  Generative AI, such as image generation models and large language models,
stands to provide tremendous value to end-user programmers in creative and
knowledge workflows. Current research methods struggle to engage end-users in a
realistic conversation that balances the actually existing capabilities of
generative AI with the open-ended nature of user workflows and the many
opportunities for the application of this technology. In this work-in-progress
paper, we introduce participatory prompting, a method for eliciting
opportunities for generative AI in end-user workflows. The participatory
prompting method combines a contextual inquiry and a researcher-mediated
interaction with a generative model, which helps study participants interact
with a generative model without having to develop prompting strategies of their
own. We discuss the ongoing development of a study whose aim will be to
identify end-user programming opportunities for generative AI in data analysis
workflows.
