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L&D & Training
October 2, 2026

How to Create Scenario-Based Training (With AI)

Learning and Development EvangelistΒ at Synthesia

Create engaging training videos in 140+ languages.

Have you ever watched someone perform a task once, and thought to yourself, I can do that? Do you execute it flawlessly or do you get stuck on a specific step? Odds are the latter.Β 

That’s because there’s a difference between knowing how to do something and being able to do it consistently, especially under stress. If I take a First Aid course where I learn about CPR, but never practice doing it, I can guarantee that you wouldn’t want my first time performing it to be an actual emergency.Β 

So let’s break down how to build scenario-based training that changes behavior.

What is scenario-based training?
    Scenario-based training closes the loop between knowing what to do and being able to do it under pressure by putting employees in realistic work situations, asking them to apply what they've learned, and showing them the consequences of their decisions.

What makes scenario-based training effective

Scenario-based training is only as effective as the scenario. (Obvious, I know.) But I see this all the time. Someone creates a "scenario" where the right choice is obvious, and there are no consequences for a wrong answer. If a scenario is basically a multiple-choice question dressed up as a scenario, your employees won't learn anything from it.

It's ambiguous

The best scenario-based training involves ambiguity. There's no clear "right" answer, so employees have to make a decision using their judgment. That ambiguity creates the productive tension where employees practice what they've learned.

It's believable

Design a scenario that feels authentic, even if it is fictional. The goal is verisimilitude. It needs to be believable to your employees. The easiest way to do this is to find real examples that you can scrub of identifiable details. Then, identify opportunities to have employees use their problem-solving and critical thinking skills within that scenario.

It has real consequences

Employees should see the consequences of their decision, paired with feedback. These scenarios work because they give employees a safe, risk-free environment to experiment. Ideally, this leads to them being more judicious in their decision-making on the job.

The research behind scenario-based training
  • Simulation-based training may be better suited to procedural knowledge (how to act) than declarative knowledge (what the policy says), and learners report that repeated practice making decisions and learning from mistakes is critical to deep learning. (Sanchez et al., 2023)
  • Scenario-based training outperforms passive video training on both knowledge and skill. (Haghighizadeh et al., 2024)
  • Training that lets people make and learn from mistakes can improve performance on new tasks more than training designed to prevent errors. (Keith & Frese, 2008)

How to choose a scenario-based training format

Scenario-based training can be delivered live, such as in a workshop, or asynchronously, through eLearning courses, training videos, AI roleplay sessions, and even virtual reality.

Before you select a format, check that scenario-based training is what you need. Ask yourself: do my employees lack information, or do they struggle to apply what they already know?Β If it’s the latter, scenario-based training is an appropriate learning intervention.

Here’s what that could look like:Β 

FormatGood forExample
eLearning coursePracticing procedures and discrete decisions at scale (Sitzmann et al., 2006)A cybersecurity course where employees choose how to respond to various types of attacks
Training videoModeling what good looks like, mistakes included, before people practice (Taylor et al., 2005)An interactive video showing how to, and how not to, give feedback, with chances for employees to choose the right next step
Live workshopPracticing a specific skill with peers and a facilitator (Sanchez et al., 2023)Managers practicing how to tell a high performer their promotion wasn't approved because there isn't a business case for the new role
AI roleplayRepeated, on-demand practice of a conversation with structured feedback (Kim et al., 2025)A sales rep practicing discovery calls

Below is an example of an interactive training video based on the coaching model, GROW.

How to create scenario-based trainingΒ 

Every effective scenario-based training is built around a realistic situation, at least one meaningful decision point, and consequences that follow from it.

Step 1: Scope the scenario

Your first task is to properly scope your scenario. Here's what that looks like: defining the behavior you want to train, and how you'll measure whether or not the training worked. You can use a template like this:

This scenario is for [specific role] who currently [context or gap]. After completing it, [specific role] should be able to [observable decision or action] so that [business outcome].

Example: First-time manager training

I'll come back to this example where it helps. You're a first-time manager, and you're struggling to manage a high performer's expectations. They want a promotion. They've been exceeding their goals quarter-over-quarter, but there isn't a business case for a new role yet. You've spoken with your manager about this issue. While there may be an opportunity in the near future, you can't promise anything.

For this scenario, I'd write the learning objective and business outcome like this:

This scenario is for first-time managers who are struggling to keep high performers motivated when there are no promotion opportunities. After completing the training, managers should be able to set realistic expectations and provide stretch goal opportunities, so that high performers remain engaged and don't leave the company.

The measurement goals I would be tracking here are employee engagement data from pulse surveys and retention data.

Step 2: Design the scenario

Now you can design your scenario. I like to use the 3C model developed by Tom Kuhlmann. You start by presenting the challenge, then offer choices, and build in the consequences of each choice.

The 3C Model

Document the following:

  • The challenge: why it matters to your audience, and the business impact of getting it right or wrong
  • The choices: each one should be plausible
  • The consequences: keep feedback actionable and focus on the outcome for the people impacted by the decision
  • The branches: how each choice and consequence connects back to the main narrative

The more complex your scenario, the more you'll need to focus on the branching options. What drives the scenario forward, and what is adding complexity for complexity's sake?

If this feels like a lot, I recommend using a prompt like the one below in an LLM to get started.

LLM prompt

You are an instructional designer experienced in writing scenario-based training for workplace learning.

I am developing a scenario-based training. [paste the learning objective and performance outcome]

I will deliver it as [format, e.g., a branching video, an AI roleplay, an eLearning course].

Here is how I've shaped the scenario:

The challenge: [describe the situation and why it matters to your audience and the business]

The choices: [list 2-3 plausible choices]

The consequences: [describe what happens after each choice, focused on the outcome for the people impacted, not a moral judgment]

Your task is to turn this into a draft scenario. Write a short setup that presents the challenge, present each choice as a realistic option, describe the consequence of each choice, and show how each branch connects back to the main narrative.

Use clear, concise language and avoid jargon that may not translate to a global audience. No choice should be obviously right or wrong. After the draft, flag any choice that is too obvious and suggest how to make it more ambiguous.

Step 3: Develop the training

Once your scenario is designed, it's time to build it. What you build depends on the format you chose, so I've included links to how-tos below:

  • eLearning course: the challenge, choices, and consequences, built as a branching module in an authoring tool.
  • Training video: a script with a scene for the challenge, each choice, and each consequence, plus the branches that connect them.
  • Live workshop: a facilitator guide, the scenario as a handout or role card, and debrief questions for each choice.
  • AI roleplay: a persona, the scenario instructions, objections, and a skills rubric.

AI roleplay is the newest of these formats, so I'll walk through how to build one with Synthesia Roleplay Sessions.

Example: Synthesia Roleplay Session

With Synthesia's Roleplay Sessions, you can build a scenario-based roleplay with our AI Assistant. (You can also start from a template or add a Roleplay Session to a training video.)

  1. Create an account in Synthesia.
    You can get started for free.
  2. Prompt the Assistant.
    Give the Assistant the scenario you scoped above: the learning objective and the challenge, choices, and consequences. You can paste them in or attach a document.
  3. Review the drafted Roleplay Session.
    The Assistant drafts the scenario based on your inputs, and everything in it is a suggestion. You can modify the Interactive Avatar so its appearance and voice are on-brand, and adjust the pronunciation of specific words (like your company name) in the scripted setup. Then edit the wording and the skills rubric. Aim for 3-5 skills, each an observable behavior.
  4. Preview the Roleplay Session.
    Test it as a learner would, including awkward or off-script answers, to see how the Avatar responds. Revise as needed. If possible, pilot it with 3-5 members of your target audience, or at least one SME, before you finalize.
  5. Publish and share your scenario-based training.
    Publish to the Learner Portal to assign and track learners, or share it with a link or embed, or as a SCORM package in your LMS.

Try a Roleplay Session out below.Β 

How to measure scenario-based training

If you're investing in scenario-based training, you want to make sure it's actually closing the loop between what employees know and what they can do, consistently and under pressure at work. That's why you need a measurement plan to evaluate the training and, in some cases, to calculate the ROI.

What's helpful about scenario-based training, especially in asynchronous formats, is that you can see how employees are responding: where they're struggling and where it's too easy. If there are patterns or trends (e.g., employees consistently picking the same wrong choice), it's likely a design issue you can correct.Β 

If you're interested in learning more about how Synthesia can support your scenario-based training, whether through Studio training videos or Roleplay Sessions, book a demo.

Amy Vidor

Amy Vidor, PhD, is the Learning and Development Evangelist at Synthesia, where she researches learning trends and helps organizations apply AI at scale. With 15 years of experience, she has advised companies, governments, and universities on skills.

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Frequently asked questions

What is scenario-based training?

Scenario-based training, sometimes called scenario-based learning, closes the loop between knowing something and being able to do it under pressure. It puts employees in a realistic situation where they have to make a decision, see the real consequences, and get feedback.

What is the difference between scenario-based training and simulation?

A simulation replicates a specific environment or system (e.g., a flight simulator would replicate the cockpit of a specific aircraft) in order to train someone on a specific task or process. Scenario-based training focuses on making a decision. They both require workplace context to be effective.

What are the 5 Cs of scenario-based training, and how do they compare to the 3C model?

The 5 Cs are Context, Challenge, Choices, Consequence, and Contemplate. They overlap with the 3C model (Challenge, Choices, Consequences) developed by Tom Kuhlmann, adding two elements: context, which frames the challenge, and contemplate, which is the reflection that follows the consequence. This guide uses the 3C model because it's easier to remember.

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What are examples of scenario-based training?

Scenario-based training can be developed for any use case where there's complexity in decision-making, and delivered as an eLearning course, interactive training video, live workshop, or AI roleplay.Β 

For example, employees might choose how to respond to different types of cyberattacks in an eLearning course, managers might practice a difficult promotion conversation in a workshop, or sales reps might practice handling objections with an AI roleplay. Other use cases include customer service training for reps who need to manage escalations and legal training around when to flag exceptions to specific policies.Β 

Can AI generate scenario-based training videos and roleplays?

Yes. AI video platforms like Synthesia can generate a first draft of a training video or a roleplay based on a prompt, script, or existing training materials (e.g., a slide deck, transcript, SOP).

There should always be a human-in-the-loop when designing any training content. Your role is to evaluate whether the scenario is realistic and well-designed so the employee is making tough decisions and getting feedback that aligns with the consequences of their decisions.

How long does it take to create scenario-based training?

It depends entirely on your format and the schedules of any stakeholders required for creation and/or approvals. With an AI tool like Synthesia, a well-designed scenario-based training video could be made in several hours, and an AI roleplay can be drafted from a prompt, with most of the time going to reviewing and testing it. With a traditional production timeline, a video may take several weeks or longer. This does not factor in any internal review processes or checks required before publication.

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