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HypoSTAT Research Workforce

DataForce

In development

A future coordination platform for verified research talent, training records, assignments, deployment and performance evidence.

The product direction

Bring workforce readiness into the project plan.

DataForce is intended to reduce fragmented recruitment and coordination across research projects. Its proposed design connects capability profiles with role requirements while keeping approval, safeguarding and human oversight explicit.

01

Verified profiles

Structured skills, geography, languages, training and assignment history with controlled verification.

02

Project matching

Compare study requirements with available talent without making automated hiring decisions.

03

Training records

Track onboarding, assessments, protocol acknowledgement and readiness by project.

04

Deployment oversight

Coordinate assignments, attendance, escalation and close-out evidence in one workflow.

Deployment view

Know who is ready, where they are assigned and what needs attention.

The planned workspace makes readiness and deployment status visible without reducing people to an opaque score.

Discuss workforce needs
Illustrative interface · sample data
Ready86
Assigned64
Actions09
Workflow

Verify, prepare, assign and learn.

Verify

Review identity, role evidence, consent and relevant qualifications.

Prepare

Deliver study-specific onboarding, checks and protocol acknowledgement.

Assign

Match approved people to locations and roles with manager review.

Close out

Record completion, feedback and reusable learning with fair access controls.

Human decisions stay human

A future matching feature should support coordinators, not make final employment decisions. Sensitive profile data will require clear consent, retention controls and role-based access before launch.

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