With AI technology rapidly growing, human creativity is expected to rise. Business meetings foster creativity, which in turn contributes to meeting productivity. However, according to the Harvard Business Review, 71% of meetings are deemed unproductive. Prior to improve creativity in meetings, it is important to examine and define ongoing interactions. Thus, this paper primarily seeks to address this objective (a) clarify meeting phenomena from multiple perspectives, (b) visualize the meeting characteristics based on the analysis results, and (c) identify the rationale behind the distinctive points for future feedback. This paper presents our on-going analysis of the recordings of real business meetings to identify key characteristics that contribute to or are associated with meeting creativity, with the ultimate goal of enhancing meeting outcomes. Behavioral analysis (e.g., the number of utterances, the number of characters) and emotional analyses were employed to uncover the descriptive statistics and distinctive features within the meeting data. Qualitative analysis was conducted to investigate the distinctive features, such as meeting atmosphere and individual traits. We introduced multilevel and user-centric visualization of the analysis result, providing an intuitive understanding of the features for self-evaluation. This approach is expected to provide actionable insights to improve meeting dynamics and overall effectiveness.