Built for coding & career bootcamps
A 25-minute fit assessment cuts pre-cohort drop-out. A week-three burnout check flags interventions. Post-cohort outcomes data sharpens admissions every cohort. Free for student cohorts.
JobCannon for Coding and Career Bootcamps provides three assessment loops across the cohort lifecycle: pre-cohort fit screening (RIASEC + Skills Audit + Big Five) before deposit to reduce no-shows and early drop-out, mid-cohort intervention check (Burnout Risk + Values + EQ) at week three to flag students needing 1:1 support, and post-cohort outcomes mapping (placement data linked back to assessment baseline) to sharpen admissions models over four to six cohorts. Used by full-stack, data-science, UX, product, and growth-marketing bootcamps. Student-facing assessments are free for the cohort, including alumni follow-up. Cohort dashboard with outcomes analytics runs on the Business tier ($199/mo flat) or under a partnership for multi-cohort operators. Spanish localisation in active build for Latin American bootcamps. The platform complements technical screens (CodeSubmit, Codility) — those test skill, JobCannon tests fit and trajectory.
Pre, mid, and post — each with a measurable outcome.
Asynchronous, mobile-friendly, total time per loop under 25 minutes.
For a bootcamp with 200 students per year
Student-facing assessments and Career Guide stay free. Cohort outcomes dashboard on the Business tier ($199/mo flat) or scoped under a partnership for multi-cohort operators.
Try it with a micro-team
For independent coaches and therapists
For startups, teams and HR
For agencies, L&D and scale-ups
For 200+ person companies
All plans currently activated manually via the contact form — we review each request within 24 hours and provision access the same day. Self-serve checkout coming once we've heard from the first wave of teams.
Tell us your cohort size, your placement target, and your admissions process. We respond with a pilot plan within one business day.
Three reasons. (1) Pre-cohort drop-out — bootcamps lose 5-15 percent of students before week one because they self-select badly. A 25-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 2,536 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. Most bootcamps run a coding test for technical baseline and JobCannon for fit and trajectory; together they catch both technical and motivational mismatches.
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. Bootcamps that did this report a small but consistent reduction in default rate (1-3 percentage points) in the first cohort using the data.
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. Spanish localisation is in active build 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.