In a prioritized review, what percentage of randomly selected un-coded documents is served up?

In a prioritized review, the methodology typically involves focusing on optimizing the review process by allowing reviewers to concentrate on the most relevant and potentially impactful documents first. The correct percentage of randomly selected un-coded documents that is served up in this context is often set at 10 percent. This allows for a manageable subset of documents to be reviewed while still maintaining a level of randomness and introducing efficiency into the overall review workflow.

Choosing this percentage helps in ensuring that reviewers are not overwhelmed with too many documents at once, while still allowing a representative sample of the documents to be evaluated. This approach allows teams to quickly identify key documents without sacrificing the integrity of the review process. The other options, while plausible in different review contexts, do not align with the standard practice for prioritized reviews focused on efficiency and impact assessment.