PITCH: Designing Agentic Conversational Support for Planning and Self-reflection
Adnan Abbas, Caleb Wohn, Donghan Hu, and 2 more authors
In Proceedings of the 7th ACM Conference on Conversational User Interfaces, , 2025
Effective planning and reflection are essential for knowledge workers’ productivity and well-being, yet many struggle with them. While conversational agents (CAs) have shown promise, existing approaches rely on repetitive check-in without variance. We designed PITCH, a CA that checks in twice daily for morning planning and evening reflection while considering the morning conversation. A two-week field study with 12 graduate students demonstrated that engagement with PITCH increased their perceived well-being over time. We also evaluated a rotation strategy, which cycles through diverse topics every day, hypothesizing that rotation would mitigate wear-out effects and offer new perspectives. The results revealed that the specificity of a randomly chosen goal was perceived as being out of context and authoritarian, with most preferring the non-rotation version for consistency and flexibility. These findings highlight the potential of CAs to support knowledge workers and offer design considerations for varying conversations to provide topical diversity.