Case-based retrieval and other decision support systems typically exist separately from the tools and tasks they support. Users are required to initiate searches and identify target case features manually, and as a result the systems are not used to their full extent. We describe an approach to integrating an ASK system—a type of video case library—with a performance support tool. This approach uses model-based task tracking to retrieve cases relevant to how a user is performing a task, not just to the artifacts that are created during the process.