Screening questions
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5.7.
Screening questions
Screening questions
5.7.1.
Purpose
Screening questions are a way to add requirements on a job post that are not part of the quantification of the normal job post requirements yet. With these questions you are able to dig deeper in candidates motivation for this specific job post for example.
5.7.2.
Data
5.7.2.1.
Talent seekers
Talent seekers can provide screening questions on the job post creation or while editing the job post. The questions can be given in different formats, and the talent seeker can specify what to use the screening question for.
  • Yes/No - Useful to rank or automatically filter applicants
  • Multiple choice - Useful to rank or automatically filter applicants
  • Checkboxes - Useful to learn about applicants
  • Open (written answer) - Useful to filter or learn about applicants
  • Open (video response) - Useful to have a better grasp of the applicants
5.7.2.2.
Candidates
Candidates answer the screening questions as part of their application process.
5.7.3.
Algorithm validation
  • Daily and weekly metrics
  • Editorial reviews
  • Direct feedback from talent seekers
  • Direct feedback from candidates
5.7.4.
Description
We analyze the answers on screening questions through the following methods:
  1. Yes/No - Ideal for ranking or automatically filtering applicants. We assess if the candidate's response aligns with the talent seeker's expected answer. A match scores 1.0; otherwise, the score is 0, leading to automatic filtering.
  2. Yes/No - Ideal for ranking or automatically filtering applicants. We assess if the candidate's response aligns with the talent seeker's expected answer. A match scores 1.0; otherwise, the score is 0, leading to automatic filtering.
For Open (written answer) questions, useful for in-depth applicant evaluation, we analyze responses using LLMs based on these criteria:
  1. Language: Ensuring the response is in the same language as the question.
  2. Grammar: Evaluating the structural integrity and grammatical accuracy of the answer.
  3. Punctuation: Assessing the appropriate use of punctuation marks.
  4. Completeness: Checking if the answer is thorough and provides sufficient detail.
  5. Consistency: Ensuring logical presentation and direct relevance to the question.
  6. Professionalism: Gauging the tone to ensure it remains professional.
  7. Quality: Assessing the overall writing quality and relevance to the question.
5.7.5.
Mathematical description
  • Let A be the answer given by the candidate.
  • Let E be the expected answer by the talent seeker.
  • Let S be the score for the question.
Mathematical description 1
  • Stotal represents the total score for an Open question.
  • Slang, Sgram, Spunc, Scomp, Sconsis, Sprof, Squal are the scores for language, grammar, punctuation, completeness, consistency, professionalism, and quality, respectively, each evaluated on the candidate's answer A through LLM analysis
Mathematical description 2
Fair artificial intelligence.
We’re committed to it.
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