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Applicants use AI to optimize CVs while employers automate screening. How would you improve this hiring marketplace?

Try it in the practice workspaceDraft your answer before comparing it with the rubric.

Move beyond polished application text to evidence of job-relevant ability, while accounting for candidate burden and reviewer capacity.

Updated Nov 2026 · Original practice questions with worked answers and teaching rubrics. Our editorial policy explains the sources, review process and limits.

Case briefRead the inputs, then make your call

A hiring marketplace sees applicants optimizing CVs with AI while employers automate screening. These pilot figures are fictional and use an agreed job-relevance rubric.

Scenario inputs
Application pool1,000 applications for a comparable role family.
Current screen100 advanced; independent reviewers judge 60 qualified.
Proposed screen150 advanced; independent reviewers judge 75 qualified.
Review capacityRecruiters can assess 120 candidates.
Missing labelsRejected applications have not been independently reviewed. Candidate burden and later job outcomes are not yet measured.

Your task. Choose the product change and evaluation design. Explain the precision, capacity and missing-label problems, and how candidates can correct screening mistakes.

Move beyond polished application text to evidence of job-relevant ability, while accounting for candidate burden and reviewer capacity.

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