Score interviews from transcript evidence
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.
.webp)
Ready to use
Use the ready-made workflow
Open this use case in Make with the selected apps, then customize the workflow to fit your needs.
OR
Copied
When an interviewer sends the interview date and a candidate detail through [chat interface, e.g. Make agent chat or Slack], an AI agent locates the right interview in [calendar or interview scheduling system], interprets the linked meeting transcript from [meeting transcript source, e.g. Zoom/Gong/Otter], and decides how to answer each scorecard question in [scorecard tool, e.g. ATS scorecard template/Google Docs] 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 in [scorecard tool] ready for review.
Guided by AI
Build your own with Maia
Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
%201.svg)
+2
Date
·
Duration
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.
.avif)
+2
Date
·
Duration
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.
+2
Date
·
Duration
Impact
Interview scorecards are completed with evidence backed assessments shortly after each interview, giving hiring teams consistent, comparable feedback for faster decisions.
Benefits
+2
Date
·
Duration
Faster scorecard turnaround
+2
Date
·
Duration
Fairer candidate comparison
+2
Date
·
Duration
Shorter hiring cycles
+2
Date
·
Duration
Reduced interviewer workload
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
