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Measurement

How the methodology works.

Measurement is the moat. Levos uses controlled cohort analysis with confidence scoring, applied to behavioral signals from the tools your workforce already uses. Every score has a confidence rating. Every signal cites its source. The methodology is open. The platform operationalizes it.

Behavior, Not Opinion

We derive measurement from observed behavior in the tools your workforce already uses. No surveys. No self-reports. No annual review prose. Behavior is real. Opinion is downstream of behavior.

Confidence, Not Certainty

Every score has a confidence rating. Every signal cites its source. We tell you what we know, what we are inferring, and what we cannot tell you yet. Reports that claim certainty are reports that hide their assumptions.

Transparency, Not Opacity

The methodology is documented. The signal sources are listed. The aggregation rules are open. Levos is not a black box. It is a platform that operationalizes a documented standard.

How the methodology works.

01

Connect

Connect M365, GitHub, Salesforce, and your AI tools. OAuth, no agents installed. Data flows through customer-authorized connections only.

02

Signal Extraction

Levos pulls behavioral signals into the six signal families. Every signal is timestamped, sourced, and assigned a data freshness score.

03

Controlled Cohort Analysis

We compare adopting teams to non-adopting teams, controlling for tenure, role, and tool stack. We disclose the limits of this approach openly. We do not claim full causal attribution.

04

AI Impact Report

Report generates with confidence scores, source citations, and methodology references. Export as PDF, push to M365, share to Slack, or upload to Salesforce.

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The AI Impact Methodology document.

A document covering the framework for measuring AI workforce ROI: signal families, controlled cohort analysis, confidence scoring, sector benchmarks.

Methodology
AI Impact Measurement Framework
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