How to choose a UX/UI bootcamp: read the outcome data, not the marketing — a case study with Ironhack's own numbers

TL;DR — Ironhack advertises that it places ~90% of job‑seeking graduates within 6 months. I pulled its own internal alumni directory — every UX/UI graduate it tracks, 2,126 people across all 10 campuses — and by Ironhack's own labels, only 18% were hired as a designer. The largest group, 46%, is recorded as never placed / still searching / inactive. For the most recent cohort with data (class of 2025), it's 8% hired, 74% not placed. This isn't an anti‑Ironhack rant — it's a method you can use on any bootcamp. Full data + methodology + tamper‑evidence: github.com/donneepublique/ironhack-ux-outcomes.

The problem with bootcamp marketing

Every bootcamp advertises a huge placement rate. The number is almost always built on two tricks:

1. A shrunken denominator — they only count "job‑seeking graduates," quietly dropping everyone who went inactive, back to school, didn't finish, etc.

2. An inflated numerator — "placed" means any job, including roles that have nothing to do with the field you trained for, or going back to a job you already had.

So "90% placed" can be technically true and still tell you almost nothing about your real odds of becoming a working designer.

Why Ironhack is the rare case you can actually check

Most bootcamps never expose per‑student outcomes. Ironhack does: its alumni portal (my.ironhack.com) is an internal directory where Ironhack itself records each graduate's career‑services status (hired_in_field, placement_not_successful, searching, freelance, …). Because it's their system of record and not a curated marketing page, it includes the failures too. I aggregated and anonymized it (no individual is named).

What 2,126 UX/UI graduates actually did (Ironhack's own labels):

Recreate Ironhack's own generous math (any job ÷ job‑seekers) and you still only get to 50.7% — not 90%.

It's getting worse every year

The headline hides a steep decline as the junior design market cooled after 2022:

• 2021 grads: 37% hired in‑field

• 2022: 32% → 2023: 18% (and the 2023 class has had 1.5–3 years — plenty of time)

• 2024: 12%

• Class of 2025 (most recent): 8% hired in‑field, 74% never placed / still searching

(2026 grads are excluded — too recent, Ironhack hasn't finished recording them.)

Even the "success" number is generous

At least one graduate labelled hired_in_field was, verifiably, (a) already employed before starting the bootcamp and (b) working as a Product Manager — not a designer — at their pre‑existing employer. If the flagship "success" bucket absorbs cases like that, the true "became a designer because of the bootcamp" rate is below 18%.

So — how do you choose a UX/UI bootcamp?

Use this checklist on any school before you spend €8,000:

1. Ask for the in‑field hire rate, not the "placement rate." "Placed" ≠ "working as a designer." Make them define it.

2. Ask for the denominator. % of all graduates, not just "job‑seeking" ones. The gap between the two is where the spin lives.

3. Ask for recent cohorts. A 2021 number is meaningless in today's market. Demand the last 2–3 graduating classes.

4. Ask for third‑party‑audited, per‑cohort data (CIRR standard is the gold standard). "PwC‑audited" of a hand‑picked slice isn't the same thing.

5. Check independent sources — subreddits, alumni on LinkedIn (are they actually designers now, or "freelance / open to work" three years later?).

6. Treat "we don't guarantee jobs" + aspirational copy ("pay once you get a job", "land your first role") as marketing, not evidence.

7. Do the LinkedIn test yourself: take 20 grads from 2 years ago. How many have a salaried design title today?

If a school can't or won't give you clear, recent, in‑field, all‑graduates numbers — that's your answer.

Methodology & honesty

• Source: Ironhack's own alumni directory, track=ux, all 10 campuses, n=2,126, scraped July 2026.

• Everything is aggregate and anonymous; raw personal data is not published.

• These are Ironhack's own status labels, taken at face value. Not an allegation of fraud — a comparison between a marketing impression and the documented outcome.

• Limitations: it's a snapshot; recent cohorts skew "searching" (addressed with a mature‑cohort cut and a year‑by‑year table); it covers the UX/UI track only.

• The capture is hashed and RFC 3161 time‑stamped, so it can't be quietly rewritten later, and the raw data can be provided to legitimate oversight/funding bodies on request.

Full report, charts, per‑campus and per‑year breakdowns, and reproduction scripts: github.com/donneepublique/ironhack-ux-outcomes

I'd genuinely love for someone to run the same analysis on other bootcamps — the method is in the repo.