Not Every Learner Learns the Same Way. Yoodli Is Built for That.

A look at the AI roleplay configuration settings that make practice work for everyone.

AI roleplay configuration is one of the most underrated parts of a successful enablement rollout. Most of the energy goes into the content: the scenarios, the talking points, the objections. But the conditions of practice matter just as much.

Some people need a moment of silence before they respond. Some find watching themselves on camera more distracting than helpful. Some want to read and build context before they ever try to practice out loud. None of that is a problem. It’s just how people learn, and a platform that accounts for it tends to get a lot more out of the people using it.

Yoodli has a range of settings that let the experience flex around the learner. Most of them are simple, and some are things learners can adjust themselves. A few are worth thinking through before you roll out to a larger group. Here’s a look at what’s available.

The camera doesn’t have to be on.

Yoodli works fully with audio only. For learners who find the visual feedback loop distracting, turning the camera off is a small change that can make practice feel a lot more natural. No configuration needed by admins, only need to t’s just worth letting people know the option is there.

There’s no rush.

Learners can pause mid-roleplay to collect their thoughts before responding. The AI waits. There’s no timer, no penalty, and no pressure to fill the silence. For anyone preparing for a high-stakes conversation, that space to think before speaking is part of what makes the practice useful.

The conversation follows the learner’s pace.

Yoodli’s AI mirrors the learner’s natural speaking tempo rather than defaulting to a fixed rhythm. Someone who speaks more slowly, pauses often, or takes time to find the right word isn’t fighting the platform. The conversation adapts to them, which is particularly meaningful for non-native English speakers or anyone who tends to feel rushed in real conversations.

Turn-taking can be adjusted.

How long the AI waits before responding, whether it interrupts, how much space it leaves: all of it is configurable. For learners who need more room in a conversation, these settings make practice feel like a real exchange rather than a test.

Coaching reports can be focused.

Yoodli’s reports surface a lot of data. That’s useful, but not all of it is equally relevant for every person or every program. Admins can adjust what learners see in their coaching reports, so the feedback that shows up is the feedback that actually matters for their role. For programs built around content and messaging, talking point coverage and rubric scores tend to be the signal worth centering.

The rubric defines what good looks like.

When roleplays are created in Yoodli, the rubric helps support them. Designing rubrics around content mastery rather than delivery mechanics shapes what learners focus on during practice, and gives a cleaner read on readiness when it matters. AI roleplay configuration at the rubric level is where the biggest gains tend to show up.

Practice builds on itself.

Yoodli can surface areas a learner found difficult in earlier sessions, so returning to the platform feels targeted rather than repetitive. The focus stays on what still needs work, rather than starting from the beginning every time.

Not every learner wants to start with a roleplay.

Some people need to build context and confidence before they’re ready to practice out loud. Yoodli supports multiple learning modalities including documents, video, and conversational tutoring, so learners can ease in before they step into a roleplay. For teams with a wide range of learning styles, a program that moves across formats tends to feel more approachable and drive better engagement over time.

To learn more on Yoodli settings, visit our Help Center.