Metadata
Professional & Career Studies Undergraduate Analyze Hard
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Metadata

  • Subject

    Professional & Career Studies

  • Education level

    Undergraduate

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Hard

  • Tags

    competency-based hiring, employee retention, performance metrics, startups, HR analytics

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Test students' ability to analyze how competency-based hiring models influence long-term employee performance and retention in technology startups; scope includes defining competency frameworks, selecting and critiquing performance and retention metrics, designing longitudinal or quasi-experimental evaluations, identifying confounders (culture, role, growth stage), interpreting HR analytics, and proposing evidence-based hiring and development recommendations.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.