Role Fit — evidence-led job matching
What this case proves Designing a complete two-sided user flow and converting testing feedback into product iteration
- Product Discovery
- Evidence Retrieval
- Human-in-the-loop
A live two-sided decision product that helps candidates organise fit evidence and helps recruiters verify the basis of a match, then improves the flow through testing and user feedback.
Project overview
Role Sole product owner and builder — discovery, product strategy, interaction, evaluation, launch, and iteration
Scenario
Candidates need to compare a job description with scattered experience evidence and identify honest gaps; recruiters need to verify why a person may fit without reading an entire portfolio or accepting a black-box score. The two sides share evidence but make different decisions.
Product strategy
The product accepts pasted or uploaded job descriptions, retrieves verifiable evidence from the portfolio, and produces strong matches, transferable experience, honest gaps, and follow-up questions. Source cards keep every conclusion inspectable; candidates use the brief to prepare, while recruiters use the same evidence to continue their own assessment.
Evaluation
I track the route from landing to JD submission, brief rendering, follow-up questions, and contact actions, then use internal testing and recruiter feedback to reduce first-use friction, improve report actions, shorten initial wait, and strengthen source and claim guardrails.
Outcome and current stage
The public product is live in three languages with text and file input, source-linked evidence briefs, Agent follow-up, and explicit next actions. A private candidate beta extends the same product logic through consented materials, reports, and feedback without changing the public flow.