OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models
Adam Coscia, Shunan Guo, Eunyee Koh, Alex Endert
Abstract
Visual highlighting and tracking of real-time feedback on goal progress, with inline explanations of LLM-assisted evaluations A Progress panel Visually review goal progress and evaluation history, as well as manually control goals by locking & completing them B Goal Pipeline User directly controls when their goals are inferred, merged, and evaluated C Figure 1: OnGoal tracks and visualizes conversational goals such as requests and suggestions in multi-turn dialogue with LLMs, helping users better evaluate and review their goal progress.
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