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Evidence-based
Scores and views are grounded in disclosed public-company information and available source evidence.
Governance Intelligence Methodology Hub
From public-company disclosures to structured intelligence.
The Governance Intelligence Methodology Hub explains how ERDI, ProxyPrism, and RDI convert public-company evidence and disclosures into structured governance quality, resilience disclosure, and risk disclosure intelligence.
The hub is designed to help users understand Governance Intelligence analytical logic, module-specific scoring categories, evidence structure, interpretation limits, and the relationship between module outputs, peer context, and decision-useful review.
Evidence-backed scoring
Comparable frameworks
Peer context
Disclosure gap analysis
Methodology principles
Designed for transparent, decision-useful analysis.
Governance Intelligence does not replace professional judgment. It organizes public-company evidence and disclosures into structured analytical frameworks so users can evaluate relevant signals, compare companies, and identify areas for deeper diligence.
02
Comparable
Product dimensions are designed to support company, peer, sector, and market-level comparison.
03
Decision-useful
Analytics emphasize specificity, evidence coverage, governance relevance, and diligence usefulness.
04
Interpretable
Results are intended to support review, not to serve as absolute conclusions or investment recommendations.
Research workflow
From public filings to structured intelligence.
01
Collect evidence
Gather relevant source disclosures from proxy statements, annual reports, risk factors, governance materials, and related public filings.
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02
Map dimensions
Classify evidence into module-specific dimensions such as resilience domains, governance pillars, and risk disclosure categories.
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03
Evaluate quality
Assess disclosure specificity, relevance, source evidence, standards alignment, coverage, and decision-usefulness.
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Compare results
Present results through company profiles, peer views, benchmarks, gap indicators, historical trends, and module-level analytics.
Analytical methodologies
Three analytical frameworks. One Governance Intelligence platform.
Each Governance Intelligence module applies a distinct methodology while sharing a common commitment to structured evidence, comparability, transparency, and decision-useful interpretation.
ERDI
Enterprise Resilience Disclosure Index
ERDI evaluates the quality, specificity, and evidence coverage of public-company enterprise resilience disclosure, including domain-level disclosure patterns, peer context, disclosure gaps, and historical trends.
- Resilience domains and evidence coverage
- Disclosure specificity and support evidence
- Peer benchmarks and historical trends
- Interpretation limits and diligence use
ProxyPrism
Governance Quality Analytics
ProxyPrism organizes proxy statement data into structured governance intelligence across board structure, shareholder rights, executive compensation, audit and risk oversight, and transparency.
- Board structure and independence signals
- Shareholder rights and governance provisions
- Executive compensation and oversight indicators
- Transparency, audit, and risk governance context
RDI
Risk Disclosure Index
RDI evaluates risk disclosure quality, specificity, standards alignment, source evidence, diligence usefulness, disclosure gaps, and peer comparison.
- Risk specificity and source evidence
- Standards alignment and disclosure usefulness
- Diligence questions and gap indicators
- Peer and sector comparison context
Interpretation guide
How to interpret Governance Intelligence outputs.
| Output | What it helps indicate | How to use it |
|---|---|---|
| Scores | Relative strength, specificity, coverage, or decision-usefulness within the applicable analytical framework. | Use as a starting point for comparison, screening, and deeper review. |
| Peer benchmarks | How a company compares with relevant peers, sectors, indexes, or selected comparison groups. | Use to identify outliers, relative strengths, and areas requiring further diligence. |
| Disclosure gaps | Areas where disclosure may be thin, generic, incomplete, or less specific than comparable companies. | Use to focus review questions, advisory work, reporting improvement, or engagement preparation. |
| Evidence coverage | The extent to which disclosed statements are supported by concrete, specific, or decision-useful evidence. | Use to distinguish stronger evidence-backed disclosure from broad or boilerplate language. |
| Historical trends | Movement in score, disclosure coverage, or evidence quality across available years. | Use to understand whether disclosure quality is improving, declining, or remaining stable. |
Interpretation note: Governance Intelligence analytics are designed to support screening,
benchmarking, diligence, disclosure review, and advisory workflows. They should not be interpreted as
definitive conclusions about company quality, future performance, legal or regulatory compliance, internal controls,
operational resilience, investment suitability, or voting recommendations.
What Governance Intelligence does and does not do
Structured intelligence, not absolute judgment.
What it does
Supports clearer analysis
- Organizes public-company evidence and disclosures into structured module-specific frameworks.
- Helps compare companies, peers, sectors, and disclosure practices.
- Highlights evidence coverage, disclosure gaps, and areas for deeper review.
- Provides a consistent starting point for governance, risk, resilience, and disclosure analysis.
What it does not do
Does not replace judgment
- Does not guarantee future performance, operational resilience, or risk outcomes.
- Does not determine legal, regulatory, accounting, or investment conclusions.
- Does not measure private internal practices unless reflected in available public disclosures.
- Does not eliminate the need for expert review, context, and professional judgment.
Use cases
Built for users who need to understand the logic behind the analytics.
Investors & Analysts
Understand how product scores, peer benchmarks, and disclosure gaps are organized before using them in diligence.
Advisors & Consultants
Use methodology context to explain findings, compare clients with peers, and support diagnostics or reporting.
Governance, Risk & IR Teams
Review how external-facing disclosures are classified, compared, and interpreted within Governance Intelligence analytics.
Researchers & Policy Analysts
Understand the framework behind company-level and peer-level governance, risk, resilience, and disclosure signals.
Next step
Use the Methodology Hub to interpret Governance Intelligence.
Review the ERDI, ProxyPrism, and RDI frameworks, then explore company profiles and premium analytics to compare governance quality, risk disclosure, enterprise resilience disclosure, evidence coverage, peer context, and disclosure gaps.