Qualitative Analysis & UAD Adjustment Guidelines

Qualitative Analysis & UAD Adjustment Guidelines

Qualitative Valuation Techniques

While quantitative techniques calculate precise numerical dollar or percentage adjustments, qualitative analysis examines market evidence using relative comparisons, ordinal rankings, and logical grading. Appraisers rely on qualitative methods when:

• Market evidence is insufficient to extract reliable paired sales or depreciated cost data.
• Elements of comparison are inherently subjective or aesthetic, such as architectural style, appeal, interior flow, view orientation, or mature landscaping.
• Analyzing complex, historic, or luxury properties where every transaction is uniquely customized.

1. Relative Comparison Analysis

In relative comparison analysis, the appraiser evaluates each comparable sale against the subject property across major elements of comparison, assigning a relative rating to each feature:

• Superior (+): The comparable property's feature is more desirable or valuable than the subject's feature. In an adjustment grid, this would warrant a negative adjustment (CBS).
• Similar (=): The comparable property's feature is essentially equal in utility and appeal to the subject's feature, requiring no modification.
• Inferior (-): The comparable property's feature is less desirable or valuable than the subject's feature. In an adjustment grid, this would warrant a positive adjustment (CIA).

After evaluating individual elements, the appraiser assigns an overall qualitative ranking to the comparable sale relative to the subject property. This process brackets the subject property's market value between superior and inferior sales.

Practical Demonstration: Relative Comparison Matrix

Consider a subject property being evaluated against four comparable sales in a semi-rural submarket where dollar adjustments cannot be reliably isolated:

Analytical Deduction:

• Upper Value Boundary: Comp Sale 2 ($510,000) is overall Superior to the subject in location, size, condition, and outbuildings. Therefore, the subject's market value must be below $510,000.
• Lower Value Boundary: Comp Sale 1 ($465,000) and Comp Sale 4 ($440,000) are overall Inferior to the subject. Therefore, the subject's market value must be above $465,000.
• Central Value Indicator: Comp Sale 3 ($485,000) is overall Similar across almost all major physical and locational attributes. Comp Sale 3's sale price directly supports an indicated value for the subject property in the tight range of $480,000 to $490,000.

2. Ranking Analysis

In ranking analysis, the appraiser sorts an entire array of comparable transactions in ascending or descending order of sale price or a specific unit of comparison (e.g., price per square foot of GLA). The appraiser then systematically evaluates the physical, legal, and economic attributes of each property to determine where the subject naturally slots into the hierarchy. Ranking analysis reveals natural market tiers and pricing thresholds that prevent over-valuation or under-valuation.

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Interview Evidence and Qualitative Conclusions

The outline lists interviews with market participants alongside ranking and relative comparison. Interview brokers, buyers, tenants, or other knowledgeable participants about actual competitive alternatives, price negotiations, concessions, and buyer response to a feature. Distinguish direct transaction knowledge from an impression or promotional claim. Record who provided the information, their role, date, transaction context, and any relevant interest.

Suppose two brokers report that steep driveway access discourages buyers. Ask which transactions support that observation, whether price, condition, or location also differed, and whether accessible alternatives were available. An interview can support a qualitative inferior rating, but it does not create a universal 10% driveway discount. Corroborate important statements with sales, listings, or other relevant evidence.

The matrix's similar sale at $485,000 gives a central indicator only if the older sale date does not create an unaccounted time effect. The suggested $480,000–$490,000 range is a hypothetical reconciliation judgment, not a mathematical consequence of the plus and minus signs. Overall ranking requires explaining how conflicting features were weighed. Counting three plus signs and two minus signs is not a supported net rating.

Standardized UAD reporting is addressed in the construction and reporting chapters. A common Q or C rating does not prove that two properties need no adjustment: ratings group a range of characteristics. Conversely, a different rating does not prescribe a fixed dollar adjustment. Describe the actual difference and its market support.

Fannie Mae & Secondary Market Adjustment Guidelines

Historical Percentages and Current Policy

The frequently repeated 10% line-item, 15% net, and 25% gross figures are historical screening conventions. Fannie Mae has no specific net or gross adjustment limits. They are not current universal acceptance thresholds, and there is no basis here for claiming that a named automated system always triggers an audit at those percentages.

Analyze the relevance, reliability, and support for each adjustment. Low adjustments do not prove comparability, and a large well-supported adjustment can be more credible than an unsupported small one. Lender overlays can impose additional requirements; identify their source and applicability.

Mathematical Demonstration: Computing Line-Item, Net, and Gross Percentages

A comparable property sold for $400,000. The appraiser applies the following adjustments:

• Market Conditions: +$12,000 (+3.0%)
• Location: -$20,000 (-5.0%)
• Gross Living Area (GLA): +$32,000 (+8.0%)
• Garage: -$14,000 (-3.5%)
• Covered Patio: +$6,000 (+1.5%)

Evaluation:

• Line-Item Guideline: The largest individual adjustment is +$32,000 for GLA, which represents $8.0\%$ of the $400,000 sale price. Because $8.0\% \le 10\%$, that describes the arithmetic relative to the historical example; it is not a current Fannie Mae approval test.
• Net Adjustment Percentage: $\text{Net Sum} = (+12,000) + (-20,000) + (+32,000) + (-14,000) + (+6,000) = +\$16,000$ $\text{Net Adjustment } \% = \frac{\$16,000}{\$400,000} \times 100 = \mathbf{4.0\%}$
• Gross Adjustment Percentage: $\text{Gross Sum} = |+12,000| + |-20,000| + |+32,000| + |-14,000| + |+6,000| = \$84,000$ $\text{Gross Adjustment } \% = \frac{\$84,000}{\$400,000} \times 100 = \mathbf{21.0\%}$

Current Adjustment Analysis

Document the source, reasoning, and applicable comparison base for adjustments. Explain significant differences and why the selected sales best represent the competitive market. These responsibilities exist whether a percentage is above or below an old screening convention. An unexplained adjustment does not become credible merely because it is small.

The Bracketing Technique

Core Methodology

Bracketing is an essential appraisal practice requiring the appraiser to select comparable sales that encompass characteristics both superior and inferior to the subject property. By sandwiching the subject between superior and inferior sales, the appraiser proves that the subject's final valuation is firmly anchored within empirical market parameters.

Levels of Bracketing

1. Feature Bracketing: When suitable evidence exists, seek meaningful bracketing of important features. It is not a requirement to find a larger and smaller comparable for every characteristic:
   • Gross Living Area (GLA): A larger and a smaller sale can support interpolation when they are genuinely competitive.
   • Site Size: Larger and smaller sites can help test site contribution; availability and relevance govern selection.
   • Room / Bath Count: Comparables should bracket the bedroom and bathroom totals.
   • Actual / Effective Age: Older and newer sales should encompass the subject's age.
2. Value Bracketing: Review unadjusted and adjusted price ranges as diagnostic evidence; neither is an automatic boundary that overrides supported analysis.

Why Bracketing Protects Appraisal Credibility

Bracketing is a useful way to limit extrapolation, but it is not proof that an adjustment is correct and does not require a fixed minimum count of superior and inferior sales for every feature. If all good substitutes are smaller than the subject, explain the search and support any extrapolation with relevant evidence. Do not select a substantially less comparable sale solely to make the grid straddle the subject.

Similarly, adjusted or unadjusted prices need not mechanically bracket a predetermined value. Derive the conclusion from credible comparisons rather than targeting a number and arranging the sales around it. Explain unavailable bracketing and material limits of the evidence.