Excel Template to Replicate Quality Control (QC)
Requirements
- Name
 - Priority
 - Type
 
In any Quality Control process, defining clear and detailed requirements is essential. The Excel template should include fields for the name of the requirement, its priority level, and the type of requirement (e.g., functional, non-functional).
Clear and detailed requirements help in ensuring that the project meets the specified criteria and functions as expected.
Test Plan
- Attachment
 - Step Name
 - Description
 - Expected Results
 
The Test Plan section of the Excel template should provide space for attaching relevant documents, naming test steps, describing each step in detail, and specifying the expected outcomes. A well-structured test plan is crucial for effective Quality Control.
A detailed test plan helps in organizing testing activities, ensuring thorough test coverage, and facilitating clear communication among team members.
Test Lab
- Attachment
 - Run Name
 - Status
 - Host
 - Duration
 - Execution Date
 - Execution Time
 - Tester
 
The Test Lab section in the Excel template should include fields for attaching files, naming test runs, indicating the status of each test, specifying the host machine used, tracking the duration of tests, recording the date and time of execution, and identifying the tester responsible for the test.
Efficient management of test execution details in the test lab helps in tracking progress, identifying issues, and assigning responsibilities effectively.
Defects
- Summary
 - Category
 - Detected By
 - Project
 - Severity
 - Reproducible
 - Subject
 - Detected on Date
 - Detected in Version
 - Status
 - Regression
 - Description
 
Tracking defects is a critical aspect of Quality Control. The Excel template should include fields for summarizing each defect, categorizing them, identifying the person who detected the defect, associating it with the relevant project, specifying its severity level, determining if it is reproducible, noting the subject of the defect, capturing the date it was detected, recording the version in which it was found, monitoring its status, flagging any regression issues, and providing a detailed description of the defect.
Effective defect tracking aids in identifying, resolving, and preventing issues, leading to improved product quality and customer satisfaction.
