Manual Ranking
Manual ranking is a qualitative evaluation technique where human assessors assign scores or ranks to items based on predefined criteria, often used in contexts like search engine result quality, content relevance, or skill assessment. It involves subjective judgment to order or rate items, typically without automated algorithms, relying on expert knowledge or guidelines. This method is common in areas requiring nuanced human insight, such as resume screening, product reviews, or academic grading.
Developers should learn manual ranking when working on projects that involve human-in-the-loop systems, such as training machine learning models where labeled data is needed, or in quality assurance for user-facing features like search results. It's useful in scenarios where automated methods lack context or require validation, such as evaluating code quality in peer reviews or prioritizing tasks in agile development. Understanding manual ranking helps in designing fair assessment frameworks and integrating human feedback into technical processes.