FindYouJobs Methodology

Built with every student and Advisor in mind.

Using leading practice approaches, methodologies and official data sources.

No hallucinations, only the truth.

Aligned to the NACE Career Readiness Competencies

The framework 73% of career centers already use (NACE Career Services Benchmarks 2024-25). We use it too. Every resume gets scored against the eight competencies. Every coaching conversation references them.

Career & Self-DevelopmentCommunicationCritical ThinkingEquity & InclusionLeadershipProfessionalismTeamworkTechnology

Source: NACE Career Readiness Defined.

What we bring in the box

Here’s what the AI works with from the minute a student logs in. Public research a career office would trust. Coaching frameworks recruiters actually use.

Research & data sources
O*NET
U.S. Department of Labor. 1,000+ occupations with skill profiles.
Used for: Mapping career paths and matching skills to roles.
BLS Wage Statistics
Federal salary data, 10th to 90th percentile ranges.
Used for: Salary benchmarks, cited with a direct link.
BLS Employment Projections
10-year occupational outlook.
Used for: Growth rates and viability on career-path recommendations.
NACE Competencies
8-competency career readiness framework.
Used for: Tracking student readiness from coursework and experience.
WEF Future of Jobs
Global employer survey, 2030 skills outlook.
Used for: Identifying rising skills and long-horizon career planning.
FRED Economic Indicators
Federal Reserve macro and labor data.
Used for: Real-time unemployment, sector employment, market context.
Coaching frameworks the AI applies
XYZ Formula
"Accomplished [X] as measured by [Y] by doing [Z]."
Used for: Shaping resume bullets with a strong verb, a measurable outcome, and the specific action.
Source: Popularized by Laszlo Bock, former SVP People Operations at Google, in Work Rules! (2015).
STAR Method
Situation · Task · Action · Result
Used for: Structuring behavioral interview answers and evaluating whether a resume bullet tells a complete story.
Source: Originated by Tom Janz in Behavior Description Interviewing (1982). Adopted by Amazon, SHRM, and most Fortune 500 recruiting processes.
SMART Goals
Specific · Measurable · Achievable · Relevant · Time-bound
Used for: Concrete career action plans. "Apply to five target firms by November 1" rather than "work on job search."
Source: Introduced by George T. Doran, Management Review (November 1981).
Competing Values Framework
Four culture types: Clan · Adhocracy · Hierarchy · Market
Used for: Surfacing culture fit when students compare roles.
Source: Developed by Robert Quinn and Kim Cameron, University of Michigan. Diagnosing and Changing Organizational Culture (Jossey-Bass, 1999).
DISC-Inspired Style Adaptation
Behavioral communication styles.
Used for: Adapting AI response format to each student's communication preference.
Source: Based on the behavioral model introduced by William Moulton Marston, Emotions of Normal People (1928). FYJ implements a DISC-Inspired style adaptation. It is not a formal assessment tool.
Socratic Coaching
Questions over answers.
Used for: Building student agency. The AI asks, students think, decisions come from them.
Source: Classical method attributed to Socrates, via Plato's dialogues (5th c. BCE). Modern coaching application: Stober and Grant, Evidence Based Coaching Handbook (Wiley, 2006).

What we configure for your school

Everything above is what you get day one. Everything below is what we build with you. We sit down together to figure out how deep to go on each piece.

Tuned to how your office works

We tune the AI to your resume format, your coaching philosophy, your feedback patterns. When students read what comes back, it sounds like your team wrote it.

Mapped to your readiness program

If your school has a career curriculum or milestone program, the AI walks students through it. If not, it falls back to NACE competencies.

Hooked into your career platform

We connect to your career management system. Jobs, events, and appointments show up where students already are.

Lives inside your LMS

Students open FYJ from inside your LMS. They never have to leave the place coursework already lives.

Points to your programs and people

The AI points students to the centers, programs, employers, and events your team highlights. Your network stays your network.

Sounds like your career center

Tone matches your office. Professional where you're professional. Warm where you're warm.

What you can count on

Same rules for every school we work with. No exceptions.

  • FERPA-aligned agreement. Standard higher-ed data agreement, signed up front.
  • Your data stays yours. Each school's data sits in its own environment. No mixing with anyone else's.
  • No training on student data. Student content never trains an AI model. Per OpenAI's enterprise API terms, what your students type stays out of model training.
  • Deletion on request. Individual students or the full tenant. We confirm it in writing at contract close.
  • SOC 2 Type II infrastructure. We host on Supabase and AWS. Both SOC 2 Type II certified, both independently audited.
  • HECVAT available on request. Standard higher-ed security questionnaire, ready for your IT team.
  • Encryption everywhere. TLS 1.2+ in transit. AES-256 at rest.
  • Built to WCAG 2.1 AA accessibility principles. Keyboard navigation, screen-reader support, color contrast, and semantic structure throughout.

The four questions

1. More than Custom Agents, Gems, and Claude Projects.

The AI knows each student by name and speaks in your school’s voice. Advisors see what every student is working on, and reach those they’d otherwise miss. Other tools belong to whoever opens them. FYJ belongs to the office.

2. Where do the numbers come from?

Real sources, not vibes. BLS for wages. O*NET for skills. NACE for what employers want. Georgetown CEW for where the jobs are going. Click any score and you’ll see which one it came from.

3. Will the AI write the resume for the student?

No. We coach. The AI asks questions until the student writes a stronger bullet themselves. The words stay theirs. Worth knowing: 62% of employers toss AI-written resumes that haven’t been customized (Resume-Now, March 2025). Our students don’t end up in that pile.

4. Will the same resume get the same score twice?

Yes. The score moves when the resume changes or when fresh labor data lands. That’s it. No mystery drift.

How we get started together

  1. 1We send you a scope doc. It lays out the modules we'd turn on, what we'd customize for your school, and which of your systems we'd connect to.
  2. 2We meet to walk through it. Your team flags what's missing and tells us what to build first.
  3. 3We build it. Your team gets logins to test directly.
  4. 4We work through the changes your team finds. Then we launch with the cohort you pick.

Let’s talk about how this works for your school.