Shorter than research, more opinionated than a press release. Working notes from the team on what we’re seeing across 110,000 employers and 1.1 million candidates — AI in hiring, fairness in practice, schools engagement that actually works, and the occasional bit of constructive disagreement with each other.
Priya Sharma revisits the bullish AI-in-hiring predictions we made in 2023, scores ourselves honestly against what actually happened, and lays out the four things we’d tell a head of early careers on day one of 2026. Mostly an exercise in eating our own dog food.
We ran a quiet experiment on TTP’s own hiring: applications without a CV. Six months in, three useful surprises and one thing we didn’t expect.
How IWX programmes engage every learner, not just those already digitally confident. With real completion-rate data across 38 employer cohorts and what moved the numbers.
The 4-fifths rule, explained without the jargon. What it actually checks for, what it doesn’t catch, and how to apply it to a live cohort without a stats degree.
Take-home tests were once useful. AI broke them. We stopped using them in our own hiring in 2024, and we don’t recommend them to clients. Here’s why, and what we replaced them with.
Looking at 18,000 early-career hires, the strongest predictor of 24-month retention isn’t starting salary, brand or even line manager. It’s a defined, deliberate first-90-days plan.
The Gatsby benchmarks are now ten years old. Working with 800+ schools, here’s which ones correlate with progression — and which have become useful theatre.
The pre-flight list our Assessment Science team runs before signing off any client cohort. Use it as-is, or adapt it to your own context. Print and laminate at your discretion.
A short-form take on the working paper we filed with HMT. The levy worked; the levy fund routing didn’t. Here’s a fix that doesn’t require new legislation.
Highlights from our March 2026 Roundtable. The headline: rejection is now the heaviest emotional load on TA teams — and there are concrete, practical things employers can do about it.
Articles on this page are written by the people doing the work, not a content team in another building. Every piece is by-lined; every author has practitioner credentials in the topic they’re writing about.
If our name is on it, we’re willing to defend it at a conference.
Most of the team write occasionally. David Allison tends to write on policy and the AI-on-both-sides problem. Ada Olatunji on assessment science and fairness. Priya Sharma on product and what employers actually need. Tom Reeves on schools, engagement and the long-term progression data. The rest of the team chip in when they’ve worked on something worth writing about.
For candidates →