Who receives Cognicit insights?

Employees receive personal impact and development guidance, managers see team-level risk and action plans, and directors receive strategic workforce and revenue-exposure views.

Our vision

Transform Healthcare Workforce Intelligence with Predictive AI.

Q: What does the Cognicit assessment measure?

The assessment measures job-task perception, work style, and decision-making patterns, then relates those signals to healthcare role requirements and patient-experience domains.

Q: How long does the Cognicit assessment take?

Employees complete the assessment in about 45 minutes. Cognicit is designed to be used twice annually so organizations can monitor change and act early.

Healthcare cannot predict patient satisfaction failures. Cognicit can—by connecting how people work and decide to role fit, care experience, and practical action.

Explore the platform Talk with us

Signal to action12

192Healthcare positions with calibrated, role-specific profiles

12Decision-making biases mapped by the platform

200K+Validated assessments supporting proprietary algorithms

The problem

Healthcare wastes $29B annually on solutions that predict nothing.

Patient-experience scores influence funding and reputation, yet most workforce interventions are reactive. Training follows the warning signs instead of identifying who needs support and where.

26%

of federal healthcare funding is tied directly to patient-satisfaction scores.

$1–3M

potential revenue increase associated with each additional patient-satisfaction star.

Zero

existing solutions predict staff decision patterns that can damage satisfaction.

$29B

spent annually on reactive training without measurable results, according to Cognicit’s market analysis.

A single star can separate two very different operating pictures.

10 minutes apart

3-star comparison

Westchester Medical Center, NY

652 beds · 2024 revenue $3B

15.7%Claims denial

12%Staff turnover

57%Would recommend

$913Profit per bed

4-star comparison

Northern Westchester Hospital, NY

245 beds · 2024 revenue $18.6B

7%Claims denial

7.4%Staff turnover

82%Would recommend

$2,778Profit per bed

The solution

First-In-Category Predictive AI.

Cognicit brings healthcare context to workforce assessment. It connects occupational tasks, work styles, decision biases, and CAHPS care domains to show where performance is strong and where mitigation is needed.

Healthcare-specific role fit

Profiles are calibrated against the requirements of 192 healthcare positions rather than a generic personality model.

Patient-experience connection

Individual and team signals are related directly to CAHPS care domains so leaders can see potential patient impact.

Action before decline

Risk profiles and 90-day development plans turn assessment results into focused support before satisfaction scores fall.

One view from employee to director

Personal development, team mitigation, staffing strategy, and revenue exposure all share a common evidence base.

The innovation

From Guesswork to Prediction in 90 Minutes.

Run twice annually to establish a clear baseline, monitor change, and intervene early.

Assess the workforce

Employees complete an approximately 45-minute assessment covering job-task perception, work style, and decision-making patterns.

Analyze role-level risk

Proprietary algorithms compare each profile with calibrated position requirements and potential patient-satisfaction impact.

Act on the insight

Teams receive five-star job-fit ratings, visual risk profiles, and AI-enhanced 90-day development plans.

Role-based dashboards

The right view at every level.

Cognicit translates the same underlying intelligence into decisions employees, managers, and directors can use.

Personal impact profile

See individual job fit, connections to CAHPS domains, and a focused development roadmap.

Profile viewWork-style strengths

Care experienceCAHPS domain mapping

Next stepsDevelopment roadmap

View Employee Dashboard

Research foundation

192 Positions. 12 Decision-Making Biases. 200K Validated Assessments.

Cognicit’s founding team brings experience delivering assessment platforms and research projects for major public, philanthropic, and research institutions.

US Department of Education
Gates Foundation
MacArthur Foundation
IARPA
OECD
US Army Research Institute
National Science Foundation

50+Years of combined team experience

200K+Validated assessments in the database

192Healthcare job roles calibrated

12Decision-making biases mapped

The opportunity

$27B Market. Zero Direct Competition.

$27BTotal addressable patient-experience market

40,807Medicare-participating facilities

22MHealthcare workers

Value-based reimbursement is expanding. As financial outcomes depend more directly on patient experience, healthcare organizations need earlier and more actionable workforce signals.

United States$28B

Germany$12B

United Kingdom$8B

France$8B

Canada$7B

Australia$5.5B

Netherlands$2.5B

Sweden$1.8B

Cognicit’s current market view projects the global opportunity reaching $87B by 2030. The platform can adapt wherever patient-satisfaction measures influence healthcare performance.

Competitive landscape

Five Competitors. Five Fatal Flaws.

Existing tools collect, train, advise, or report. None combine healthcare-specific workforce patterns with predictive patient-experience insight.

Reactive

Patient-experience training

Generic training begins after problems occur, with no direct CAHPS prediction.

Reactive

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

Market Size~$8B

Large but fragmented market with no dominant player offering predictive capabilities

Fatal Flaw

Zero measurable CAHPS improvement

These solutions are reactive by design—training happens after satisfaction scores have already dropped. Without predictive AI or role-specific personalization, they cannot identify at-risk employees before problems manifest in patient surveys.

Why Cognicit Wins

Predictive AI identifies risks before CAHPS scores decline
Role-specific training based on 192 healthcare positions
Personalized to individual personality profiles and bias patterns
Proven correlation with patient satisfaction outcomes (R > 0.60)

Services

Patient-experience consulting

One-time, expensive assessments require repeated outside engagement.

Services

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

Market Size~$12B

High-margin consulting services but limited scalability due to labor-intensive delivery model

Fatal Flaw

Requires continuous re-engagement

These consultants deliver one-time assessments with static recommendations that become outdated within months. Without continuous workforce monitoring or predictive capabilities, healthcare organizations must pay for repeated engagements every time satisfaction scores decline. No ongoing intelligence, no automation, no scalability.

Why Cognicit Wins

Continuous monitoring vs. one-time snapshots—real-time workforce intelligence
Automated AI insights replace expensive consultant labor
Predictive alerts prevent problems instead of diagnosing them after failure
Single annual subscription vs. recurring $200K+ consulting engagements

Generic

Workforce analytics

General HR analysis lacks healthcare context and CAHPS correlation.

Generic

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

Market Size~$5B

Enterprise HR platforms designed for corporate environments, not healthcare-specific outcomes

Fatal Flaw

No CAHPS correlation or prediction

These platforms excel at general workforce metrics (turnover, engagement, productivity) but have zero understanding of healthcare-specific outcomes. They don't assess cognitive biases that affect patient care, can't predict CAHPS performance, and lack role-specific profiles for the 192 unique healthcare positions. Generic corporate analytics cannot address the specialized requirements of patient satisfaction improvement.

Why Cognicit Wins

Healthcare-specific AI trained on patient satisfaction data, not corporate HR metrics
Assesses 12 cognitive biases that directly impact patient care quality
192 role-specific profiles mapped to O*NET healthcare positions
Proven CAHPS correlation (R > 0.60) vs. generic engagement scores

Generic

Assessment tools

Pre-employment personality tests do not map healthcare-specific impact.

Generic

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

Market Size~$2B

Healthcare segment of broader corporate assessment market—general personality tests applied to healthcare

Fatal Flaw

Generic frameworks without healthcare context

These tools use one-size-fits-all personality frameworks designed for corporate hiring, not healthcare performance prediction. They cannot detect the 12 cognitive biases that impact patient care quality, lack correlation with CAHPS outcomes, and provide no position-specific risk profiling for the 192 unique healthcare roles. Pre-employment screening cannot replace continuous workforce intelligence and predictive monitoring of patient satisfaction impact.

Why Cognicit Wins

Built specifically for healthcare—not generic corporate personality tests
Continuous workforce monitoring vs. one-time pre-employment screening
Assesses 12 cognitive biases proven to affect patient satisfaction (R > 0.60)
192 role-specific risk profiles calibrated to healthcare position requirements

Partial

Quality-improvement tools

CAHPS collection and reporting describe the result without predicting workforce risk.

Partial

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

Market Size~$2B

Survey and feedback platforms focused on data collection and reporting, not predictive analytics

Fatal Flaw

No predictive capability

These platforms excel at measuring what already happened—collecting CAHPS surveys and generating reports after patient dissatisfaction has occurred. They provide zero workforce intelligence about which employees pose satisfaction risks, no cognitive bias assessment to identify root causes, and no predictive capability to prevent problems before they appear in quarterly survey results. Reactive reporting cannot replace proactive workforce intelligence.

Why Cognicit Wins

Predicts satisfaction problems before they appear in CAHPS surveys
Identifies which employees pose risks and why (12 cognitive bias patterns)
Proactive workforce intelligence vs. reactive outcome measurement
Actionable insights for prevention, not just historical performance reports

Frequently asked questions

What healthcare leaders need to know.

What does the Cognicit assessment measure?

It measures job-task perception, work style, and decision-making patterns, then connects those signals to healthcare role requirements and patient-experience domains.

How long does the assessment take?

Employees complete it in about 45 minutes. Cognicit is designed to be used twice annually so leaders can monitor change and act early.

How many healthcare roles are supported?

Cognicit has calibrated role-specific profiles for 192 healthcare positions.

Who receives the results?

Employees receive personal impact and development guidance. Managers see team-level risk and action plans. Directors receive strategic workforce, staffing, and revenue-exposure views.

How does Cognicit support CAHPS improvement?

The platform maps workforce patterns to CAHPS care domains, helping leaders focus mitigation and development before those patterns appear in lower satisfaction scores.

Give healthcare leaders the power to act, not react.

Cognicit’s mission is to improve patient satisfaction, organizational effectiveness, and profitability through predictive workforce intelligence.

Transform Healthcare Workforce Intelligence with Predictive AI.

Healthcare wastes $29B annually on solutions that predict nothing.

A single star can separate two very different operating pictures.

Westchester Medical Center, NY

Northern Westchester Hospital, NY

First-In-Category Predictive AI.

Healthcare-specific role fit

Patient-experience connection

Action before decline

One view from employee to director

From Guesswork to Prediction in 90 Minutes.

Assess the workforce

Analyze role-level risk

Act on the insight

The right view at every level.

Personal impact profile

Team risk and action

Strategic workforce intelligence

192 Positions. 12 Decision-Making Biases. 200K Validated Assessments.

$27B Market. Zero Direct Competition.

Five Competitors. Five Fatal Flaws.

Patient-experience training

Zero measurable CAHPS improvement

Patient-experience consulting

Requires continuous re-engagement

Workforce analytics

No CAHPS correlation or prediction

Assessment tools

Generic frameworks without healthcare context

Quality-improvement tools

No predictive capability

What healthcare leaders need to know.

Give healthcare leaders the power to act, not react.