{"id":88591,"date":"2026-04-14T17:50:28","date_gmt":"2026-04-14T17:50:28","guid":{"rendered":"https:\/\/degreed.com\/experience\/?p=88591"},"modified":"2026-04-14T20:30:04","modified_gmt":"2026-04-14T20:30:04","slug":"ai-labs-learning-with-situational-roleplay-training","status":"publish","type":"post","link":"https:\/\/degreed.com\/experience\/pt-br\/blog\/ai-labs-learning-with-situational-roleplay-training\/","title":{"rendered":"AI Labs: Learning with Situational Roleplay Training"},"content":{"rendered":"\n

Everything discussed in AI Labs content is experimental, in progress, and not guaranteed to become part of the Degreed product suite.<\/em><\/p>\n\n\n\n

You have an important meeting in two hours that you need to prepare for. Your manager isn\u2019t available to practice with on such short notice. You have your slide deck ready, but you aren\u2019t sure what questions the stakeholders on the call might ask. <\/p>\n\n\n\n

This isn\u2019t the time to wing it. A call with multiple, key stakeholders isn\u2019t something you can just read up on and prepare for with a moment\u2019s notice. What you are looking for is an experience that\u2019s highly customized to your in-the-moment need, which in this case, is practice and preparation for an important conversation. This is a learning moment, but traditional learning isn\u2019t built for it. <\/p>\n\n\n\n

This is the kind of in-the-flow learning that I wanted to see if we could use AI to provide. <\/p>\n\n\n\n

But first, let me share a little bit about AI Labs, in case you\u2019re unfamiliar with the initiative. We experiment with the most useful ways to activate the latest AI capabilities, align them to real business needs, and see what can actually provide value in the market. A lot of what we build never makes it into the product. We test, we learn, we iterate, and we move on. <\/p>\n\n\n\n

But every once in a while, something shifts how we think about the future of learning.<\/p>\n\n\n\n

\"Taylor<\/figure>\n\n\n\n

Learning in the AI-Native Era<\/h2>\n\n\n\n

I spend a lot of time thinking about a simple question: What will learning actually look like in an AI-native world?<\/p>\n\n\n\n

Traditional learning often falls short when it comes to changing behavior in the moments where performance matters most. The traditional learning model is too generic or too slow or doesn\u2019t offer feedback to cement learning and create readiness faster. Consider the example we provided of preparing for a meeting in a couple of hours. Where are the live practice opportunities?<\/p>\n\n\n\n

To meet this kind of need, I see learning becoming more:<\/p>\n\n\n\n

    \n
  • Specialized to the task<\/li>\n\n\n\n
  • Personalized to the individual<\/li>\n\n\n\n
  • Situational to the moment<\/li>\n<\/ul>\n\n\n\n

    This is the line of thinking I used to bring our AI roleplay simulations experiment to life.<\/p>\n\n\n\n

    AI Roleplay Conversations In Action<\/h2>\n\n\n\n

    In this experiment, we wanted to see if we could generate specific learning experiences based on in-the-moment user needs. <\/p>\n\n\n\n

    After considering what it could look like to meet situation-specific needs in practice, we created an AI agent that would allow users to type in a custom scenario (i.e., an upcoming call with investors). The agent would then generate a real simulation of that event and that would allow the learner to practice in a multi-modal format.<\/p>\n\n\n\n

    Let\u2019s go back to the scenario where I have a fast-approaching meeting with stakeholders. I would go into this new tool, describe my upcoming meeting, including any information I have on who I\u2019m presenting to and what the topic or goal is. AI would then generate a highly realistic video call interface.<\/p>\n\n\n\n

    Up to four AI personas can join the roleplay conversation, each with a distinct role, personality, and set of priorities that can mimic the situation and people I\u2019m about to face. They ask questions, interrupt, and challenge you just like real stakeholders would. That real tension makes the experience even more useful.<\/p>\n\n\n\n

    The simulation provides user feedback both during and after the interaction, including input on how you handled questions, how clearly you communicated, and even how effective your slide deck was.<\/p>\n\n\n\n

    This changes how corporate training and learning is delivered. Users can run these simulations anytime. Flexibility like this matters in the real world. It\u2019s not always realistic to practice for two weeks before an important call. Sometimes, it\u2019s two hours before a call when you have time to squeeze in the needed preparation. <\/p>\n\n\n\n

    These simulations ensure there\u2019s always time for practice, and that high-stakes meeting never has to be your trial run.<\/p>\n\n\n\n

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