Methodology
How Cognicit turns assessment data into workforce insights.
Workforce tools ask for a lot of trust. This page says plainly what Cognicit measures, how it measures it, and what it does not claim.
What the assessment measures
Each of the 200+ role assessments presents realistic work scenarios drawn from the decisions that position actually requires. Responses are scored for three things: work style (Big Five profiles calibrated to U.S. Department of Labor norms, anchored to the O*NET occupational database), decision patterns (twelve decision-making patterns scored against each role's risk profile, including common bias patterns), and interaction style (how they collaborate and handle conflict). Scoring compares response patterns against role-demand profiles — it does not rank people against each other.
How role profiles are built
Role-demand profiles are constructed from structured analysis of what each position requires: the decisions made, the stakes involved, the pace, and the collaboration load. The 200+ roles cover hospitals, health plans, and managed care — clinical, operational, and administrative positions.
The missing layer. Engagement surveys measure a state. Personality traits are the antecedent that generates and sustains that state. Measuring one without the other is like monitoring a patient’s blood pressure without understanding their cardiovascular risk profile. Cognicit adds the missing layer: O*NET-anchored scores, job fit, and decision patterns, joined at the work unit with the outcomes leadership already tracks.
Three layers, one picture
Cognicit does not replace your measurement stack. It completes it.
- Layer 1 — Cognicit.O*NET-anchored Big Five scores, job fit, and decision patterns: the stable traits that generate engagement.
- Layer 2 — your platform.Your existing surveys stay in place, measuring the current worker–organization connection.
- Layer 3 — outcomes.Patient experience and quality scores — CAHPS, HEDIS, HOS — connect to workforce data, tying investment to reimbursement.
Everything joins at the work unit, from individual profiles to CAHPS results.
How outputs are produced
- Individual profiles map a person's patterns to their role's demands and generate a development roadmap.
- Team views aggregate patterns to show mix, gaps, and concentration of risk — never individual scores out of context.
- CAHPS mapping links role-level decision patterns to the patient-experience domains each role influences.
- Growth plans are generated from the individual's own patterns, not assigned from a catalog.
What we claim, and what we do not
Cognicit is preparing for first deployment. We promise what we can show: transparent methods and a clear line from job fit to the scores behind reimbursement. We do not publish customer outcome statistics we cannot independently verify, and we do not claim the assessment predicts individual clinical performance. Findings and inference are labeled as such in everything we publish.
Where the science stands. Personality’s link to engagement is well established (Fukuzaki & Iwata, 2022; Young et al., 2018); engagement’s link to patient safety is consistent but modest (Janes et al., 2021). Cognitive biases are associated with up to 77% of studied diagnostic errors (Saposnik et al., 2016), and stress-sensitive staff showed six times the odds of burnout (Van der Wal et al., 2016). The full chain from traits to patient experience scores has not yet been proven in a single study. Cognicit’s architecture is built to close that gap. Statistics appear as reported in the sources; most studies are cross-sectional.
The workforce’s own reports predict outcomes that executive metrics miss — the 2026 Penn Nursing study of 410 hospitals is one recent example (Penn Nursing, October 2026).
The research behind the method
Full APA 7 citations available on request.
- Fukuzaki & Iwata (2022), J Occup Health 64(1), e12317. doi:10.1002/1348-9585.12317
- Janes et al. (2021), J Patient Saf 17(3), 207–216. doi:10.1097/PTS.0000000000000592
- NSI Nursing Solutions (2025), 2025 NSI National Health Care Retention & RN Staffing Report.
- Saposnik et al. (2016), BMC Med Inform Decis Mak 16, 138. doi:10.1186/s12911-016-0377-1
- Van der Wal et al. (2016), Curr Opin Anaesthesiol 29(3), 392–397. doi:10.1097/ACO.0000000000000324
- Young et al. (2018), J Organ Behav 39(10), 1330–1346. doi:10.1002/job.2303
Some sources are older than five years; they are foundational and have no recent equivalent.
Your people's data stays yours
Assessment data is used to generate the individual's profile and the aggregate views their organization licenses. Individual responses are never sold. Access is role-based: employees see their own results, managers see team patterns. Full data practices are in the privacy policy.
What healthcare leaders ask us.
Is Cognicit a medical device or a clinical tool?
No. It is a workforce intelligence platform. It does not diagnose, treat, or make clinical decisions.
Can the assessment be used to terminate employees?
It is designed for placement, development, and team design — not as a termination instrument. We advise customers to use it that way.
How often should people retake it?
Twice a year. Matched alternate forms allow re-assessment without practice effects, with additional retakes when someone changes roles significantly.
Give your leaders the power to act, not react.
A 30-minute walkthrough of the platform, using your roles and your questions.