AI-Generated Content, Coaching, and Interactive Data

Taylor Blake

mardi 18 novembre 2025

Partager

Instead of waiting to see what the future of learning looks like, we’re creating our own. It’s what the Degreed AI Experiments Lab is all about, and I want to give you a new sneak peek into that reality. Let me take you on the journey of future capabilities we’re exploring, including:

1. AI-generated content
2. Customized feedback and coaching moments
3. Surveys, data, and debrief conversations

1. AI-Generated Content

Let’s start with multi-modal learning content generation. We’re exploring ways that you can use AI to help generate content or use your existing documents or Sharable Content Object Reference Model (SCORM) files as the starting point. From there, it can be quickly transformed into learning resources of any length or format. You can edit the content produced, with multimedia options for text, images, graphics, and videos—or even slides.

This is an easy way to keep fit-for-purpose learning content engaging, diverse, and always relevant. And it’s one we plan to launch in early 2026.

2. Customized Feedback and Coaching Moments

Degreed Maestro is about more than conversations with AI. It’s about creating high-impact, comprehensive learning experiences. To do that, we’re exploring multi-step AI experiences that combine multiple formats to provide the learner with opportunities for improvement, such as customized feedback or mini coaching moments.

For example, after practicing a sales call with Maestro, it would provide scores and feedback based on my performance, showing me what I did well and what I need to improve. It would also provide mini coaching moments or a chance to replay and practice the specific things I need to work on. 

3. Surveys, Data, and Debrief Conversations

We’re also excited about a new way to use Maestro through natural, AI-powered debrief conversations. These encounters can drive learning and reflection while surfacing valuable insights along the way. 

Instead of formal surveys that produce fatigue and rushed, incomplete answers, Maestro can weave smart questions into everyday conversations or draw insights from existing ones with no extra effort required. In these settings, people tend to share more openly and in greater depth than they would in a traditional survey, especially when they know their responses can remain confidential. 

In one example, we asked employees how they’re using AI in their roles via a quick conversation with Maestro. Maestro gathered the responses and created a live dashboard to aggregate the results. From there, we could even chat with it about the data to explore further trends. 

This approach makes it straightforward to establish a baseline understanding of an individual employee’s skills, needs, and experiences, to then tailor learning to individual needs. The measurement of impact available afterward uncovers a depth and richness of insight that’s simply out of reach with traditional methods. It’s real-time understanding that was previously invisible. 

Stay Updated

Imagine what you could achieve with that level of clarity about employees, their needs, and the impact of your learning programs. We’d love your feedback as we keep exploring, so follow me on LinkedIn or sign up for our AI Experiments Lab newsletter to stay updated on our latest tests.