Magazine · long-form
A working magazine for the principal-issues thesis, AI–human-interaction, and the methodology spine underneath PeopleAnalyst research and development. And an experiment in bi-directional adaptive learning.
Currently a small set of pieces, growing as the program does. Borrowing infrastructure (and editorial discipline) from Vela's magazine, oriented to a different topic domain.
CAMS
people analytics · organization measurement & data science
The activation framework, the conjunction problem, and the eight items that make it executable without a PhD.
Capability, Alignment, Motivation, Support — four conditions for consistent above-expectation performance, every one of them required. The case for the conjunction, the eight-item survey, and the thresholds that turn the index into action at the team level.
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NAV · Methodology
people analytics · organization measurement & data science
The C-suite metric that puts human capital and dollar outcomes on the same axis — what it does, what it doesn't, and why most people analytics functions don't have one.
A CHRO walks into a capital-allocation meeting without a number. NAV is the number — the single indexable KPI tying human-capital state to dollar outcomes, segment by segment. The math is simple; the discipline is in what NAV deliberately doesn't try to be.
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Case study · Compensation
organization measurement & data science · people analytics
A compensation cycle in three movements — and why distribution and payout are not the independent cost drivers most models treat them as.
Senior leaders need to set incentive-plan parameters before performance ratings exist. The naïve framing — multiply headcount by rate, compare to budget — misses the structural non-linearity. This is the case for scenario modeling against a fixed-vs-variable trade-off, Monte Carlo simulation that surfaces the dispersion the deterministic model can't, and regression surrogate calculators with explicit interaction terms.
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Architecture · Cross-portfolio
AI–human interaction · organization measurement & data science
Architectural decisions for solo-operator portfolios are recognition moves, not menu-picks.
Most architectural-decision writing reads like menu-picking — multi-tenant vs. monorepo vs. shared-package vs. API service. That framing imports an evaluation done at team scale. The right move at solo cadence is to derive the architecture from objectives and constraints specific to your situation — and to recognize the pattern your products are already trying to converge on.
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Methodology · principia
people analytics · organization measurement & data science
Rapid Collaborative Impact (RCI), the load-bearing set, and why most organizations cannot do people analytics — even though it has been demonstrably valuable for two decades.
Most organizations cannot do people analytics — not for lack of data, but for lack of methodology. The field has stayed stuck at a few elite organizations because most attempts copy Google's *outputs* without the underlying four-S capability that produced them. The principal-issues thesis names the load-bearing set, fast.
Read · by Mike West →