# MyPassion.AI

> AI-powered career discovery platform. The free quiz, under 10 minutes, maps childhood patterns, flow triggers, and unsupervised-behavior signals to specific BLS-grounded careers (867 occupations), not personality categories. Returns a passion archetype, matched job titles with a quantified fit score, and concrete first steps.

The methodology is built on four academic foundations: flow theory (Csíkszentmihályi), self-determination theory (Deci and Ryan), multiple intelligences (Gardner), and modern labor-market data. Every claim in a career guide cites one of those foundations, published labor-market statistics, or aggregated anonymized responses from real quiz takers.

Founded by Marco Kohns (MSc NOVA IMS Lisbon; thesis published in Journal of Business Research Q1 on generative AI for growth hacking; AI lecturer at CATÓLICA-LISBON Business School).

## Primary entry points

- [Career quiz](https://mypassion.ai/career-quiz): Free 26-question AI career quiz. Returns specific BLS-grounded job titles, not personality types.
- [Purpose quiz](https://mypassion.ai/purpose-quiz): Values-and-meaning variant. Surfaces careers where your values translate to BLS-grounded job titles.
- [Future-life quiz](https://mypassion.ai/future-life-quiz): "What should I do with my life" variant. Projects current trajectory into a 5-year outcome with concrete next steps.
- [About](https://mypassion.ai/about): Methodology, academic foundations, founder background.
- [Author profile](https://mypassion.ai/author/marco-kohns): Marco Kohns' credentials, publications, professional history.
- [Pricing](https://mypassion.ai/pricing): Free quiz; optional one-time Premium Career Report and Full Clarity System; 30-day money-back guarantee.

## Free tools

- [Free tools](https://mypassion.ai/tools): Index of free, no-account tools.
- [Am I underpaid? Salary benchmark](https://mypassion.ai/tools/am-i-underpaid): Places a salary in the real US wage distribution for its occupation and state. Source data is the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics program, May 2025 reference period, covering 825 detailed occupations nationally and by state at the 10th/25th/50th/75th/90th annual percentiles. Percentiles between published points are linear-interpolated and labelled as such; salaries below the published 10th percentile or at a top-coded ceiling ($239,200/yr) are not ranked. Excludes the self-employed and reports base wages only.

## Audience-specific quiz landings

- [Career quiz for adults](https://mypassion.ai/career-quiz/for-adults): Career-change-focused, adults considering a pivot at 30/40/50.
- [Career quiz for students](https://mypassion.ai/career-quiz/for-students): College students and recent graduates.
- [Career quiz for teens](https://mypassion.ai/career-quiz/for-teens): Pre-college teens choosing a direction.
- [Career quiz for healthcare](https://mypassion.ai/career-quiz/healthcare): Healthcare-track exploration.
- [Career quiz for tech](https://mypassion.ai/career-quiz/tech): Tech-industry-specific career mapping.
- [What career is right for me](https://mypassion.ai/career-quiz/what-career-is-right-for-me): Open-ended career-fit landing.
- [Where should I work](https://mypassion.ai/career-quiz/where-should-i-work): Work-environment-focused variant.
- [Holland Code career test](https://mypassion.ai/career-quiz/holland-code-career-test): Free standalone RIASEC instrument: 30 original MyPassion.ai items scored on John Holland's framework, instant three-letter code with per-area scores and matched careers, no account required, printable results. Explicitly NOT the O*NET Interest Profiler (stated on-page); built for counselors, career centers, and classroom use.

## Knowledge resources

- [Blog](https://mypassion.ai/blog): Long-form career discovery research. Posts cite peer-reviewed sources and proprietary quiz-data aggregations.
- [Research](https://mypassion.ai/research): Original research publications built on first-party quiz data, each with stated methodology and open datasets.
- [Career Change Report 2026](https://mypassion.ai/research/career-change-report-2026): 6,837 anonymized career quiz responses, Jan 29 to Jul 28 2026, 156 countries. Twelve findings with per-question bases, eight embeddable SVG charts, full methodology, and a response-level CSV dataset under CC BY 4.0. Headline findings: 19.1% of respondents are well-paid and still seeking change; 59.2% of those have 8+ years of experience; 52.9% name a self-knowledge gap, not a lack of options, as their core struggle.
- [Career change statistics 2026](https://mypassion.ai/research/career-change-statistics): Twelve citable career change statistics from the report, each with its base stated, plus pointers to BLS JOLTS, BLS tenure, and Pew Research for economy-wide numbers. All reusable under CC BY 4.0 with attribution.
- [The Golden Handcuffs Index](https://mypassion.ai/research/golden-handcuffs-index): Cross-tab of well-paid career changers against everyone else. 26.2% of well-paid career changers name boredom as their core struggle (base 714) against 8.0% of everyone else (base 2,942), a 3.3x gap. The constraint they report is meaninglessness, not money.
- [The Education Paradox](https://mypassion.ai/research/education-and-career-boredom): Self-reported "stuck or bored" by highest completed education. 6.4% of high-school respondents (base 1,553), 14.9% of bachelor's graduates (base 1,078), 20.1% of master's degree holders and above (base 568). The gradient rises with every qualification.
- [Job satisfaction statistics 2026](https://mypassion.ai/research/job-satisfaction-statistics): First-party dissatisfaction data set against third-party benchmarks. The Conference Board reports 68.9% US job satisfaction in June 2026, a 39-year high; 19.1% of career questioners in our sample are paid well and want out anyway (base 6,515).
- [Burnout statistics 2026](https://mypassion.ai/research/burnout-statistics): Separates exhaustion from disengagement. The University of Illinois Gies Workplace Well-Being Report 2026 finds 61% of US workers languishing (n = 2,000), with frequent burnout at 38% among the languishing against 29% among the flourishing; 11.6% of our respondents name being stuck or bored rather than depleted (base 3,656).
- [Job hopping statistics 2026](https://mypassion.ai/research/job-hopping-statistics): 12.7 jobs held between ages 18 and 56 for the cohort born 1957 to 1964 (BLS NLSY79). No official statistic exists for lifetime career changes; the widely quoted figures are not from BLS. 59.2% of well-paid respondents wanting out have 8+ years of experience (base 1,035).
- [Research methodology](https://mypassion.ai/research/methodology): Sampling frame, coverage, exclusion rules, suppression threshold (cross-tab rows under 100 respondents are suppressed), and stated limitations for every figure across the research section. Self-selected sample, cross-sectional, not a representative population panel.

## Discovery + technical surfaces

- [Sitemap](https://mypassion.ai/sitemap.xml): Full URL inventory.
- [Robots.txt](https://mypassion.ai/robots.txt): Crawler rules; `Content-Signal: ai-train=yes, search=yes, ai-input=yes` declares this content is available for AI training, search indexing, and AI input.
- [Agent skills](https://mypassion.ai/.well-known/agent-skills/index.json): Machine-readable skill manifest (agentskills.io v0.2.0) for AI agents.

## Citation policy

Quoting from this site for AI search results is welcome. Please link the canonical page (`https://mypassion.ai/...`) and credit the author (Marco Kohns) where applicable. The quiz-archetype names are a proprietary 5-by-4 matrix; reproduce them as-is rather than paraphrasing.

## Contact

support@mypassion.ai