Chatbot Conversation Path Visualization for Faster Flow Analysis
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Solution Overview
Problem
Analyzing large volumes of chatbot conversations is difficult and time-consuming due to the lack of efficient methods for visualizing and categorizing conversational flows, making it challenging to assess performance and improve chatbot interactions.
Innovation Solution
Utilizing Sankey Diagrams and analytics tools to visually represent and analyze chatbot conversations, allowing for the grouping and visualization of conversation paths, escalation paths, and related metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of conversational transcripts is performed, then analysis accuracy can be maintained, but analysis time and productivity deteriorate significantly
Solution Approach 1:
The patent creates visual copies (Sankey diagrams) of conversational data that represent the essence of multiple transcripts in a single visual structure. These visual copies allow analysts to assess conversation patterns, escalation paths, and containment rates without reviewing each individual transcript, maintaining analytical accuracy while dramatically improving productivity.
Solution Approach 2:
The patent segments conversational data into distinct visual components including conversation paths, escalation paths, containment paths, and dialog turn segments. Each segment is represented as a separate visual element in the Sankey diagram, allowing analysts to focus on specific aspects of conversation performance without being overwhelmed by the complete dataset.
2Measurement precision
If individual conversation transcripts are reviewed one by one, then detailed performance assessment is possible, but time consumption increases
Solution Approach 1:
The patent transforms one-dimensional textual transcript data into two-dimensional visual representations using Sankey diagrams. This dimensional transformation allows multiple conversation metrics (volume, escalation, containment, dialog turns) to be displayed simultaneously in a single visual field, enabling detailed performance assessment without the time cost of sequential transcript review.
Solution Approach 2:
The patent merges multiple conversation transcripts and their associated metrics into a single integrated visual display. The Sankey diagram combines conversation volume, escalation paths, containment paths, and dialog turn information into one cohesive visualization, allowing comprehensive performance assessment in a single view rather than requiring separate review of each transcript.
3Ease of operation
If spreadsheet filters and pivot tables are used for analysis, then data can be organized, but visualization and interpretability deteriorate
Solution Approach 1:
The patent replaces the mechanical spreadsheet manipulation system (filters, pivot tables) with a visual information system based on Sankey diagrams. This substitution maintains the data organization functionality while restoring the storytelling capability by presenting data in an intuitive visual format that naturally conveys conversation flows, escalation patterns, and performance insights without requiring manual filtering or pivoting.
Data Source
AI summary
The present disclosure relates to a system and method of providing analysis of chatbot conversation paths, and more particularly, to a system and method which provides visual and data observation of conversation paths and related information to provide a more efficient means of analysis. The method includes: receiving, by a computer system, a plurality of conversational transcripts, converting, by the computer system, the plurality of conversational transcripts into a visualization which includes a plurality of branches representing different conversation paths for the plurality of conversational transcripts; and displaying, by the computer system, the visualization with the plurality of branches.