COGNICIT

Healthcare can't predict patient satisfaction failures. Cognicit can.

Healthcare Wastes $29B Annually on Solutions That Predict Nothing

26% of federal healthcare funding tied to patient satisfaction. Zero tools predict which employees will damage scores.

26%
of federal healthcare funding tied directly to patient satisfaction scores
$1-3M
revenue increase per single-point CAHPS improvement
Zero
existing solutions predict cognitive patterns that damage satisfaction
$29B
wasted annually on reactive training that produces no measurable results

What competitors couldn't build, Cognicit did.

First-in-Category Predictive AI

Cognicit analyzes personality profiles, occupational tasks, and 12 cognitive biases to predict which employees will succeed in patient-facing roles—before satisfaction scores drop.

90 min
Annual assessment time vs. 133 hours of traditional training
209
Healthcare positions mapped with role-specific cognitive risk profiles
200K+
Validated surveys powering our proprietary algorithms

From Guesswork to Prediction in 90 Minutes

Three steps. Twice annually. Actionable intelligence before satisfaction scores drop.

1
📊

Assess Workforce

Employees complete 45-minute assessment measuring personality (Big Five), cognitive biases, and decision-making patterns. Conducted twice annually.

2
🧠

AI Analysis

Proprietary algorithms correlate profiles against 209 position requirements, calculating cognitive risk and patient satisfaction impact for each role.

3
🎯

Act on Insights

Receive 5-star job fit ratings, visual risk profiles by department, and AI-generated 90-day development plans targeting dangerous cognitive patterns.

209 Positions. 12 Biases. 200K Validated Assessments.

50+
Years Combined Team Experience
200K+
Validated Assessments in Research Database
209
Healthcare Positions Mapped with Risk Profiles
12
Cognitive Biases Calibrated to Patient Impact

Built on Decades of Research Excellence

Our founding team brings proven expertise from successfully delivering assessment platforms and research projects for the US Department of Education, Gates Foundation, MacArthur Foundation, IARPA, OECD, US Army Research Institute, and National Science Foundation—expertise we're now applying to healthcare workforce intelligence.

Five Competitors. Five Fatal Flaws. Zero Predictive Capability.

Training providers react after damage. Consultants provide one-time advice. Analytics platforms lack healthcare context. Assessment tools miss cognitive biases. Quality software only measures outcomes.

Patient Experience Training

REACTIVE

Generic training content delivered after problems occur. No predictive capability or personalization.

Market Size: ~$8B
Fatal Flaw: Zero measurable CAHPS improvement

Patient Experience Consulting

SERVICES

One-time assessments and recommendations. Labor-intensive, expensive, no ongoing intelligence.

Market Size: ~$12B
Fatal Flaw: Requires continuous re-engagement

Workforce Analytics Platforms

GENERIC

General HR analytics for corporate environments. Lack healthcare-specific cognitive bias assessment.

Market Size: ~$5B (healthcare subset)
Fatal Flaw: No CAHPS correlation or prediction

Assessment & Screening Tools

PARTIAL

Pre-employment personality tests. No position-specific risk profiling or cognitive bias detection.

Market Size: ~$2B (healthcare)
Fatal Flaw: Generic frameworks without healthcare context

Quality Improvement Software

METRICS ONLY

CAHPS data collection and reporting. Excellent at measuring outcomes but provide zero workforce intelligence about root causes or prevention.

Market Size: ~$2B
Fatal Flaw: No predictive capability

The White Space Cognicit Occupies

No player bridges predictive AI, cognitive science depth, healthcare position specificity, and validated CAHPS correlation. We uniquely combine all five capabilities competitors address separately, creating a new category: Predictive Healthcare Workforce Intelligence.

Why Competitors Can't Catch Up

Capability
Cognicit
Training Providers
Workforce Analytics
Predictive vs Reactive
Cognitive Bias Assessment (12 Biases)
Position-Specific Risk (209 Roles)
Validated CAHPS Correlation
AI-Powered Personalization
Partial
Time to Value
90 min
133 hrs
Varies

Three Defensible Moats

209
Position database requiring years to replicate
200K+
Validated data creating statistical confidence
Network
Effects: Each deployment improves algorithms

Contact Us in Transforming Healthcare

Healthcare organizations waste $29 billion annually on reactive solutions that don't work. We're the first company with the technology, data, and expertise to predict workforce risks before they impact patients and revenue.

Our Mission

Increase healthcare patient satisfaction, effectiveness, and profitability through predictive organizational intelligence—improving care for millions while driving measurable financial outcomes.