: grooming policy enforcement in London and hiring-stage filtering in Frankfurt.

The firm commissions a grooming policy audit for the London office (drawing on CROWN’s corporate programme) and implements structured interview protocols for Frankfurt hiring. Twelve months later, the CDI is re-administered. London’s grooming-related subscale has decreased measurably. Frankfurt’s hiring-stage discrimination is tracked against actual recruitment outcomes. The firm reports these metrics — with year-over-year comparison — in its CSRD-mandated sustainability disclosure.

The CDI has given the firm something it previously lacked: a way to measure discrimination, not merely assert that it opposes it.

What CDI Provides

• Baseline CDI score (composite and disaggregated by sub-index)
• Sector and geography benchmarking
• Year-over-year tracking with consistent methodology
• Identification of specific discrimination drivers for targeted intervention
• Quantitative data for ESG and CSRD reporting

2. Policy Impact Assessment

The Application

Legislators enact anti-discrimination law to reduce discrimination. But how do they know whether the law is working? In most jurisdictions, the answer is: they do not. Legislative impact is assessed through complaint volumes (which may reflect reporting willingness rather than discrimination levels), qualitative government reports, or not at all.

The CDI enables a rigorous before-and-after assessment. A government can commission CDI measurement in a jurisdiction before legislation takes effect, and repeat the measurement at defined intervals afterward. Because the CDI disaggregates by sector, context, and demographic group, the assessment can identify not just whether overall discrimination levels changed, but where the law is having effect and where it is not.

Scenario

The French Senate passes the Proposition de loi Serva, which prohibits discrimination based on hair texture, length, colour, and style. The Ministry of Justice commissions CROWN to administer the CDI nationally, establishing a baseline across workplace, education, and public services sectors.

Two years after the law takes effect, the CDI is re-administered. The data shows that workplace discrimination (measured by the severity-weighted sub-index) has decreased by 18 per cent nationally — but that education-sector discrimination has not changed. The disaggregated data identifies that school dress code enforcement is the primary driver. This finding prompts the Ministry of Education to issue specific guidance on hair-related dress code provisions, targeted at the sector where the law is not yet producing the intended effect.

Without the CDI, the government would have known only that it passed a law. With the CDI, it knows where the law is working and where it needs reinforcement.

What CDI Provides

• Pre-legislation baseline measurement
• Post-legislation impact measurement at defined intervals
• Sectoral disaggregation identifying where law is and is not effective
• Demographic disaggregation identifying which populations benefit most and least
• Evidence-based input for policy refinement

3. Academic Research

The Application

Cross-national comparison is the foundation of social science. Researchers studying discrimination need standardised instruments that produce comparable data across countries, languages, and cultural contexts. Without such instruments, each study exists in isolation — its findings valid only for the specific population and methodology used, not comparable with other studies.

The CDI is designed as a standardised research instrument. Its methodology includes measurement invariance testing across language groups and countries, ensuring that scores can be meaningfully compared. Its linked data architecture — connecting survey responses to hardware-verified diagnostic profiles from the CROWN Hair Commons — provides a level of measurement precision unavailable in survey-only studies.

Scenario

A research consortium comprising universities in Geneva, Paris, Berlin, and London undertakes a four-country study on appearance-based discrimination in education. Each team administers the CDI to a stratified sample of secondary school students and teachers. Because the CDI has been validated for cross-cultural comparison (configural, metric, and scalar invariance established across the four language groups), the teams can directly compare discrimination prevalence and severity across countries.

The study finds that hair-related discrimination in schools is highest in France and lowest in the UK — but that the UK shows higher severity weighting per incident. The finding contributes to the academic literature and is cited in the European Commission’s review of the Racial Equality Directive.

What CDI Provides

• Standardised instrument validated for cross-national comparison
• Measurement invariance across languages and cultural contexts
• Linked data architecture (survey + hardware-verified diagnostics)
• Disaggregation enabling multi-level analysis
• Peer-reviewed methodology enabling cumulative knowledge building

4. Legal Evidence

The Application

Discrimination cases often turn on the tension between subjective experience and the standard of proof required by courts and tribunals. An employee testifies that they were denied promotion because of their natural hair. The employer denies discrimination. Without quantitative evidence, the case rests on competing narratives.

CDI data can serve as expert evidence — not to prove that a specific individual was discriminated against (that remains a matter for the court to determine based on the specific facts), but to establish the statistical context. Population-level CDI data can demonstrate that individuals with specific hair characteristics experience systematically elevated rates of adverse professional outcomes, controlling for qualifications, experience, and performance.

Scenario

An employment tribunal in Geneva hears a case in which a woman of African heritage alleges that her natural hairstyle was cited as “unprofessional” in a performance review that denied her a promotion. The employer argues that the performance review assessed objective criteria and that hair was mentioned only in the context of the company’s general appearance standards.

CROWN is invited to provide expert evidence. CDI data for the Swiss financial sector shows that individuals with Afro-textured hair (as classified by their CROWN Hair DNA profiles) experience grooming-related professional consequences at 3.2 times the rate of individuals with straight hair, after controlling for role, seniority, and performance rating. The CDI’s hardware calibration means this finding is based on objective hair classification, not self-identified hair type.

The tribunal considers the CDI data alongside the specific facts of the case. The statistical evidence does not determine the outcome — that is the tribunal’s role — but it provides the contextual framework that transforms a “she said, they said” dispute into an evidence-informed proceeding.

What CDI Provides

• Population-level statistical evidence on discrimination patterns
• Disaggregated data by sector, geography, and hair characteristics
• Hardware-verified hair classification (not self-reported)
• Expert evidence meeting evidentiary standards
• Contextual framework for case-specific adjudication

Explore CDI for Your Organisation

The CDI pilot study is currently in progress, developed in consultation with the University of Geneva. As the validation pathway advances, CROWN will progressively make the CDI available for corporate, policy, academic, and legal applications.

If your organisation is interested in exploring how CDI data could serve your work — whether for ESG benchmarking, policy assessment, academic research, or legal evidence — we invite you to begin a conversation.

The CDI is a research instrument in active development. Current applications are available through CROWN’s research partnerships. For technical methodology, visit CDI Methodology. For the foundational research informing the CDI, see Publications.