due-diligence-and-assessment

name	due-diligence-and-assessment
version	1.5.0
last_modified	2026-03-22
description	Use when evaluating data rooms, third-party diligence materials, management teams, PE sponsors, ESG risks, or sustainability-linked structures in credit underwriting. Prefer this skill for information-quality assessment, diligence scoping, qualitative risk translation, and identifying gaps that must be resolved before committing capital.
category	due-diligence
related_skills	["credit-memo-generator","credit-modeling-and-valuation","debt-structure-covenants","portfolio-investment-process","private-credit-middle-market"]
disambiguation	Prefer this skill when the task is evaluating information quality, reviewing data rooms, assessing management or sponsors, or identifying diligence gaps. For financial modeling and ratio analysis, use credit-modeling-and-valuation. For covenant and document interpretation, use debt-structure-covenants. For assembling findings into a memo deliverable, use credit-memo-generator.
triggers	["due diligence","data room","virtual data room","document request","information gap","CIM review","QoE","quality of earnings","third-party report","management assessment","sponsor assessment","governance","ESG risk","sustainability-linked loan","greenwashing"]

Due Diligence & Assessment

Due diligence is an exercise in prioritization under incomplete information. The goal is not to read every page in the room; it is to separate confirmed facts from advocacy, identify what still matters to the downside case, and translate unresolved issues into modeling adjustments, structural asks, or explicit memo flags.

Core Workflow

1. Define the diligence question: What must be true for the credit to work, and what evidence is needed to verify it?
2. Prioritize the highest-value materials: Start with the items that can change the downside case quickly, such as financial statements, QoE, major contracts, draft credit documents, management history, and key third-party reports.
3. Test source quality before conclusions: Identify who prepared each document, what was independently verified, what was excluded, and where incentives may bias the presentation.
4. Translate findings into credit consequences: Convert diligence observations into cash flow, liquidity, leverage, covenant, collateral, governance, or refinancing implications.
5. Separate facts from sponsor case: Distinguish in-place performance and documented evidence from pro forma claims, anticipated synergies, or unverified management assertions.
6. Document gaps explicitly: Record missing materials, unanswered questions, alternate sources, and what assumption range is required if the gap remains unresolved.
7. Hand off the right outputs: Pass validated diligence findings into modeling, covenant review, surveillance setup, and memo writing.

Reference Map

Read the most relevant reference for the question at hand rather than loading the full library.

Core Diligence Design

• references/due-diligence-workflow.md - Triage order, sequencing, and information-gap handling across deal types.
• references/document-request-lists.md - What to request by transaction type and where to focus first.
• references/third-party-report-assessment.md - How to read externally prepared diligence materials skeptically and translate them into credit implications.

Financial Quality and Information Reliability

• references/qoe-report-interpretation.md - QoE report review, adjustment discipline, and translation to model inputs.
• references/sell-side-bias-assessment.md - How to de-bias CIMs, management decks, and sponsor projections.
• references/red-flags-by-document.md - Fast scan of recurring warning signs by document type.

Management, Governance, and Sponsor Assessment

• references/management-key-person-assessment.md - Management evaluation, key person risk, succession planning, and management diligence checklist.
• references/pe-sponsor-assessment.md - Sponsor incentives, support capacity, behavioral patterns (dividend recaps, add-ons, LMEs, restructuring), and sponsor diligence checklist.
• references/governance-board-assessment.md - Board oversight, auditor quality, and creditor-relevant governance signals.
• references/conflict-of-interest-checklist.md - Pre-investment conflict of interest identification, MNPI protocols, cross-fund exposure, and sign-off requirements.

ESG and Sustainability-Linked Structures

• references/esg-credit-integration.md - ESG-to-credit-risk framework, practical diligence workflow, greenwashing checks, and ESG due diligence checklist.
• references/sll-structure-mechanics.md - Timeless SLL design principles, documentation logic, credit framing, and SLL evaluation checklist.

Output Deliverables

When asked to evaluate diligence materials, management, sponsors, governance, ESG issues, or SLL features, produce:

1. Source citations: Explicitly cite each material source, including filings, presentations, data-room items, and third-party reports.
   • When a stable direct URL exists, include it inline with the citation and keep any page, slide, filing-date, report-date, or access-date detail in the same citation.
2. Diligence status matrix: What was received, what was reviewed, what remains missing, and which items are critical versus nice-to-have.
3. Source-quality assessment: Who prepared each key document, what scope or caveats apply, and where the bias or blind spots are most likely to sit.
4. Management, sponsor, and governance view: Experience, alignment, board quality, key-person dependency, and evidence of supportive versus extractive behavior.
5. ESG or SLL assessment: Only where relevant, identify the material factors, transmission to credit risk, KPI/SPT quality, and any greenwashing concerns.
6. Risk translation: Show how diligence findings change cash flow assumptions, leverage tolerance, covenant asks, collateral view, liquidity analysis, or refinancing confidence.
7. Open items and required actions: The missing information or follow-up requests that could still change the recommendation.

Limitations

• Management assessment is inherently subjective; document the basis for judgments explicitly.
• Sponsor track record is informative but not dispositive; incentives can change with fund age, mark pressure, and deal context.
• ESG materiality evolves as regulation, litigation, and technology change; use the framework to organize risk, not to imply false precision.
• Data room completeness is itself a signal; missing documents may indicate intentional withholding rather than simple oversight.
• For broader framework limitations, consult skills/credit-memo-generator/references/analytical-limitations.md.

Data Quality

• Never silently bridge missing information with unsupported assumptions. If data is incomplete, use skills/credit-memo-generator/references/incomplete-data-guidance.md to disclose the gap and its analytical consequence.
• Keep reported performance, QoE-adjusted performance, and sponsor or management case assumptions distinct.
• When a conclusion depends on market convention or a changing external benchmark, use the relevant root reference rather than hard-coding the assumption into the diligence narrative.
• When standard analytical frameworks may be unreliable, consult skills/credit-memo-generator/references/analytical-limitations.md and state the limitation directly.

Examples

• examples/worked-management-sponsor-assessment-example.md: Management team and PE sponsor evaluation for a PE-backed diagnostics company, including key-person risk, sponsor behavior assessment, ESG materiality, and covenant handoff flags