Introducing the Model Guidance Dashboard

Learn about the Model Guidance Dashboard in Simulink Check™ and how it is used to evaluate and improve model quality using a structured set of automated checks and recommendations.

Start with discovering the purpose of the dashboard: providing a centralized view of modeling guidance and related checks that help identify structural, stylistic, and modeling guideline-related issues in Simulink^® models. Rather than running individual checks in isolation, the dashboard organizes relevant analyses into predefined guidance areas, allowing users to assess model quality in a systematic way.

Next, familiarize yourself with the main elements of the dashboard interface. Each guidance area groups together one or more checks associated with a specific modeling concern, such as compliance with modeling standards, model architecture consistency, or readiness for downstream workflows like testing or code generation. From the dashboard, users can run these checks directly and view aggregated results without manually configuring each analysis.

As results are generated, the dashboard provides a summary view showing the overall status for each guidance area, along with access to detailed findings. Through a demonstration, you will see how users can drill into individual results to review specific warnings or violations and navigate to the corresponding model elements. This supports targeted model updates based on concrete check outcomes rather than qualitative assessments.

You’ll also see how the Model Guidance Dashboard fits into ongoing development activities. Users can obtain guidance as models evolve to verify that issues have been addressed and to track progress over time. This makes the dashboard suitable for repeated use during development, refactoring, or model reviews.

Finally, learn how the dashboard can be adapted to different project or organizational requirements. Guidance sets can be selected or configured to reflect internal modeling standards or industry guidelines, allowing teams to apply consistent checks across multiple models and contributors.

Overall, you’ll gain insight into how Model Guidance Dashboard provides a structured way to run relevant checks, review results in context, and apply model quality guidance based on objective check outcomes.