Cohort Segmentation Interface for Behavioral Data Analysis
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Solution Overview
Problem
Current analytical products for monitoring mobile application performance lack flexibility in defining cohort groups and do not allow for custom grouping definitions, nor can they store identified cohort groups for subsequent use as data filters in different or updated datasets.
Innovation Solution
A method and system for defining custom segments in behavioral data by identifying cohort groups based on user-specified criteria, generating a graphical visualization of these groups, and allowing users to select and store them for later application as data filters in analytical reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current analytical products use fixed predefined cohort grouping methods, then the system complexity is low and ease of operation is maintained, but the adaptability and versatility are insufficient for custom analysis needs
Solution Approach 1:
The system transitions from static predefined cohort groups to dynamic custom-definable cohort groups. Users can dynamically create, modify, and save custom cohort segments based on specific behavioral criteria, allowing the system to adapt to various analysis needs while maintaining operational simplicity through a user-friendly interface.
Solution Approach 2:
The patent segments the behavioral data into customizable cohort groups based on user-defined criteria. The system divides the dataset into distinct segments (cohort groups) that can be independently analyzed, stored, and reused across different datasets, providing both flexibility and structured organization.
2Productivity
If analytical products do not allow storage of identified cohort groups, then the device complexity is low, but the productivity is reduced due to inability to reuse segments across different datasets
Solution Approach 1:
The system performs preliminary action by allowing users to identify, define, and save custom cohort segments in advance. These pre-defined segments can then be retrieved and applied to different datasets without re-creation, significantly improving productivity while the system manages the storage complexity through efficient data structures.
Solution Approach 2:
The patent implements copying functionality where identified cohort groups can be saved and reused across multiple datasets. The system creates reusable templates of cohort definitions that can be copied and applied to different behavioral datasets, eliminating redundant work and enhancing analytical efficiency.
3Ease of operation
If the system provides detailed graphical visualization and custom segment selection interface, then the ease of operation improves, but the device complexity increases
Solution Approach 1:
The system introduces an intermediary graphical user interface that mediates between the complex data processing requirements and the user's operational needs. The interface provides visual representation of cohort groups and simplifies the selection and definition process, making the system easier to operate while the backend handles the complexity of data segmentation and management.
Data Source
AI summary
Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.