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You'll now receive R7 research findings directly in your inbox — what we are learning about talent as a measurable supply chain, drawn from a 300-organisation empirical study and 200+ enterprise implementations across APAC.
What happens next
No noise. Findings, as they hold up.
01
Research as it lands
Findings from the 300-organisation study as they are validated — not press releases, and not before the evidence supports them.
02
The thinking behind it
How the framework is built and where it is being tested. The reasoning, including the parts still being worked out.
03
Occasional, not constant
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While you wait
Three places worth starting.
R7
The Framework
Seven stages of the talent supply chain, four measurement levels, and the two numbers a board can run on.
HL
Human Line
The boundary between the work that moves to an AI or robotic agent and the work that must stay human.
HTRF
Human-to-Role Fitment
Predicting how well a specific person will perform in a specific role, before they are hired.
Explore the rest
The whole framework, in the open.
Applications
Four field-tested applications: ROI, Health Check, HRTech Selection and AI Navigator.
How it works
The deployment sequence, from role fingerprinting to recruit-rate alignment.
Science
SF34 — the 34 universal skill families behind the predictive engine.
Research
The empirical foundation, validated through a 300-organisation study.
Story
How R7 was built: 17 years and 200+ enterprise implementations across APAC.
Glossary
Every term in the R7 canon, defined once and used consistently.
