Hiring decisions often break down not because of a lack of candidates, but due to fragmented feedback, inconsistent evaluation, and poor collaboration between interviewers. Recruiters rely heavily on spreadsheets, ATS tools, and external meeting platforms, creating gaps in decision-making and candidate communication.
This case study explores how a structured hiring workspace could improve collaboration, reduce bias, and help teams make faster, more informed hiring decisions.
Role: Product Designer Type: Assessment task expanded into a personal case study Focus: Workflow design, collaboration, decision-making & AI-assisted hiring
Recruiters and hiring teams struggle to evaluate candidates collectively due to unstructured feedback and scattered tools. As a result, strong candidates are often overlooked, decisions are delayed, and feedback loops break down.
“How might we help hiring teams collaborate, evaluate, and decide on candidates more effectively without replacing existing ATS systems?”
ATS systems were intentionally kept out of scope to avoid large-scale ecosystem disruption.