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MBTI For Your Career

How MBTI For Your Career works

What's in the report, how the satisfaction predictions are calculated, and where the career data comes from.

What's in the Career report

What does MBTI For Your Career actually give me?

Everything in MBTI For You — your full type profile, 20 Step II facets, in-depth sections, 4 learning courses, and PDF — plus a complete career layer built on top of your MBTI data:

  • Predicted job satisfaction for 300+ O*NET occupations, based on your 20 MBTI facet scores
  • Your top 25 career matches ranked from highest to lowest predicted satisfaction
  • For each career: salary data, education requirements, job outlook, work activities, knowledge areas, and related occupations
  • A satisfaction comparison showing how your prediction stacks up against the research average for people already in that field
  • Bookmark and side-by-side comparison of up to 3 careers

How the satisfaction prediction works

How does MBTI predict my job satisfaction?

The prediction is based on an ordinal logistic regression model developed by The Myers-Briggs Company's R&D team. Your 20 Step II facet scores — the subscales measured by the Global MBTI Step II™ assessment — are run through a separate set of coefficients for each occupation in the model.

The output is a predicted probability that you would be "very satisfied" or "satisfied" in that role. This is the percentage shown next to each career in your results.

Example: If your predicted satisfaction for "Architect" is 74%, the model estimates a 74% probability that someone with your specific MBTI facet profile would report being satisfied or very satisfied in that occupation — based on how people with similar profiles have responded in employment research.

What is the SSR indicator (over/under-represented)?

SSR stands for Sample Size Representation. It shows whether your confirmed MBTI type is over-represented, fairly represented, or under-represented in the workforce of each occupation, based on research data. An "over-represented" tag means people of your type make up a larger share of that field than you'd expect by chance — which can signal natural affinity. "Under-represented" means the opposite. This is separate from the satisfaction prediction and gives context about where your type tends to gravitate.

How is this different from a career quiz or Holland code match?

Most career recommendation tools map broad personality characteristics to broad career categories. MBTI For Your Career does something different: it uses 20 distinct facet scores (not just 4 letters) to run a separate statistical prediction for hundreds of specific occupations. The model was built using real job satisfaction data from employed adults — not from theoretical type-career mappings.

Two people with the same four-letter MBTI type but different facet profiles can get meaningfully different career predictions. That granularity is what makes the results feel personal rather than generic.

The data behind each career

Where does the salary data come from?

Salary figures are sourced from three authoritative U.S. government data sets, applied in order of availability:

  • Bureau of Labor Statistics Occupational Employment and Wage Statistics (OES), May 2025 — the primary source for civilian occupations
  • BLS OES occupation-group averages — used as a fallback when a specific occupation code is not individually reported
  • U.S. Census Bureau American Community Survey 5-Year estimates, 2020–2024 — used for military occupations and any remaining gaps (civilian median wages only; housing and subsistence allowances excluded for military roles)

Nearly every occupation in the model has salary data. The rare exception (Medical Lab Technologist) had insufficient Census survey sample size.

Where does the occupation data (descriptions, work activities, education) come from?

All occupation data — titles, descriptions, work activities, knowledge areas, education requirements, job outlook, and related occupations — comes from O*NET 30.3, the U.S. Department of Labor's comprehensive occupational database. O*NET covers occupations across all major industries and is updated regularly with real-world employment data.

Does the report cover international careers and salaries?

The occupations in the model are based on the O*NET framework (U.S.), and salary data is from U.S. government sources. The psychometric model itself — how your MBTI facets predict satisfaction — is not U.S.-specific; the underlying employment research draws on data from multiple countries. If you're outside the U.S., treat salary figures as reference benchmarks rather than local estimates, and use the satisfaction scores and career descriptions as the primary guidance.

Getting started

Do I need to buy MBTI For You first?

No — MBTI For Your Career includes MBTI For You. One purchase unlocks both: your full type profile, the 20 Step II facets, the four learning courses, and the PDF report, plus the entire career layer. If you already own MBTI For You, you don't pay for it twice — you pay the $19.95 upgrade price instead.

Do I need to take the assessment before I can see my career results?

Yes — the career predictions are calculated from your 20 Step II facet scores, which come from the 143-question assessment. If you haven't taken the assessment yet, you'll be prompted to do so after purchasing. If you already own MBTI For You and have completed the assessment, your career results are available immediately after upgrading.

I already own MBTI For You. Do I need to retake the assessment?

No. Upgrading to MBTI For Your Career uses the facet data from your existing completed session. You don't retake anything — the career analysis is generated from what you've already done. The upgrade price is $19.95 (vs. the full $79.95 if you're buying both together).

Can I get this as a gift?

Yes. You can gift MBTI For Your Career (or MBTI For You) to anyone from the gifting page. They'll receive a code by email and can redeem it whenever they're ready — no account required to receive the gift.

Ready to see your career matches?

Hundreds of careers. Psychometric satisfaction predictions. Real salary data. One-time purchase.

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