Task Mining is particularly useful for identifying:

Task Mining is particularly effective in identifying repetitive activities that are prime candidates for automation. This technique involves analyzing user interactions with software applications to gather insights into how tasks are performed. By examining this data, organizations can pinpoint processes that are done repeatedly or those that involve significant manual effort. The goal is to discover tasks that can be streamlined or fully automated, which can lead to increased efficiency and productivity.

While the other options might relate to workflow improvement or compliance, they do not align specifically with the primary goal of Task Mining. It is not primarily focused on process redundancies or employee satisfaction issues. Moreover, while identifying unnecessary software licenses can be part of broader operational efficiencies, it does not directly stem from the insights gained through Task Mining. Instead, the technique shines a light on tasks that occur frequently and could benefit from automation, making option C the most relevant choice in this context.