A place for people analytics professionals.
Ideas, tools, and evidence — connecting research and application.
A practitioner home for people analytics — grounded guides, corpus, tools, and research on your data.
Every organization's situation and tool stack is unique — shaped by the work already done, the data you have, and the decisions you've already made.
PeopleAnalyst helps you move from a people-analytics question to a defensible next step: use the reference library to ground the method, run the relevant guide or framework tool, and bring the result into the work you already do. The methods are reusable because the questions recur, but the value is practical — better measures, clearer decisions, and capabilities you can call from your own tools and data.
Why this exists
People analytics shouldn’t require a big budget.
For most of its history, doing people analytics well has required having what most companies don’t: a large cross-functional specialist team and a platform that runs six figures a year. Everyone else — the single analyst, the team of two, the company without dedicated Data Engineering, BI, Statistics/Data Science, IT, I/O Psychology, HR Data, and consulting bench — has been left to produce the same results without the same resources.
Closing that gap is the whole point. The guides, the microservices, and the datasets bring those capabilities to every professional who wants them, at every size of company and in every industry. And they’re built to meet you where you already work — Excel, Power BI, Tableau, Python, the cloud — so the step from where you are to where you’re going is a short one.
The purpose underneath all of it is simple: to propagate people analytics broadly — to put it in the hands of everyone who does the work, not just the few who can afford it.
The library
Everything here is built on the field’s evidence, not opinions.
The writing, the tools, and the answers all trace back to a set of reference collections — each claim sourced to where it comes from.
Guide Library
Grounded how-to guides built from a field's canon, cited per claim.
Book Library
The reference corpus of people-analytics and adjacent works.
HR Metric Library
Defined metrics — what each measures, how it's computed, what it misses.
Survey Instrument Library
Validated scales and items, with their psychometric evidence.
Peer-Reviewed Research
The findings behind the claims — sourced, not summarized.
Featured essay
The Title Is Not the Job
Every workforce analysis starts by rebuilding the same missing object — a frame for what a job actually is. None of the rebuilds reconcile, which is why none of the answers do either.
Essay · People analytics · the job object · read the essay →
More essays
The Pay You Can't Explain
Ask to publish the pay data and you get a flinch before you get an argument. That flinch is the most useful diagnostic in compensation — it's an organization telling you its pay cannot currently be explained.
Moneyball Never Made It to Work
Twenty years of enterprise Moneyball has failed at one specific place — and the received diagnosis of where is wrong. It isn't that there's no outcome variable. It's that there's no agreed, consistent one framed in dollars.
An Occupation Is Not a Job
Forty-one of our jobs stand behind one federal occupation code, from entry level to principal, sharing one median. Occupation-level data answers occupation-level questions — and we keep asking it job-level ones.
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About the work
The work behind this community lives on its own sites. The argument, and who builds this, is on About.