The FOMO Framework
The FOMO (Familiarize, Observe, Mentor, Opportunities) Framework provides a collaborative learning method that emphasizes hands-on practice and knowledge sharing among learners to accelerate GenAI adoption. It consists of four key components:
- Familiarize with Fundamentals: Provide new users with a solid foundation in GenAI basics, covering what GenAI is, why it matters, how it works, when to leverage it, and where to learn more. Deliver this foundational knowledge through self-study resources and group training sessions.
- Observe Best Practices: Enable new users to witness firsthand what effective GenAI use looks like by demonstrating key best practices. These include identifying the right use cases, selecting appropriate models/bots, crafting effective prompts, leveraging team knowledge, combining multiple AIs, and fostering human collaboration. Facilitate observation through a library of real-world examples, case studies, and demos.
- Mentor through Hands-On Practice: Organize group sessions where new users can work together on GenAI tasks or projects under the guidance of experienced mentors. Encourage collaboration, idea sharing, and problem-solving, with mentors providing real-time feedback and support. Design relevant tasks with appropriate difficulty levels to progressively build mastery.
- Opportunities to Teach Others: Empower learners to become teachers themselves by creating avenues for them to share their acquired knowledge and experiences. This can include leading training sessions, mentoring newer learners, sharing projects and insights in forums, and being recognized for their contributions. By teaching others, learners reinforce their own mastery and promote a culture of continuous learning.
By following the FOMO Framework, organizations can create a supportive learning environment that encourages rapid skill acquisition, fosters a culture of continuous learning, and ultimately drives successful GenAI adoption.