Layered Career SPOT planning and opportunity interfaces

Case study

AI Career Strategist

Turning job search into a guided, AI-assisted career strategy

at SeekOut

Choose your depth

The problem, my contribution, outcomes, and strongest screens.

My role

Product design · 0→1 product framing · AI service design

Product focus

A persistent career agent connecting goals, opportunities, plans, tasks, and follow-up.

The Short Version

I designed a persistent career agent that turns someone’s goals into matched opportunities, action plans, tasks, and follow-up that actually shows up when it’s supposed to.

The Mess

Job seekers don’t lack listings, they lack continuity. Preferences get scattered across resumes, conversations, and job boards, and momentum disappears somewhere between discovery, applying, and prepping for the interview.

My Part in This

  1. Reframed the experience from a job-board chatbot into a persistent service model.
  2. Defined the hierarchy connecting Paths, opportunities, plans, and tasks.
  3. Designed progressive, voice-led onboarding for structured preferences.

What Got Better

  1. Shifted the concept from a reactive chatbot to a persistent career service.
  2. Defined a durable hierarchy connecting Paths, opportunities, plans, and next actions.

Impact

What Actually Moved

For the Business

Established a 0-to-1 service model connecting career goals, opportunities, plans, tasks, and follow-up.

For the Humans

Job seekers receive continuity and actionable guidance instead of another disconnected list of openings.

For the Spreadsheet

Creates pathways for sustained engagement and future premium career services without implying a launched revenue result.

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