VetNebula provides a role‑based platform that streamlines veterinary feedback and competency development for learners, coaches, and program administrators. The system lets users create structured feedback requests, capture reflections, and track progress across EPAs, DOPs, competencies, and ITERs, offering visibility into individual and cohort advancement. By integrating feedback workflows with requirement tracking, VetNebula helps veterinary education programs maintain consistent, scalable assessment and measurable growth.
Funding
Funding not disclosed
Founders
Product
Problem
Veterinary education programs often struggle with inconsistent, ad‑hoc feedback processes, making it difficult to track learner reflections, coach assessments, and competency requirements such as EPAs, DOPs, and ITERs across cohorts and academic years.
Solution
VetNebula provides a role‑based SaaS platform that structures feedback requests, coach reviews, and requirement tracking within a single system. Learners can initiate feedback, record reflections, and view their progress against defined competencies. Coaches submit rubric‑aligned assessments with actionable comments, while program leaders monitor completion rates, engagement metrics, and progression trends by role, cohort, and year. The platform aligns educational workflows with operational needs, delivering visible, actionable data that supports consistent feedback culture and measurable competency growth.
Target Audience
Primary customers are veterinary schools, teaching hospitals, and residency programs that need to manage learner feedback, coach assessments, and competency tracking at scale.
Features
- Role‑specific dashboards for learners, coaches, and administrators to manage feedback cycles and competency tracking
- Structured feedback request workflow that captures learner reflections and routes them to assigned coaches
- Coach review interface with rubric‑based ratings, comment fields, and status tracking from draft to completed
- Real‑time visibility of EPAs, DOPs, competencies, and ITERs across individuals, cohorts, and academic years
- Progress analytics that aggregate completion rates, engagement levels, and competency attainment for program oversight
- Integration‑ready architecture designed to fit existing veterinary education and clinical workflows
- Data export and reporting tools to support accreditation and continuous improvement initiatives