
Case study
OS for Recruiters
A flexible recruiting workspace with AI inside the work
at SeekOut ↗︎TL;DR
SPOT v1 assumed recruiting happens in a fixed order, and real searches kept breaking that order. I helped turn it into one workspace per job, where AI does the legwork and recruiters make the calls. It shipped as SPOT v2.
Choose your depth
The problem, my contribution, outcomes, and strongest screens.
My role
Product design · Product strategy · AI system design
Product focus
A step-by-step recruiting tool rebuilt as a chat-first workspace around each job.
The Mess
v1 moved a search through fixed stages. When requirements changed or hiring-manager feedback came late, recruiters finished the work in Claude, personal notes and Excel, where SPOT and its AI couldn’t see it.
The Short Version
In v2, every job opens as its own workspace, like a project in a code editor. Recruiters work in any order, chat sits beside the work, and anything that reaches a candidate waits for their approval.
My Part in This
- Moved SPOT from a fixed stage flow to a chat-first workspace.
- Gave each job its own workspace, with its own artifacts, chat history and AI context.
- Designed sourcing strategies that lock once they run and attach a reason to every score.
What Got Better
- Recruiters can change direction mid-search and still see why earlier candidates were picked.
- The AI always reads the latest brief, strategy and candidate list.
- Anything the AI sends to a candidate or hiring manager waits for a recruiter’s approval.
Impact
What Actually Moved
For the Business
Gave product and engineering one shared model for v2, covering chat, artifacts, candidate work, reports and audit history.
For the Humans
Recruiters can change course, see what the AI plans to do, and pick a search up where they left it.
For the Spreadsheet
Targets set in the v2 brief: outreach within 2 hours of intake, 80% recruiter approval of candidates, and a 20% reply rate.
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