One hire, seven pieces of work
Every example covers the same fictional role, a Senior Customer Success Manager in Manchester, hybrid, permanent, at £60,000. Follow one hire from what it costs and what it should pay, through the specification and the advert, to the interview. No account needed.
See the full cost of a £60,000 hire
Salary, employer contributions, agency fee and one-off setup costs, separated so a budget conversation can start from a real number.
See the exampleFind out whether £60,000 is the right number
The market band for one role, where the proposed salary sits inside it, and what the next rung up pays.
See the exampleSee which of your people are underpaid before they tell you
A fictional twelve-person team benchmarked in one upload, sorted by how far each salary sits from its market median.
See the exampleFind the problems in a job spec before you repost it
An intentionally imperfect specification, the issues found in it, the exact wording each issue refers to, and what to write instead.
See the exampleTurn a hiring manager's brief into a usable specification
The short brief that went in, and the structured specification that came back, so you can see exactly what the agent added and what it only reorganised.
See the exampleSee the difference between a job spec and a job advert
The same role written twice, once as an internal specification, once as something a candidate might actually respond to.
See the exampleGet interviewers agreeing what a strong answer looks like
Role-specific questions, follow-up probes and observable scoring criteria, with a fictional answer scored against the rubric so you can see how it is applied.
See the exampleSaved examples, reviewed 28 September 2026. All data is fictional.
What these pages are, and what is fictional about them
Taligent is a set of hiring tools for HR and talent teams. Rather than describe what they produce, these pages show it: the inputs each agent was given, the output it returned, and the assumptions behind it. Nothing is summarised or trimmed for presentation, if a recommendation is weak or an assumption is doing a lot of work, you can see that for yourself before you decide whether the tool is worth your time.
The scenario is fictional and so is the employer. The two benchmarking examples are saved sample reports: they show the shape of the agent’s output with illustrative figures, and they are not a live market read for Manchester today. A real run benchmarks your role against current data at the moment you run it, and reports its own confidence in the answer.
The recruitment cost figures are the one exception to “saved example”: they are calculated live by the same code the product runs, so they cannot drift away from the tool they demonstrate.