The context: rapid growth with overwhelmed HR
The company was in a phase of accelerated growth: from 80 to 200 employees in 18 months. The 3-person HR team was overwhelmed. The bottleneck wasn't finding candidates — it was the time consumed by the evaluation and documentation process.
Each interview generated post-interview work: handwritten notes to transcribe, evaluation reports for hiring managers, and calibration meetings between interviewers. Total time was 2.5-3 hours per interview, equating to 100-150 monthly hours in interview administration alone.
The specific problems to solve
Beyond time, the team identified three quality issues: evaluation reports were inconsistent across interviewers, hiring managers complained reports didn't capture the "why" behind evaluations, and the company lacked sufficient documentation to defend selection decisions against potential claims.
The CallsIQ implementation
Implementation was gradual. In week one, they transcribed all interviews but continued writing reports manually, using transcripts as reference. Even in that first week, report writing time halved.
In week two, they developed a structured report template completed directly from the transcript: 5 competencies, 1-5 score, textual evidence for the score (transcript fragment). Report preparation time dropped to 20 minutes per interview.
In week four, they added asynchronous calibration: both interviewers read transcripts independently, completed rubrics, and only met if there were discrepancies greater than 2 points. This eliminated calibration meetings in 70% of cases.
Results after 3 months
The HR team went from 120 monthly hours in interview administration to 36 hours — a 70% reduction. That freed time was redirected to improving candidate sourcing and developing employer branding programs.
Hiring quality also improved: early attrition in the first 6 months dropped from 22% to 14%, which the team attributes partly to more informed and consistent decisions.
Main lesson: Most of the time saved didn't come from transcription itself, but from eliminating manual note-taking during the interview. Without taking notes, interviewers could listen better — improving both interview quality and the subsequent report.