Six signal families. One complete picture of how work actually happens.
Levos derives six families of behavioral signals from the tools your workforce already uses. Every signal is scored, sourced, and auditable. Every score has a confidence rating. No self-reports. No surveys. Just real work.
Measure how AI is reshaping your workforce.
Every CFO is asking the same question: Is our AI investment actually working? Most platforms cannot answer it. They can show you adoption rates. They cannot show you contribution to outcomes. AI Impact is our differentiator.
We measure how AI tools are reshaping workforce performance, not just how often people log into them. For any outcome, you can see what percent was AI-assisted versus human-driven.
Explore AI Impact in depth →What We Measure
- Adoption depth and frequency for every AI tool (ChatGPT, Claude, Copilot, Gemini, custom agents)
- Output correlation: does AI usage correlate with measurable performance lift?
- Power user vs casual user breakdown by team and role
- AI usage correlation with outcomes: which teams using AI are showing measurable productivity lift, with confidence scoring, compared to non-adopting teams on equivalent work.
- Time savings, quality improvements, and rework reductions tied to AI tool usage
Decisions It Informs
Which AI tools deliver measurable ROI? Which licenses to renew, which to cut?
Which teams need more AI enablement training?
Which licenses to renew, which to cut, where to expand?
Who on my team is using AI effectively, and who needs help?
Five more families.
One complete picture.
Each family captures a distinct dimension of how work actually gets done. Together they compose a full view of every person in your organization.
Activity
How people communicate, collaborate, and engage.
Communication patterns, meeting frequency and quality, response times, working hours, collaboration depth, and engagement signals.
Activity is not a productivity metric on its own. Activity is context. High activity with low quality is noise. Low activity with high quality is focus.
What We Measure
- Communication patterns and response time distributions
- Meeting frequency, quality signals, and participation depth
- Working hours distribution and after-hours signals
- Cross-team collaboration depth and network breadth
Decisions It Informs
Is this team collaborating effectively or burning out on meetings?
Where is meeting fatigue degrading performance?
Are reps spending time on the right activities?
Quality
Output quality from real artifacts, not opinion.
Code review feedback, document revision patterns, customer satisfaction signals, rework rates, error rates, and peer review outcomes.
Quality is derived from actual work product, not from peer opinion or annual review prose.
Rework rate up 40% suggests skills gap or spec clarity issue. Recommend: pair programming or spec review session before next sprint.
What We Measure
- Code review feedback patterns and turnaround time
- Document revision patterns and rework rates
- Customer satisfaction signals and error rates
- Peer review outcomes from actual artifacts
Decisions It Informs
Is code review feedback consistent across the team?
Where is quality declining as a leading indicator of attrition?
Which proposals win deals?
Delivery
Are people shipping what they committed to?
Sprint velocity, ticket completion rates, deadline adherence, project shipping cadence, scope creep, and delivery predictability.
Delivery is the most direct measure of whether commitments translate into outcomes.
What We Measure
- Sprint velocity and ticket completion rates
- Deadline adherence and delivery predictability scores
- Project shipping cadence and scope creep patterns
- Deal close rates and sales deliverable completion
Decisions It Informs
Which team members are reliable, which are stretched too thin?
Are sales deliverables being completed on schedule?
Is engineering hitting its committed roadmap?
Revenue
Pipeline, deals, and customer expansion in real time.
Pipeline progression, deal velocity, quota attainment, customer expansion signals, churn risk indicators, and rep productivity.
Revenue is a CRO and CFO joint responsibility. Levos surfaces both views from the same underlying signals.
What We Measure
- Pipeline progression and deal velocity signals
- Quota attainment and forecast accuracy patterns
- Customer expansion signals and churn risk indicators
- Rep productivity and activity-to-outcome correlation
Decisions It Informs
Which reps are pipeline carriers, which are pipeline burners?
What is our revenue per rep trend and forecast reliability?
Which reps need coaching versus replacement?
OKR Alignment
Are people working on what matters?
Objective progress tracking, key result completion rates, strategic alignment between individual contribution and company priorities, and cross-team OKR dependencies.
OKR Alignment surfaces the gap between strategy and execution before quarterly reviews.
What We Measure
- Objective progress tracking and key result completion rates
- Strategic alignment between individual contribution and company priorities
- Cross-team OKR dependencies and blockers
- Alignment scores between stated priorities and actual work activity
Decisions It Informs
Is execution aligned with strategy before the quarter closes?
Which team members are working on the right priorities?
Where is strategic alignment breaking down across the org?
From raw signals to actionable intelligence.
Each signal is normalized, scored, and assigned a confidence rating based on data freshness, source quality, and pattern strength. Signals combine into family-level scores. Family scores combine into persona-level intelligence. Intelligence becomes decisions through LEV.
Every layer is auditable. Every score cites its source. We use controlled cohort analysis, not black-box attribution.
See how LEV turns signals into decisions →Raw behavioral signals
Pulled via OAuth from 30+ connected tools. Timestamped, sourced, freshness-rated.
Family-level scores with confidence
Signals normalize into six family scores. Each score carries a confidence rating and source citation.
Persona-level intelligence
Family scores surface as calibrated views for CEO, CHRO, CFO, CRO, manager, and employee. Same truth, different context.
Decisions via LEV
LEV surfaces bounded-choice decisions. Every action becomes a new signal that improves future recommendations.
Ready to see
your workforce through six signal families?
Request a Demo and we will set up a guided demo with sample data.
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Manager 
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AI Ops 