Interview Scorecard Agent
Make · Human resources · checked 2026-10-28
_Give interviewers an AI recruiting assistant that finds the right interview, reads its transcript, and writes interview feedback for each scorecard question with concrete evidence, flagging open questions for review._ **Problem.** Interviewers manually complete scorecards after each interview by recalling the conversation and writing supporting evidence for every competency. Feedback often gets delayed or skipped, and the depth and rigor of assessments vary from one interviewer to the next. This slows hiring decisions and makes candidates harder to compare fairly. **Solution.** When an interviewer sends the interview date and a candidate detail in chat, an AI agent locates the right interview in the calendar, interprets the linked meeting transcript, and decides how to answer each scorecard question with concrete supporting evidence. It adapts to the structure of each scorecard template and flags assumptions or open questions where the transcript is inconclusive, producing a completed scorecard ready for review.
At a glance
- Brand
- Make
- Jobs
- Human resources
- Sources
- 1
Dimensions
- Brands: Make
- Agents: Make AI Agents · Visit via /go/
- Occupations: Human resources
- Industries: cross-industry
- Tasks: analysis
Sources
- https://playbook.make.com/dashboard#use-case-score-interviews-from-transcript-evidence · fetched 2026-10-28 — “_Give interviewers an AI recruiting assistant that finds the right interview, reads its transcript, and writes interview feedback for each scorecard question with concrete evidence”
Last checked 2026-10-28. Description source: detail-page.