What Happens Next?

Thank you so much! I’m incredibly honored to be featured in the ELH Weekly—I’ll definitely make sure I’m subscribed to catch it!

Since I didn't see a way to edit my original post, I wanted to share a bit more about the 'why' and 'how' behind this project for anyone interested. 

My main goal was to create a scenario-first replacement for traditional learning objectives. I wanted to set the context, stakes, and relevance immediately—which is usually much more effective for new hires or call-center roles.

The Prompt & Strategy: To build the interaction, I used a prompt designed to turn static information into a high-stakes, interactive chat. I asked the AI to:

• Set a specific time and mood (3:47 PM on a Friday).
• Present a complex problem (non-formulary medication for a child).
• Define clear 'expectations' for the learner, such as explaining pharmacy jargon in plain language and weighing next-step options in real time.

The Core Challenge: The learner steps into the role of a Member Service Rep. Instead of just reading a list of what they will learn, they are immediately asked: 'So... what do I do now?'

I found that by focusing on the impact of the choice rather than just the 'correct' answer, the engagement level really shifted.

Thanks again for the support, and I’m happy to dive deeper into the mechanics if anyone has questions!"