How do you build and maintain a Guided Scenario?

Let's build a Guided Scenario. The work will feel familiar to any instructional designer, because the process is consistent with the ADDIE framework you already use: determine the scope, define the objectives and the gaps, design the experience, build it, test it, and roll it out. What is different is how fast the building goes, and how much of the lifecycle lives in one place.

Start with how flexible the unit of work is. A module holds one or more scenarios, and it can be whatever the learning calls for. You can build a very short module quickly, use it, and retire it without ceremony when its moment has passed. You can clone an existing module and modify it to create a new one in a fraction of the time. Or you can build a sophisticated module with multiple scenarios that traverse time, following a cancer patient across years of treatment decisions, for example. All of it runs on the same framework.

Scoping the build: objectives, gaps, situations

The scoping is the part you already know how to do, because it is what every well-built program requires. Based on the topic, determine the learning objectives and the gaps.

The learning objectives state what learners will get out of the program and what learning outcomes stakeholders can expect, and our guide on writing learning objectives covers how to write them for both audiences. The gaps are where knowledge meets application: the distance between what people are typically doing now and what they should be doing. Closing those gaps is how the learning objectives get met, and our guide on finding the gaps covers how to locate them.

You may well be able to define the gaps yourself, and those gaps then define the situations and the decision points. Or the scope may call for a subject-matter expert, in which case our guide on getting expert knowledge out of experts who have no time covers how to run that conversation well. Either way, what remains is your creative work as a designer: how the scenarios flow, whether they run short or long, the decisions they carry, and the learner experience you want to create.

Building it in the platform

As you construct the module inside the platform, a few things keep the work fast:

1. AI-accelerated construction. AI voice is built in and ready to go, with full pronunciation control, and AI helps you build out the conversations to your design, so the effort goes into the design rather than the mechanics.
2. Analytics are built in. As you create decision points, the measurement of those decision points is created with them. Analytics are part of the process, not bolted on at the end.
3. Preview, test, and share. You can preview the experience, test it, and share it for comments as you get ready to finalize.
4. Lock it down. When everything is approved and ready, you lock the content. Every AI contribution you approved is locked with it, and there is no further AI involvement once distributed.
5. Distribute. Learners reach the module across the web or through your learning management system via SCORM.

Maintaining it: your strategy sets the pattern

How you maintain a module depends on what kind of module it is and how its content moves.

If the content changes quickly, keep the modules light. Clone one or build a new one, roll it out, and stop using the old one. Short modules are cheap enough to replace that replacement becomes the maintenance plan.

If a module is intricate and meant to live for years, maintain it directly: edit it and republish as the content evolves. One discipline governs both patterns: when a change is significant enough to affect your analytics, clone the module and roll out a new one rather than editing the live one, so the before-and-after numbers keep describing the same thing and the data you have already collected stays meaningful.

Translation follows the same logic, and it benefits most from everything being in one place. You make a content change once and update it across all the translated languages, with AI voice speaking each language, instead of carrying changes back and forth between separate programs and AI tools. When a region needs more than a straight translation, clone the module, translate it, and modify it for cultural localization.

One platform, start to finish

What makes both halves of the job manageable is that everything happens in one platform. You construct the content with AI acceleration in the platform. You translate in the platform. Voices, environments, characters, animation, and the conversations themselves, driven by the conversation engine, are all adjusted in the same place. When you are ready, you lock it down: the voice is locked with your approved pronunciations, and the content is approved and fixed. At the point of delivery there is no AI, no AI to pay for, and no AI to hallucinate. The experience is consistent across all learners, personalized for each, and measured for analytics. Changes, including translations, roll out from within that same platform.

That is how AliveSim is built: one platform for both content and delivery, plugged into your LMS through SCORM or delivered across the web for complete flexibility.

If you are adding a Guided Scenario to a program you already own, our guide on adding an application step walks through that retrofit, and what a Guided Scenario is defines the thing you are building here in full.

Published July 20, 2026 · 5 min read