Turn every learner into a teacher. Scale skill development through peer-to-peer knowledge flow.
The most effective workforce development programs are multilateral and collaborative. Turbine's distributed upskilling framework captures expertise as it's shared, turning informal peer learning into structured, scalable training.

Bidirectional learning flow multiplies skill retention and knowledge capture
Why distributed upskilling outperforms traditional top-down training models.
Research shows that people retain knowledge better when they teach it to others. Distributed upskilling turns every learner into a potential teacher, creating a multiplicative effect on skill retention.
Based on the "protégé effect" documented in cognitive science research
Experienced-based peer mentors offer perspectives that formal instructors cannot. They speak from recent, relevant experience and understand the day-to-day challenges learners face.
The most sustainable workforce development programs resemble consortium models—employers, training providers, and workers share responsibility and benefit from coordinated upskilling.
Traditional models push knowledge down from experts. Distributed upskilling enables bidirectional flow—field workers contribute insights that improve training for everyone.

Cognitive science demonstrates that explaining concepts to others deepens understanding and retention—a phenomenon called the "protégé effect." When learners know they'll need to teach what they've learned, they process information more deeply and organize it more effectively.
Distributed upskilling operationalizes this insight. Turbine captures the teaching moments—through VELA voice logs, peer documentation, and mentorship records—and transforms them into structured knowledge that scales across the organization.
Every Turbine module contributes to capturing and scaling peer knowledge.
Documented results from organizations implementing distributed upskilling principles.
Learners who teach retain skills longer than passive recipients
Peer mentors accelerate practical skill acquisition
Field expertise that previously walked out the door stays documented
Peer learning creates ownership and connection
Distributed upskilling adapts to any industry where experienced workers mentor newcomers.
Experienced operators document procedures through VELA while training juniors. Their captured knowledge becomes the foundation for role-based courses and AI assistants.
Journey-level workers mentor apprentices and capture OJT evidence. Their expertise flows back into RTI curriculum, making classroom learning more relevant.
Experienced nurses document patient care procedures while precepting new hires. Institutional knowledge persists even as veteran staff retire.
Technicians share troubleshooting techniques through peer networks. Best practices spread across regions faster than traditional top-down training.
Share your workforce development goals. We'll help you design a peer learning program that captures expertise, scales knowledge, and measures impact.