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Microlesson · 5-min read

Applying SAP as Substantive Tests — REDS Framework

## Using Analytical Procedures as Substantive Procedures — REDS Framework

When the auditor decides to use AP as substantive procedures, four considerations apply (mnemonic: REDS):

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### R — Evaluate Reliability of Data (NSC²)

The auditor must assess the reliability of the data used to build the expectation:

Sub-factorKey Question
Nature & RelevanceAre budgets set as realistic expected results, or merely aspirational goals?
SourceIs data from an independent external source (more reliable) or internal management data?
ComparabilityIs industry data directly comparable, or must it be adjusted for the entity's specialised products?
ControlsAre there controls over preparation, review, and maintenance of the data (e.g., budget approval process)?

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### E — Develop a Sufficiently Precise Expectation (PAD)

The auditor must form an expectation precise enough to detect a material misstatement:

  • Precision: How accurately can the expected result be predicted?
  • Availability: Is both financial and non-financial data available to build the expectation?
  • Disaggregation: The more granular the data, the more precise the expectation

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### D — Determine Acceptable Difference Without Further Investigation

The auditor sets a threshold — differences below this amount need no further inquiry. The threshold is influenced by:

  • Materiality (higher materiality → larger acceptable difference)
  • Desired level of assurance (higher assurance needed → smaller acceptable difference)

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### S — Determine Suitability for the Assertion

1. SAP work best for large volumes of predictable transactions

2. Relationships must be expected to continue absent known contrary conditions

3. The auditor must assess how effective the AP will be at detecting misstatement

4. Even simple predictive models can be effective (e.g., headcount × average wage = payroll)

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### Decision Flow

```

Is the data Reliable? (R)

→ Can I develop a sufficiently precise Expectation? (E)

→ What Difference is acceptable without further inquiry? (D)

→ Is this AP Suitable for the assertion? (S)

→ If all YES: use SAP

```

Worked example

### Example 1

R test (comparability fails): The auditor wants to use industry average GP% (30%) to test a client that manufactures highly specialised aerospace components. The industry data is too broad to be comparable → reliance on this AP is low; supplement with TOD.

### Example 2

E test (PAD): Auditor wants to predict depreciation. Fixed asset register available (A), broken down by asset class and acquisition date (D), and rate is deterministic at 15% WDV (P) → expectation is precise. SAP is suitable for testing depreciation valuation.

### Example 3

D test: Performance materiality is ₹5 lakhs. For a ₹2 crore payroll figure, the auditor sets the acceptable difference at ₹3 lakhs. If actual payroll exceeds the expectation by ₹2.8 lakhs → no further investigation needed. If difference is ₹6 lakhs → investigate.

### Example 4

S test: Auditor uses prior year GP% of 34% to predict current year. No known changes in product mix, pricing, or input costs. The relationship is expected to continue → SAP suitable for testing revenue completeness and valuation.

⚠️ Common exam mistakes

  • Confusing REDS with PADNIS: PADNIS determines whether to use SAP at all; REDS determines how to apply SAP rigorously once chosen
  • Accepting management-prepared budgets as reliable data without evaluating whether they represent genuine expectations vs. targets
  • Setting the acceptable difference threshold too high (to avoid extra work) and thereby missing material misstatements
  • Assuming any data is reliable simply because it is available — external, independent sources are inherently more reliable than internal management-prepared data
  • Treating management's explanation for an unexpected AP result as audit evidence — it must always be corroborated with independent evidence
Reference:
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