FG-0107 Challenge-Driven Design
Description
Structure learning and skill development around challenges rather than tutorials. The most effective way to build human-AI collaboration competency is through doing, not reading. Design onboarding, training, and skill development as progressively difficult challenges that require applying techniques in realistic contexts. The lesson is embedded in the challenge, not delivered separately.
Implementation
Create tiered challenges that exercise collaboration techniques in context. Start with basic invocation and context setting, progress to multi-agent coordination, governance edge cases, and complex mission execution. Each challenge should teach by requiring the technique, not by explaining it.
Success Indicators
- New team members achieve competency through hands-on practice, supported by documentation
- Challenges exercise real techniques in realistic scenarios
- Skill progression is measurable through challenge completion
- The gap between training and production work is minimal
Failure Modes
- Challenges too abstract to transfer to real work
- Insufficient scaffolding for beginners: frustration instead of learning
- Treating challenges as one-time events rather than ongoing skill development
- Challenge inflation: continuously increasing difficulty without consolidating fundamentals, producing practitioners who can handle edge cases but fumble basic operations