Configuration Analysis Interface with Recommendation Panel
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Solution Overview
Problem
In business environments, users with limited data analysis capabilities struggle to quickly and accurately configure analysis objects for event analysis, leading to inefficiencies in data analysis processes.
Innovation Solution
A method for configuration analysis that presents an event analysis interface with a to-be-configured indicator entry, including event and calculation condition setting items. This interface triggers a configuration recommendation panel showing historical configuration items with the highest matching probability, allowing users to select and configure the analysis object efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually configure analysis objects from scratch, then configuration accuracy can be high when users have expertise, but configuration time and operational difficulty increase significantly for users with limited analysis capabilities
Solution Approach 1:
The system performs preliminary actions by pre-configuring analysis objects and storing them as templates in the backend. When users need to configure an analysis object, the system retrieves and presents pre-configured templates that users can directly select or lightly customize, eliminating the need for users to perform complex configuration tasks from scratch.
Solution Approach 2:
The system creates copies of previously configured analysis objects (templates) and presents them to users for selection. Instead of requiring users to build configurations manually, the system replicates proven configurations and allows users to reuse them, significantly reducing configuration time and operational difficulty.
2Adaptability or versatility
If users manually configure analysis objects, then configuration accuracy depends on user expertise, but this creates a high threshold that limits accessibility for business operators with weak analysis capabilities
Solution Approach 1:
The system segments the configuration process into two distinct parts: template generation (performed automatically by the system based on historical data and user behavior) and template selection/customization (performed by the user). This segmentation removes the complex analytical work from the user's responsibility, making the system accessible to users with varying skill levels.
Solution Approach 2:
The system introduces templates as an intermediary between raw configuration parameters and user interactions. Instead of exposing users to complex configuration parameters directly, the system mediates through pre-configured templates that encapsulate best practices and technical complexity, allowing users to interact with simplified representations.
3Loss of information
If the system provides all historical configuration items to users, then users have complete information to choose from, but this increases information overload and makes it difficult for users to find relevant configurations
Solution Approach 1:
The system applies local quality by personalizing the presentation of configuration templates based on each user's characteristics, historical behavior, and current context. Instead of presenting all templates uniformly to all users, the system tailors the presentation to highlight the most relevant templates for each specific user situation, making information retrieval easier without losing completeness.
Solution Approach 2:
The system dynamically changes presentation parameters of configuration templates based on user profiles and context. Templates are ranked, filtered, or highlighted according to relevance metrics calculated from user behavior data, ensuring that the most appropriate templates appear first or are emphasized, thereby reducing the cognitive load on users while maintaining access to all configurations.
Data Source
AI summary
The disclosure relates to a method for configuration analysis, an apparatus, an electronic device, and a readable storage medium. The method includes: presenting an event analysis interface, where the event analysis interface includes a to-be-configured indicator entry, the to-be-configured indicator entry being configured to configure an object to be analyzed, and the to-be-configured indicator entry includes an event setting item and a calculation condition setting item; presenting, in response to a target trigger operation, a configuration recommendation panel corresponding to the to-be-configured indicator entry; and presenting, in the to-be-configured indicator entry, target configuration information corresponding to a target recommendation configuration item in response to a trigger operation on the target recommendation configuration item in the plurality of recommendation configuration items.