GitHub Actions (GA) is an automation and workflow orchestration platform that facilitates the execution of software engineering tasks. GA supports automation through YAML workflow files, the main component for action integration. The workflow files are a valuable source of information, for example, to understand how automation actions have been orchestrated. To conduct GA studies, researchers use batch (non-interactive) tools for analysis. However, this approach ignores the context of the GA domain and hinders understanding of the intricate pieces that revolve around workflow files. We present our experience developing and using EGAD (Explorable GitHub Action Domain Model), a moldable domain-specific tool implemented on Glamorous Toolkit (GT) to depict and analyze detailed GA workflow data. We share valuable insights focusing on three key areas: (i) composing stories to develop domain models, (ii) conducting research by navigating custom views, and (iii) supporting the onboarding of researchers on GT. To facilitate takeaways from these lessons, we provide details that showcase our learnings, which researchers can apply in future endeavors, including investigating GitHub Actions.