Getting the conversation ready…
Practical ways to turn your experience into useful learning experiences.
Start with the smallest learning experience that lets someone apply your expertise. A focused explainx workshop is easier to test and improve than a broad curriculum.
Expand an explainx curriculum when learner work reveals a clear next problem. Keep foundational and advanced offers distinct so people can choose the right starting point.
Look for tasks you repeatedly help others complete. Those moments can reveal a teachable problem with a clear audience and a practical outcome.
Build interest in your explainx workshop by sharing examples that help the people you want to teach. Start with a recurring work problem and show a useful improvement.
Make enrollment easier by answering the questions that determine fit: what learners will build, what they need beforehand, and whether the dates work for them.
People familiar with your work can give useful early feedback on an explainx workshop idea. Ask for input on the problem and exercise before asking for enrollment.
A workshop launch works best when the learning promise, schedule, and enrollment path are ready together. Give learners enough detail to make a confident choice.
When a public AI example attracts attention, use the questions to understand what people need help doing. Interest is a starting point for research, not proof of demand.
A free explainx session should solve a small problem completely. Let prospective learners experience your teaching before deciding whether they need a longer workshop.
A small group can be a useful starting point for an explainx workshop when the learners share a clear problem and you can support them closely.
A repeated coaching question can become a useful explainx group workshop when learners can practice a shared process while keeping sensitive context private.
Translate your experience into decisions learners can practice. An explainx workshop should help someone perform a task, not simply hear how you performed it.