GenAI CAPABILITY PULSE
A GenAI capability assessment for non-technical teams
Measure real capability across adoption, verification, data handling, and task framing. Reported at the team level so you can target enablement where it matters most.
Pair with Essentials to act on what you find.
The challenge
You can’t improve what you can’t see
Most organizations invest in GenAI tools and training without knowing where their teams actually stand.
No visibility into real behavior
Usage dashboards show logins and queries, not whether people can produce reliable, shareable work. Without evidence-based measurement, investment decisions are based on assumptions.
Self-reported confidence misleads
Surveys and self-assessments overstate readiness. Real gaps in verification, data handling, and task framing stay hidden until errors surface in high-stakes moments.
No way to target what matters
Without a diagnostic baseline, every team gets the same training. Budget is spent on skills some teams already have, while the gaps that carry the most risk go unaddressed.
Sample output
What you receive
A GenAI capability baseline across four reporting areas, plus an enablement action plan to guide training assignment and workflow reinforcement.
Capability by Role
GenAI capability scores by primary role, showing whether gaps are function-specific or organization-wide and where to focus first.
Enablement Profile
Error patterns by role mapped to three enablement streams: Data Handling, Verification, and Prompting & Task Framing, so you can tailor interventions by function.
| Error Type | |||||
|---|---|---|---|---|---|
| Role | Oracle Truster | Tangential | Passive Prompter | Data Leaker | No Error |
| Customer Success (n=17) | 47% | 12% | 18% | 12% | 12% |
| Finance (n=11) | 9% | 27% | 36% | 18% | 9% |
| HR / People (n=42) | 31% | 14% | 24% | 10% | 21% |
| Marketing (n=19) | 37% | 16% | 21% | — | 26% |
| Operations (n=8) | 75% | 13% | — | 13% | — |
| Product / Design (n=6) | 17% | 50% | 33% | — | — |
| Sales (n=7) | 57% | 14% | 14% | — | 14% |
| Strategy / PMO (n=10) | 50% | 10% | — | 20% | 20% |
Confidence vs. Competence
A confidence-competence matrix that reveals who is overconfident about their GenAI skills, the group most likely to miss errors and least likely to seek help.
23.5%
Overconfident
n=36
High self-confidence, low actual capability. Highest risk — most Verification and Data Handling errors.
33.3%
Capable
n=51
Confident and competent. Lowest error rates. The benchmark group.
25.5%
Emerging
n=39
Low confidence, low capability. Needs foundational enablement.
17.6%
Underconfident
n=27
Low confidence, but reasonable capability. May underuse GenAI.
Risk by Profile
Verification and data handling error rates by confidence profile, showing where overconfidence translates directly into operational risk.
Skill Gap Priority
The most common skill gap across all respondents ranked by dimension, so you know which capability to prioritize in enablement design.
Sample output
What you receive
A GenAI capability baseline across four reporting areas, plus an enablement action plan to guide training assignment and workflow reinforcement.
GenAI capability scores by primary role, showing whether gaps are function-specific or organization-wide and where to focus first.
What we measure
Five capability dimensions
The assessment covers the skills that matter most for safe, effective GenAI use in daily work.
Prompting & Task Framing
How well teams structure requests, provide context, and define constraints for GenAI tools.
Verification & Validation
Whether outputs are checked for accuracy, hallucinations, and completeness before use.
Data Handling
Awareness and habits around sensitive data handling when using GenAI tools.
Ethical & Responsible Use
Understanding of bias, attribution, and organizational policies for GenAI.
Workflow & Audience
How well GenAI outputs are adapted to the intended audience and integrated into real workflows.
How it works
Administer → Analyze → Act
From assessment to action plan in 2 weeks.
Administer
15–20 min online
Team members complete a short, confidential online assessment covering all five capability dimensions.
Analyze
Cohort patterns
We aggregate results at the team level to identify patterns, strengths, and reliability hotspots.
Act
Action plan readout
Leaders receive a prioritized action plan with clear next steps for enablement and workflow improvement.
Common questions
What leaders typically ask before running a Pulse.
No. The Pulse reports at the team and cohort level only. Individual responses are confidential and never shared with managers or HR.
All data is collected securely and processed in aggregate. We follow enterprise-grade data handling practices and can work within your organization's compliance requirements.
No. The Pulse is completely tool-agnostic. It measures capability and behaviors, not familiarity with any particular GenAI product.
The online assessment takes 15–20 minutes per person. The full cycle from launch to action plan readout is typically 2 weeks.
A capability snapshot across four reporting areas — drawing on all five assessed dimensions — plus a prioritized action plan with recommended next steps for enablement.
Contact us
Get a GenAI capability baseline + enablement action plan for your organization.