12.3 Audit evidence gathering procedures/ techniques

Audit evidence gathering procedures or techniques refer to the specific methods and techniques used by auditors to obtain and evaluate audit evidence. These procedures are designed to gather sufficient and appropriate evidence to support the auditor’s conclusions and opinions. Here are some commonly used audit evidence gathering procedures:

1. Inspection:
   • Reviewing and examining documentation such as invoices, contracts, bank statements, financial statements, and other relevant records.
   • Inspecting physical assets such as inventory, fixed assets, or securities.
2. Observation:
   • Directly observing processes, activities, or control procedures being performed by the entity’s personnel.
   • Observing physical inventory counts, production processes, or internal control activities.
3. Inquiry:
   • Conducting interviews or discussions with management, employees, or other individuals within or outside the entity to obtain information and explanations regarding transactions, controls, or other matters.
4. Confirmation:
   • Obtaining written responses or confirmations from external parties, such as banks, customers, suppliers, or legal counsel, to verify the accuracy and completeness of certain information.
5. Reperformance:
   • Independently performing procedures or control activities that were originally performed by the entity to assess their effectiveness and accuracy.
6. Analytical Procedures:
   • Analyzing financial and non-financial data to identify relationships, trends, or significant variations.
   • Comparing current and prior period data, industry benchmarks, or forecasts to assess the reasonableness and consistency of financial information.
7. Recalculation:
   • Independently verifying mathematical calculations and rechecking the accuracy of financial calculations, such as interest expense, depreciation, or inventory valuation.
8. Vouching:
   • Tracing transactions or amounts from the financial statements back to the supporting documentation and source documents to verify their accuracy and validity.
9. Sampling:
   • Selecting and examining a representative sample of transactions, items, or data to draw conclusions about the entire population.
10. Data Analytics:

• Using specialized software and techniques to analyze large volumes of data for patterns, anomalies, or potential risk areas.