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Portfolio Risk & CECL CECL Accounting

How to document and defend CECL qualitative factors

Regan Camp
May 28, 2026
0 min read

Document and be able to defend qualitative factors under CECL 

Financial institutions need to be able to explain and show how they developed Q factors for their allowance for credit losses. Modifications to the CECL calculation should be reasonable, supportable, and audit-ready.

Key topics covered in this post: 

Documenting & defending Q factors: Don't play a guessing game.

If you’ve been tasked with completing a CECL calculation, you know that qualitative factors (Q factors) can be one of the most challenging parts of the process. They require a mix of judgment, data, and defensibility—without clear instructions from regulators on exactly how to apply them.

But documenting and defending Q factors doesn’t have to be a guessing game. With the right approach, you can ensure your adjustments are well supported, transparent, and easy to explain to auditors and examiners.

Emerging tools such as AskAbrigo, an AI-powered banking agent, can help institutions streamline the qualitative factor process by surfacing relevant historical loan-level data, internal policies, economic support, and prior analyses to support more consistent and defensible decisions.

Here's a brief walkthrough of the key steps to identifying, documenting, and defending CECL Q factors.

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What are CECL qualitative factors?

CECL qualitative factors are adjustments made to credit loss estimates to account for risks that historical loss data and quantitative allowance models alone don’t fully capture. These CECL adjustments could encompass economic shifts, changes in your loan portfolio, or even adjustments in underwriting standards. Essentially, Q factors help ensure your reserve levels reflect not just past performance but also what’s happening now and what’s expected in the future.

Why is documenting Q factors so important?

The CECL standard (ASC 326) gives financial institutions significant latitude in how they apply qualitative factors. But that latitude makes it even more critical to document and justify their approach.

A well-structured CECL qualitative framework for the allowance for credit losses (ACL) enhances transparency, consistency, and defensibility. Generative AI tools like AskAbrigo can also support documentation efforts by helping institutions quickly retrieve historical analyses, lending policies, economic commentary, and loan-level data used in prior reserve decisions. This can improve consistency across reporting periods while reducing the manual effort involved in assembling supporting documentation for auditors and examiners.

Proper documentation is key for:

  • Regulatory and audit expectations – Examiners and auditors will expect clear, well-supported explanations for your CECL adjustments.
  • Transparency and consistency – Having a structured approach that is documented ensures your CECL methodology holds up over time and can be easily reviewed.
  • Defensibility – If you ever need to justify your reserve levels for credit losses, strong documentation will be your best friend.

How to identify CECL Q factors

Taking the time to understand how to identify CECL qualitative factors makes it easier to document and defend them later on.

Step 1: Start with your historical loss data

Your financial institution’s historical loss experience forms the foundation of your CECL estimate. Before making adjustments, understand what your baseline numbers look like and what trends they show.

Step 2: Consider current and expected conditions

This is where Q factors come into play. Ask yourself:

  • Are economic conditions improving or deteriorating (GDP growth, unemployment, inflation)?
  • Have there been any major industry shifts that could impact our borrowers?
  • Have we changed our lending practices (new products, risk appetite)?

AI-assisted workflows may also help institutions monitor economic indicators, summarize relevant market developments, and identify potential portfolio impacts that could influence qualitative adjustments.

Step 3: Align Q factors with risk categories

To keep things structured, organize your qualitative factors into key categories:

  • Economic environment – National, regional, and local economic trends.
  • Industry conditions – Market shifts, regulatory changes, sector-specific risks.
  • Portfolio changes – Credit mix, loan concentrations, underwriting adjustments.
  • Borrower-specific factors – Changes in creditworthiness, collateral values.
  • Regulatory/legal factors – Compliance changes, litigation risks.

Step 4: Develop a structured framework for Q factor adjustments

One of the most effective ways to ensure consistency and defensibility in your qualitative factor adjustments is to implement a structured Q factor framework, such as Abrigo’s Qualitative Adjustment Scorecard. The scorecard includes identification of high-water economic scenarios to define appropriate risk brackets and enables tailoring to each allowance pool.

This approach provides a reliable mechanism for measuring and benchmarking qualitative factors across your institution. Some benefits of a structured CECL qualitative framework include:

  • Consistency – Ensures Q factor adjustments are applied systematically across reporting periods.
  • Measurability – Establishes standards and benchmarks for assessment.
  • Back-testing capability – Allows comparison of past predictions with actual performance.
  • Comparability – Aligns your methodology with peer institutions for greater credibility.

CECL Q factor documentation checklist


To make documenting Q factors easier, here's a simple checklist to follow:

1. Identify and define relevant Q factors.

2. Support each factor with data from reliable sources.

3. Document the assumptions behind each adjustment.

4. Clearly explain any changes from previous periods.

5. Ensure consistency and maintain internal approvals.

6. Keep records organized for audit and regulatory review.

Consider adding a similar checklist to any CECL procedures your financial institution develops.

Documenting qualitative factors under CECL

Once you’ve identified your Q factors, documentation is the next step. A good approach includes:

  • Leveraging AI-assisted documentation tools - Solutions such as AskAbrigo can help institutions compile supporting evidence, summarize relevant portfolio trends, and draft consistent qualitative factor narratives for internal review.
  • Describing each factor – Be specific about what’s changing and why it matters.
  • Backing it up with data – Use economic reports, industry benchmarks, and internal analyses.
  • Explaining your adjustments – Show how each factor translates into an impact on your CECL estimate.
  • Tracking changes over time – Document shifts in methodology and why they occurred.

Tips for backing up your Q factors

Qualitative factors remain a hot-button issue during audits and exams because they can lead to wide swings in the allowance for credit losses if left unchecked. Follow these recommendations to ensure your bank or credit union can defend qualitative factors and their role in the allowance calculation.

  • Be consistent – Apply your methodology the same way each period unless justified otherwise.
  • Use hard data where possible – While Q factors involve judgment, tie them to real metrics whenever you can.
  • Involve the right people – Your finance, credit, and risk teams should all have a say in setting qualitative factors.
  • Anticipate questions – Auditors and regulators will ask about your methodology. Be ready with clear, well-organized documentation.
  • Enhance judgment  – Use AI to enhance (not replace) expert judgment. Generative AI tools can improve efficiency by surfacing relevant data and documentation, but management oversight and governance remain essential to ensuring adjustments are reasonable and supportable.

How often should financial institutions update Q factors?

At a minimum, review and update your Q factors quarterly. However, if there are significant changes in economic conditions, regulatory requirements, or your loan portfolio, you may need to adjust them more frequently.

Taking the time to document your CECL Q factors properly will make life easier during audits. More importantly, it will also ensure that your reserve levels reflect the real risks in your portfolio.

Need help getting started? Contact Abrigo today to learn how CECL solutions and AskAbrigo’s generative AI capabilities can help strengthen your Q factor methodology, streamline documentation, improve reporting visibility, and enhance audit readiness. Abrigo’s AI advisory services can also help banks and credit unions with compliant AI governance and strategy.

This blog was written with the assistance of ChatGPT, an AI large language model, and was reviewed and revised by Abrigo's subject-matter experts.

Want help strengthening your Q factor methodology, enhancing defensibility, and ensuring audit readiness? Check out this whitepaper.

Read "CECL qualitative factors"

FAQs

What are qualitative factors for CECL?

Qualitative factors for CECL are adjustments made to expected credit loss estimates when historical loss data does not fully reflect current or future credit risk. These changes to the allowance for credit loss help financial institutions account for changes in economic conditions, portfolio composition, underwriting practices, and other risks that may affect expected losses.

Why are CECL qualitative factors important?

CECL qualitative factors help ensure that allowance for credit losses estimates reflect real-world conditions rather than relying solely on historical performance, and auditors and examiners emphasize understanding Q factors’ influence. Qualitative factors allow banks and credit unions to incorporate reasonable and supportable forecasts, emerging risks, and portfolio changes that may influence future credit losses.

How should financial institutions document CECL qualitative factors?

Financial institutions should document the rationale, supporting data, assumptions, and methodology behind each qualitative adjustment. Q factor documentation should clearly explain why a factor was applied, how it affected the allowance estimate, and any changes made from prior reporting periods to support audit and regulatory review.

What are common examples of CECL qualitative factors?

Common qualitative factors used for CECL include changes in economic conditions, unemployment trends, loan portfolio concentrations, underwriting standards, collateral values, delinquency levels, and borrower credit quality. Institutions may also consider staffing experience, regulatory developments, and local market conditions when evaluating credit risk.

How often should CECL qualitative factors be reviewed?

Financial institutions should review CECL qualitative factors at least quarterly as part of the allowance estimation process. More frequent Q factor reviews may be necessary when significant economic events, portfolio shifts, or regulatory developments create new risks that could affect expected credit losses.

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About the Author

Regan Camp

Vice President, Portfolio Risk Sales and Services
Abrigo
Regan Camp is Abrigo’s Vice President of Portfolio Risk Sales and Services, leading a team of subject matter experts who assist financial institutions in accurately interpreting and applying federal accounting guidance. He began his career in financial services as a commercial loan officer at a $2.1 billion institution. He then

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