Case Study · Career Tech · AI · Undergrad
CareerCompass
An AI career coach that turns generic advice into a personalized conversation — resume feedback, mock interviews, and a roadmap inside one chat.
A quick read before you dive in
An AI-powered career guidance chatbot that helps students navigate job searching, resume building, interview preparation, and career path planning — personalized to their specific goals, background, and target roles.
Career outcomes should not depend on who you know or whether your university can afford enough career counselors. AI can deliver genuine 1:1 guidance at massive scale — for the first time making great career coaching truly accessible to everyone.
Undergraduate students — especially first-generation college students and international students — navigating job markets they don't fully understand, without a built-in professional network to lean on.
As product builder, I led research, prioritization, product decisions, and the end-to-end experience — from problem framing to the shipped flow.
Why career advice fails most students
Generic career advice is everywhere. Truly personalized career guidance — the kind that understands your specific background, goals, skill gaps, and target industry — costs hundreds of dollars per hour or requires knowing exactly the right person.
First-generation students and international students are at the biggest disadvantage. They don't have parents who've navigated corporate hiring. They don't have alumni networks that open doors. They're talented, driven, and deserve better than a 20-minute appointment with an overbooked career counselor.
CareerCompass was built to democratize access to the kind of career coaching that used to be reserved for those with the right connections.
Generic advice
Career tips scale to everyone and fit no one — students can't act on 'network more' or 'tailor your resume'.
No network to lean on
First-gen and international students often don't have parents or alumni who've been through the same hiring paths.
Resumes without feedback
Applications go into the void; students never learn why they didn't get called back.
Interview anxiety
There's nowhere safe to actually rehearse — real interviews are the first rep.
Path confusion
Students don't know what to build, apply to, or learn next in what order.
Who are we truly building for?
The student without a network — and the career center trying to reach them.
The Undernetworked Job Seeker
Talented, hardworking, and completely lost in a hiring process that rewards connections over competence.
- ·Honest, specific resume feedback — not 'looks good, add metrics'
- ·A safe space to practice interviews without embarrassment
- ·Personalized career path suggestions based on real skills
- ·Clear, actionable next steps — not vague motivational advice
University Career Centers
Overwhelmed staff trying to serve thousands of students with a team built for hundreds.
- ·An AI tool that handles first-touch career questions at scale
- ·Frees up counselors for high-stakes, high-complexity sessions
- ·A way to reach the students who never self-select for support
What the research kept telling me.
- ✦Students trust a coach that remembers context, not a tool that resets every session.
- ✦Resume analysis and interview practice matter most when they live inside the same conversation, not as disconnected tabs.
- ✦The most valuable output isn't advice — it's a concrete next step for this week.
What hurts most — and why it matters
Pain points from undergraduate job-seeker interviews.
| Pain point | Urgency | Frequency | Impact | Chosen |
|---|---|---|---|---|
| Generic, non-personalized advice | High | High | High | ✓ |
| No safe space to practice interviews | High | High | High | ✓ |
| Not knowing where to even start | High | High | Med | — |
| Imposter syndrome and confidence gaps | Med | High | High | — |
Personalization and safe practice unlock everything else. A student who gets specific feedback on their resume and practices their pitch without fear becomes a student who actually applies — and gets the job.
Four features. One career coach.
Personalized Career Chatbot
NLP-powered conversational AI that understands the student's background, target roles, and current experience level — then gives advice that actually fits their situation, not a template.
Resume Analyzer
Upload your resume → receive specific, actionable feedback on content, structure, impact language, and keyword optimization for target roles.
Mock Interview Mode
Practice answers to common behavioral and technical interview questions. Get AI feedback on structure, clarity, storytelling, and use of the STAR method.
Career Path Roadmap
Based on current skills and stated goals, CareerCompass generates a personalized 3–6 month action plan — what to build, what to apply to, what to learn next.
What I picked — and what it honestly cost.
| Solution | Benefit | Limitation |
|---|---|---|
| Career Chatbot | Personalized, conversational, high trust | Quality depends on NLP training depth |
| Resume Analyzer | Immediate, tangible, measurable value | Upload friction; formatting edge cases |
| Mock Interview | High-anxiety feature with huge impact | Subjective feedback is hard to calibrate well |
| Career Roadmap | Gives clarity and momentum | Only useful after chatbot gathers enough context |
Keep the chatbot as the core surface. Resume analysis, mock interviews, and the roadmap all live inside the conversation as capabilities the coach can invoke — not as separate tools the student has to stitch together themselves.
How I moved from problem to shipped product.
- Step 01Problem framingAccess gap in personalized coaching→
- Step 02User groupsFirst-gen + international students→
- Step 03Chatbot coreNLP conversation design→
- Step 04Resume analyzerContent + structure feedback→
- Step 05Mock interviewSTAR-based practice mode→
- Step 06Roadmap3–6 month personalized action plan→
- Step 07Flow designAll capabilities inside one chat→
- Step 08NextPilot with a university career center
What was actually built and shipped.
"CareerCompass is built on the belief that every student — regardless of their network, their university's brand, or their family's professional connections — deserves access to a great career coach. For the first time, AI makes that genuinely possible."
Snapshot metrics above describe product features and market context — not verified adoption numbers.
What this project taught me as a PM.
One surface, many capabilities
The chatbot wasn't a feature — it was the shape of the product. Everything else earned its place by being callable from inside it.
Equity is a product decision
Building for first-gen and international students first raised the bar for clarity, tone, and defaults for everyone.
Advice → action
'Send this application by Friday' outperforms 'consider tailoring your resume' every time.
What I'd test next
A pilot with a career center measuring resume revisions completed and interviews booked per active student.