For your team
For your career
Features
Free Tools · For your team
Free Tools · For your career
11 articles in People Analytics: practical guidance for keeping your best people.
The written, async counterpart to the exit interview. A guide to designing an employee exit survey, a usable bank of questions and examples, a copyable template, and how to turn the results into retention change.
The 9 box grid maps performance against potential to sort your team into nine groups - and tells you what to do with each. Here's how to build one, run a fair calibration, and avoid the traps.
A plain-English guide to staff turnover for UK teams: what it means, how to calculate your staff turnover rate with a worked example, what 'good' looks like, and the levers that actually bring it down.
Attrition rate explained in plain English: the formula, worked examples, how attrition differs from turnover, what a 'good' rate looks like with current BLS data, and the levers that actually reduce it.
Everything eNPS: the one question, the formula, the scale, common score bands, how to run the survey well - and the honest limits of eNPS as a retention signal.
The retention metrics and KPIs that actually matter - what each one measures, how to read them together, and why leading indicators beat lagging ones for keeping good people.
A categorized bank of 35+ exit interview questions, best practices for running the conversation, and a practical framework for turning the answers into real retention change.
A ready-to-use exit interview template you can copy today, with rating scales and open-response sections, plus a practical guide to running it and turning answers into themes.
A clear breakdown of what employee turnover really costs, a simple framework and worked example to estimate your own number, and practical ways to bring it down.
The exact employee turnover rate formula, a fully worked example, the difference between voluntary and regrettable turnover, and practical ways to bring your number down.
A people-analytics playbook for predicting employee turnover early: the leading indicators that matter, how to combine quantitative and qualitative signals, and how to act on predictions ethically.
