Business problem & context
Job seekers must manage job boards, résumé versions, approval decisions and application status across fragmented steps.
A human-centered AI career-search concept with transparent status, approval steps and plain-language UX.
Visible stages in the experience flow
Conversation-based beta + separate visual prototypeJob seekers juggle job boards, résumé versions, applications and tracking. Ambiguous labels can hide whether a résumé is approved or an application has actually been submitted.
I defined the workflow, conducted design walkthroughs, identified friction in the user journey and directed the AI-assisted visual prototyping. The chat-based beta and separate clickable visual prototype are not yet connected.
Identify audience needs and the points where users lose context.
Make seven stages visible: Profile, Jobs, ATS Review, Résumé, Application, Submit and My Applications.
Use plain-language actions, explicit résumé approval and separate pre-submission review.
Differentiate prepared versus confirmed submitted statuses and add a supportive finish state.
Design decisions were refined through internal walkthroughs. There are no validated usability, placement, hiring or live-integration outcomes yet.
This is a concept and design prototype, not a production job board, automatically submitting agent or formally validated product. Example screens and application details are illustrative.
An evidence-based overview. Where formal measurements or historical details are unavailable, that limitation is stated instead of filling in the gaps.
Job seekers must manage job boards, résumé versions, approval decisions and application status across fragmented steps.
Design walkthroughs identified confusing labels, missing ATS-review visibility and uncertainty about whether submissions had occurred.
Job seekers, including people less comfortable with technology, need clear current-stage indicators and unambiguous approval choices.
A seven-stage career workflow with résumé review, explicit approval, application checks, an application tracker and a supportive finish.
Created and revised AI-assisted UX concepts and a separate click-through prototype; the chat beta and visual prototype are not connected.
AI-assisted prototyping, interaction design, plain-language UX and status models; current examples are illustrative, not live job data.
Prototype and walkthrough findings only; no formal user study, verified hiring outcomes or commercial deployment is claimed.