Knowledge-intensive processes (KiPs) are characterized by unpredictable inputs and often vaguely defined goals. KiPs are claimed to be non-eligible for standardization, digitization, and automation. Therefore, only a limited amount of digital trace data is generated during their execution, and what is generated cannot usually be analyzed in a traditional way. Moreover, discovering the process structure is as meaningless as conformance checking. However, as organizations become more knowledge-dependent, they seek more efficient execution of KiPs, which calls for a thorough investigation of the challenges. In our talk, we will present how we have investigated KiPs using qualitative data and outline our future research perspectives. Then, we will follow up with an open discussion and a short brainstorming session on issues and opportunities in combining qualitative and digital trace data in studying KiPs that could result in joint research efforts.