Pre-screen applicants. Catch struggling students at week three. Track alumni outcomes.

Three reasons. (1) Pre-cohort drop-out — every bootcamp loses some of its intake before week one to applicants who self-selected badly. A 7-minute RIASEC + Skills Audit before deposit converts the wrong-fit applicant into a no-show before they take a seat. (2) Mid-cohort drop-out — week three is the danger zone, when students realise the pace is harder than expected. A burnout-risk + values check flags students who need 1:1 support before they ghost. (3) Post-cohort placement — alumni outcomes data is the metric the market judges your bootcamp on. Linking placement back to assessment baseline shows you which student profiles convert and lets you sharpen admissions over time.

Yes. The assessment battery is generic — RIASEC and Big Five do not care if the destination role is engineer, designer, analyst, or product manager. The Career Guide maps to 2,521 careers including all common bootcamp destinations. UX bootcamps use Multiple Intelligences and Visual-Spatial assessments; data bootcamps lean on IQ and Skills Audit; product bootcamps emphasise EQ and Conflict Styles for stakeholder management.

CodeSubmit and Codility test technical skill — can you write a function that solves this problem in 30 minutes. JobCannon tests fit and predicts trajectory — does this person have the temperament, motivation, and skill base to make it through twelve weeks of grinding new material. The two are complementary. Run a coding test for the technical baseline and JobCannon for fit and trajectory, and you catch both the technical and the motivational mismatch.

Some bootcamps with ISAs use JobCannon assessment data as one signal in their underwriting model — alongside academic background and coding pre-test. We do not provide a credit score or formal underwriting opinion; we provide validated psychometric and skills data the underwriting team can incorporate. What that data is worth to a given model is the model’s question, not ours — we supply the signal and the evidence behind how it was measured, and your underwriter decides what weight it carries.

Alumni who place into roles within six months are tagged "successful". The platform analyses their assessment baselines to identify which traits, RIASEC codes, and skill patterns predicted placement. Admissions sees an updated ideal-applicant profile each cohort. Over four to six cohorts the model converges on your bootcamp’s specific success pattern, which improves admissions hit-rate without becoming a hard filter.

The platform is fully online and asynchronous, which suits global remote cohorts. The platform ships in English plus 26 additional languages live in production, Spanish among them — relevant for Latin American bootcamps. The Remote Work assessment is included in the post-cohort battery for graduates targeting remote-first employers — particularly relevant for non-US students.