The people analytics professional — peopleanalyst (customer)

show you understand their world

A people analytics professional — frequently a team of one or two — responsible for turning workforce data into decisions leaders will trust, without the bench or the platform the giants have.

make the pain concrete

Doing people analytics well has required a full cross-functional bench (data engineering, BI, statistics, I/O psychology, HR data, IT) and a platform that runs six figures a year. Most companies and most analysts have neither, and are expected to produce the same results without the same resources.

• — How it feels: You don't want to get it wrong, oversell a shaky finding, or be dismissed as 'just HR.' You want to know what's genuinely rigorous — and to be the person leaders trust with the people questions.
• — The cost of the status quo: You stay stuck between dashboards and opinions — guessing where the giants have evidence, and quietly dismissed for it.

the commercial insight that reframes it

Serious people analytics shouldn't belong only to the companies that can afford it. The science of measuring people is mostly settled and cheap to use; the only thing missing is access.

the desired outcome in their language

You answer the real questions about your workforce with evidence that holds up — and become the analyst leaders bring the hard questions to, without a big team or a six-figure platform.

the product path / mechanism

I built the function from zero at Google, Merck, and PetSmart, wrote the field's first book, and am the only person to have worked on three of its leading platforms (Visier, One Model, ZeroedIn). The services, the corpus engine, and the datasets here are those same capabilities — rebuilt to be reachable.

• — Read the thinking — a magazine that's methodology-first and honest about what the data can't do.
• — Run the capabilities on your own data — corpus-grounded services over API or MCP, where you already work: Excel, Power BI, Tableau, Python, the cloud.
• — Draw on the library — the field's canon, its metrics, its instruments, and the evidence, each claim traced to its source.

demo · case study · benchmark · ROI

The argument above is demonstrated end-to-end in a matching use case — Read the magazine. [Attach the specific proof: the paired situation, a metric, or a result.]

implementation · support · guarantees · security

I've done this work with the big budget and without it — and I know what it's like to be handed the people questions and expected to already have the answer. Start low-commitment: Read the magazine.

one low-friction action

See the capabilities you can run on your own data.