Persona-Based Contextual Report Generation System
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Solution Overview
Problem
Businesses struggle to generate contextual reports that effectively communicate information to diverse user roles within an organization, leading to potential misunderstandings and negative outcomes due to language and context mismatches.
Innovation Solution
A method, computer system, and program product that receive observed data from a monitored system, identify a relevant persona based on linguistic cues, and generate a persona-based contextual report using suitable keywords tailored to the identified persona.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single standardized report format is used for all users, then report generation efficiency is improved, but comprehension effectiveness deteriorates due to language and context mismatches with diverse user roles
Solution Approach 1:
The report generation system dynamically adapts its output based on the user's persona characteristics. The system modifies report attributes such as language complexity, level of detail, and formatting style in real-time according to the identified user role, transforming a static standardized report into a dynamic personalized report that maintains both efficiency and comprehension effectiveness.
Solution Approach 2:
Different portions of the report are customized according to the user persona. The system applies local quality variations by adjusting specific report elements (summary depth, technical terminology usage, action item prioritization) based on the user's role characteristics, while maintaining consistency in the overall report structure and data accuracy.
2Loss of information
If reports are customized for each user persona, then comprehension effectiveness is improved, but system complexity increases due to multiple report templates and customization logic
Solution Approach 1:
Instead of creating separate report templates for each persona, the system changes parameters of a single base report template based on persona characteristics. Attributes such as language level, detail depth, and formatting style are adjusted as parameters according to the user's role, reducing system complexity while maintaining customization benefits.
Solution Approach 2:
A single report generation system serves multiple user personas by incorporating persona identification and adaptation logic. The system universally handles different user roles (executives, managers, technical staff) through one unified process that automatically adjusts output based on the identified persona, eliminating the need for separate specialized systems.
3Loss of information
If detailed technical information is provided in reports, then information completeness is improved, but ease of operation deteriorates for non-technical users due to language barriers
Solution Approach 1:
The system dynamically adjusts the technical depth and language complexity of reports based on the user persona. For non-technical users, the same complete information is presented with simplified terminology and additional contextual explanations, while technical users receive the full detailed version, maintaining both completeness and ease of understanding across different user types.
Data Source
AI summary
An embodiment may receive observed data from a monitored system. The embodiment may receive a request to generate a contextual report based on the observed data. The embodiment may identify a relevant persona corresponding to the request based on a series of linguistic cues. The embodiment may identify a list of suitable keywords based on the identified relevant persona. The embodiment may generate a persona-based contextual report for the observed data based on the identified relevant persona and the list of suitable keywords.