The Conversion Rate Your Board Has Never Seen
How we measure organizational conversion efficiency. The four-layer framework, the multiplicative math, and why the number is always lower than anyone expects.
Your board sees revenue, burn rate, and customer LTV down to the decimal. But the largest line item on your P&L, your people, has no conversion metric. No efficiency gauge. No signal-to-noise ratio. We built the instruments that make the invisible visible.
Each card is a problem, the instrument we deployed, and the outcome. Scroll to explore.
Enter your numbers. See what the instrument panel reveals.
These emerged from deploying instruments inside organizations where standard HR frameworks produced no answers. They are not theories. They are field measurements.
Standard interviews yield r = 0.2 predictive validity. That confidence interval would be rejected for any capital allocation of comparable size. Work-sample algorithms achieve r = 0.55, cutting false positives by 40%. The bottleneck was never bad judgment. It was the absence of a measurement instrument. TALOS is that instrument.
85% of restructurings fail. The standard diagnosis: change resistance, culture, leadership buy-in. The actual cause: the nodes controlling information flow are invisible to org charts. ONA identifies bridge nodes before surgery, not after the patient is on the table. Companies that restructure without topology mapping are operating blind.
Technical skills in AI roles have a measurable half-life of approximately 18 months. Static L&D cannot keep pace. The architecture that works: a just-in-time learning mesh where competency refresh rate is engineered to exceed decay rate. Achieved at 200% overshoot. The question is not what to teach. It is how fast your system metabolizes new knowledge relative to obsolescence.
We do not have service lines. We have one thesis and deploy it at the depth the problem requires.
We don't run engagement surveys. We don't build employer brands. We don't optimize careers pages. We don't deliver workshops. If a workshop can solve your problem, you don't need us.
Moonshot labs. State energy enterprises. Unicorn SaaS. Global luxury. Sports franchises. The physics hold because the underlying problem is universal.
Field reports, frameworks, and findings from deploying instruments where conventional HR had no answers.
How we measure organizational conversion efficiency. The four-layer framework, the multiplicative math, and why the number is always lower than anyone expects.
The statistical case against interview-based selection. What changes when you replace intuition with calibrated instruments.
How ONA reveals the invisible information infrastructure, and why restructuring without mapping it first fails 85% of the time.
Modeling competency decay in AI roles. The JIT learning architecture that outruns the curve at 200% overshoot.
Why most mergers destroy value through cultural entropy. The protocol that achieved zero operational downtime on $21.3B.
Incentive compatibility around project termination. $40M+ saved. What it reveals about the economics of organizational honesty.
For boards, founders, PE partners, and operators who suspect the problem isn't the people. It's the system between the people and the work.
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