Bot Analytics via Custom URI Encoding
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Solution Overview
Problem
Current analytic frameworks for bots are rudimentary and lack the depth of insights provided by website analytics tools, limiting the ability of bot owners to understand how bots operate and how users interact with them.
Innovation Solution
The solution involves encoding bot information into custom Uniform Resource Identifiers (URIs) that can be used to create analytic records compatible with existing website analytics platforms like Google Analytics or Microsoft Azure Analytics, allowing bot owners to leverage rich analytics without the need for custom platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If custom analytic frameworks are built for bots, then bot-specific analytics depth is improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent makes existing website analytics platforms universal by enabling them to handle both website and bot analytics through a common interface. Bot interactions are encoded into URI formats that website analytics platforms can process, allowing one system to serve multiple purposes without requiring separate bot-specific analytics infrastructure.
Solution Approach 2:
The patent creates a mapping layer that copies website analytics patterns into the bot domain. By encoding bot conversation parameters (utterances, intents, slots) into URI formats that mirror website page views and user interactions, the system replicates the successful website analytics model for bot analytics without building new analytical frameworks.
2Device complexity
If existing analytics platforms are used for bots, then device complexity is reduced, but measurement precision for bot-specific metrics deteriorates
Solution Approach 1:
The patent transforms bot-specific parameters (utterances, intents, slots, conversation flows) into the parameter format expected by website analytics platforms (pages, sessions, user interactions). This parameter transformation enables existing platforms to measure bot metrics with the same precision as website metrics, without requiring platform modification.
Solution Approach 2:
The patent introduces an intermediary encoding layer that translates between bot conversation data and website analytics formats. This mediator component converts bot parameters into URI-encoded analytics records that bridge the gap between bot-specific data structures and generic analytics platform expectations, preserving measurement precision while using existing infrastructure.
3Adaptability or versatility
If bot analytics are expanded to match website analytics capability, then adaptability is improved, but loss of information in data transformation increases
Solution Approach 1:
The patent segments bot conversation data into distinct parameter categories (utterances, intents, slots, conversation flows) that can be independently encoded into URI components. This segmentation allows comprehensive capture of bot interaction details while mapping to website analytics structures, minimizing information loss during transformation by preserving the granularity of original bot data.
Data Source
AI summary
Representative embodiments disclose mechanisms to create analytic metrics for bots. In one set of embodiments, the system creates a custom URI that encodes bot specific information in a URI format. An analytic record is created based on the URI and the analytic record can be logged and/or sent directly to an analytic platform designed to provide analytic metrics for websites. In this fashion, website analytic platforms can be used to provide analytic metrics for bots. In another set of embodiments, analytic records are created that are logged and/or sent directly to a bot specific analytic platform. Such a platform may help derive bot specific analytic metrics.