Find realistic career moves from your current skills.
Get ranked career options, transferable strengths, specific gaps, readiness timelines, and durability signals. Below is a sample transition report.
The 2-4 hours is split across four phases that build on each other. Phase 1 uses your existing profile if you have one — diagnostics, Ops sessions, and daily practice all contribute evidence. The deeper your profile, the more precise the transition analysis. You can pause and resume between any phase.
Combines all your existing QLM evidence — diagnostics, Ops sessions, daily practice — with a career-context questionnaire covering your experience, credentials, constraints, and transition goals. If you already have a high-confidence profile, this phase is 15-20 minutes of context. If starting fresh, expect 60-90 minutes for the diagnostic foundation.
Choose specific careers to evaluate, or let the engine scan all 185 profiles and surface the most viable transitions. Most visitors use a hybrid approach — select 3-5 careers they're curious about, and let the engine add its top recommendations from the remaining catalog.
Your profile is compared against every career demand profile. The engine computes dimensional fit, identifies transferable strengths, quantifies gaps, estimates time-to-readiness via logistic saturation curves, and projects AI disruption risk per career. Runs in under 30 seconds.
Full report: ranked viable transitions, per-dimension gap breakdown, transferable strengths, time-to-readiness with confidence intervals, AI disruption scores, and suggested learning pathways for each gap dimension. Includes explicit limits framing — what the analysis cannot speak to.
The career transition engine rests on six methodological pillars: adaptive dimensional profiling, calibrated career demand profiles, AI disruption modeling, logistic saturation projections for time-to-readiness, transferable-skill mapping across dimensional space, and bounded claims at every assertion. Every number in the output traces back to a named methodology with a published validation status.
Calibrated career demand profiles spanning 12 sectors: technology, finance, healthcare, legal, education, government, consulting, engineering, creative, operations, sales, and research. Each profile built from practitioner-consensus calibration with ~10 practitioners per career establishing dimensional weights and thresholds.
Per-career AI disruption projections modeling automation exposure across each dimension. Built from task-level decomposition of each career crossed with current and projected AI capability trajectories. Updated quarterly as capability benchmarks shift. Not a binary "safe/unsafe" — a percentage with confidence intervals.
Time-to-readiness estimated via time estimation based on your learning trajectory from the QLM cohort. Not linear projection — accounts for diminishing returns at higher proficiency levels. Confidence intervals widen for larger gaps where fewer data points exist in the transition cohort.
Your profile is computed via the same adaptive profile engine that powers all QLM measurement. Multi-evidence fusion across diagnostics, Ops, and daily practice — not a single-test snapshot. Profile confidence scales with evidence volume and recency.
Transferability is computed in dimensional space, not by keyword matching. A dimension that exceeds the target career's demand is transferable strength; a dimension below is a gap. The engine identifies which of your strongest dimensions carry the most weight in each target career.
Every assertion in the career transition report is tagged with its evidence basis and confidence level. The analysis never claims more than the measurement supports. Limits are named explicitly alongside every recommendation — not buried in footnotes.
A 2-4 hour career transition analysis gives you a measurement-backed read on dimensional fit, capability gaps, and career durability. It does not address adjacent factors that matter enormously in a real career transition. Five things this analysis cannot speak to, each named honestly.
The initial career readiness assessment is free — top-line fit against your most likely transitions. The full 185-career analysis with AI disruption modeling, per-dimension gap breakdown, and learning pathways requires Pro. Pro covers this outcome and every other outcome in the catalog.
Top-line career readiness against your 5 highest-fit transitions. Includes overall fit percentage and primary gap identification per career. Enough to know whether a transition is worth investigating further. No credit card, no time limit.
Full 185-career comparative analysis with per-dimension gap breakdown, transferable-strength identification, AI disruption scoring per career, time-to-readiness estimates with confidence intervals, and suggested learning pathways. Includes quarterly re-analysis as your profile evolves and all other Pro outcomes.
Two to four hours returns a 185-career transition analysis with dimensional gap breakdown, AI disruption projections, and realistic timelines. Free initial assessment, Pro for the full analysis.