The before
Hannah's hiring debriefs were inconsistent. Some interviewers wrote detailed notes, others wrote fragments, and the hiring panel spent too much time reconstructing what happened.
The turning point
MultipleChat helps turn notes into a structured scorecard, then asks a second model to identify unsupported claims or missing evidence. The team uses the output as prep, not as the decision-maker.
"The scorecard is a way to organize the conversation, not replace it."
The after
Debriefs now focus on evidence, role fit, and open questions. Hiring managers get a cleaner view without letting AI decide who should be hired.
What they used
Structured summaries
Convert notes into consistent scorecards.
Evidence checks
Flag claims that need interviewer support.
Human review
Keep final decisions with the hiring team.