The Story of How Logging PC Work and Conversations for AI Analysis Changed the Business Landscape

In manufacturing plants, the time taken for each process is measured in seconds, and daily improvements are ongoing. On the other hand, what about offices? In white-collar jobs, there has been almost no way for managers to confirm what is actually happening on employees' PCs, relying only on self-reports of being "busy" and daily reports. This is a case study that dives directly into that "black box." By logging all PC work and meeting conversations of employees, and visualizing it just like in manufacturing, the logs are analyzed by generative AI. As a result, the "true nature of the office," which was never visible from daily reports or meetings, emerged. What tasks are taking up time, and who is spending how many hours? >>> Chat usage accounts for 20% of the total. Just removing people who were added to groups for no reason improves efficiency. What is the true nature of late-night overtime? >>> Writing daily reports. How many hours a day are spent on value-added work? >>> When capturing rare tasks that only top employees can do, it accounts for around 30%. It's important to remove secondary tasks that seem to add value but actually do not. “So this task actually consumed this much time” >>> The president spent a lot of time on something he casually mentioned, asking, "Can't we do this with that?" With continuous discoveries, priorities for action changed dramatically. In this study session, we welcome Mr. Miyata from Seven Sense Marketing and discuss the real analysis results (actual data) in a dialogue format. Join us with a drink in hand for the unvarnished realities beyond "visualization."