SimGate’s built-in adaptive branching lets you create nonlinear learning paths that respond to each learner’s decisions, scores, or progress.
​
✅ Increase engagement by providing customized experiences based on learner choices, making training feel more relevant and immersive.
✅ Go beyond simple branching to build complex, decision-driven scenarios that mimic real-world challenges.

✅ Optimize learning time by allowing learners to skip ahead, revisit key content, or receive targeted remediation.

Give learners real-time, data-driven feedback that helps them understand the impact of their decisions and encourages self-reflection.
​
✅ Customized Reports—Provide learners with tailored scores, insights, competitive data, recommendations, and reflection prompts.
✅ Round-by-Round & Cumulative Feedback—Help learners track progress over time, just like in real-world decision making.
✅ Decision Impact Visualization—Make learning stick by showing learners how their choices shape outcomes.
​

Leverage SimGate’s AI Avatars and dynamic text to make learning feel more personal and immersive.

✅ Capture learners' attention with dynamic AI Avatars—whether welcoming them into a scenario, guiding them through a case, providing feedback, or relaying key information.
✅ Greet learners by name and inject real-time data (like individual/team names, scores, or previous choices) to create a personalized, cohesive learning journey.
✅ Show or hide content dynamically based on learner actions to provide a unique experience for each participant.

SimGate’s flexible scoring model adapts to your learning objectives, helping learners understand their performance in meaningful, actionable ways.

✅ Instant feedback based on pre-defined scoring criteria keeps learners engaged and motivated.
✅ Gamified performance tracking can encourage competition, goal setting, and deeper learning.
✅ Custom score displays can be used to reinforce key behaviors and provide learners with clear next steps.

Create a cohesive, personalized learning journey by injecting real-time data (like individual/team names, scores, or previous choices).

Where?

R1 - 1.1

R1 - 3.1

R1 - 11.1

In R1, state 12.1, follow the steps in the How-to video to:

Show or hide content dynamically based on learner actions to provide a unique experience for each participant.

Where?

R1 - 8.1

In R3, state 7.1, follow the steps in the How-to video, use-case #1 to:

Create custom learning paths based on user decisions, actions, or performance.

Where?

R1 - 6.1 to R1 - 7.1/2/3

In R2, state 6.1, follow the steps in the How-to video, use-case #1 to:

Capture learners' attention with dynamic AI Avatars—whether welcoming them into a scenario, guiding them through a case, providing feedback, or relaying key information.

Where?

R1 - 3.1

R1 - 11.1

R1 - 12.1

In R2, state 2.1, follow the steps in the How-to video to:

"AI Avatar Collection 1" are Synthesia's avatars.

"AI Avatar Collection 2" are Colossyan's avatars.

Create a scoring model that meets your learning objectives and provides the feedback your learners need.

Where?

R1 - 4.1

R1 - 6.1

R1 - 7.1/2/3

R1 - 8.1

First, in the scoring model, take a moment to see how the NFP sim is scored—notice the multiple Metrics and Roll-Pp Metrics.

Follow the steps in the How-to video to:

Give learners real-time, data-driven feedback that helps them understand the impact of their decisions and encourages self-reflection.

Where?

R1 - 10.1

R1 - 11.1

In R1, state 10.1, follow the steps in the How-to video to: