Struggle Identification System Using Statistical Ratio Analysis
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Solution Overview
Problem
Current struggle analytics solutions fail to automatically identify areas within websites or applications where customers are encountering difficulties as they navigate through funnels, leading to incomplete goals due to lack of effective analysis of session breakdowns across stages.
Innovation Solution
A system and method that utilize processing circuitry to analyze first and second stage entries associated with characteristics, calculating ratios and identifying deviating values using statistical tests like the chi-squared test to indicate user struggle, providing alerts for user investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If current struggle analytics solutions are used, then manual analysis of session breakdowns is required, but automatic identification of struggle areas is not achieved
Solution Approach 1:
The system performs self-service by automatically analyzing session data and identifying struggle areas without requiring manual intervention. The processing circuitry autonomously calculates entry ratios, performs statistical tests, and generates alerts for struggle conditions, enabling the system to serve itself in the analysis task.
Solution Approach 2:
The patent replaces manual mechanical analysis with automated electronic processing. Processing circuitry substitutes human analysts by electronically computing entry ratios, executing statistical tests (such as chi-squared tests), and automatically generating struggle identification alerts, thereby eliminating the need for manual session breakdown analysis.
2Measurement precision
If session breakdown analysis is performed across all stages, then comprehensive struggle identification is achieved, but computational complexity increases
Solution Approach 1:
The system segments the funnel into multiple stages and analyzes each stage independently by calculating entry ratios between consecutive stages. This segmentation allows comprehensive struggle identification across all stages while managing computational complexity through modular, stage-by-stage analysis rather than holistic processing.
Solution Approach 2:
The patent applies local quality by focusing analysis on specific stage transitions where struggle may occur. By calculating entry ratios and performing statistical tests locally at each stage boundary, the system achieves precise struggle identification without the computational burden of analyzing all session data uniformly across the entire funnel.
3Measurement precision
If statistical tests are applied to identify deviating values, then struggle detection precision is improved, but processing time increases
Solution Approach 1:
The system applies partial action by performing statistical tests only on relevant stage transitions where struggle is suspected. Rather than applying exhaustive statistical analysis to all possible data combinations, the processing circuitry focuses computational resources on calculating entry ratios and performing tests only for stages showing abnormal patterns, thereby improving detection precision while controlling processing time.
Data Source
AI summary
A struggle identification system, the system comprising processing circuitry configured to: obtain first information of first entries into a first stage and second information of second entries into a second stage, each entry of the first entries and each entry of the second entries is (a) performed during a respective session for performing an action, and (b) associated with a characteristic characterizing the respective session, wherein the characteristic is a discrete variable with a number of values; calculate, for each given value of the values, (a) a first entries number being the number of first entries associated with the characteristic having the given value into the first stage, and (b) a second entries number being the number of second entries associated with the characteristic having the given value into the second stage; and identify one or more deviating values of the values, wherein a deviating value is a value of the values associated with a first ratio between the first entries number and the second entries number of the deviating value that deviates from a second ratio of the first entries number and the second entries number for the values other than the deviating value, as determined by a statistical test, wherein the deviating values are indicative of struggle of users of sessions characterized by the characteristic with the deviating values to complete the first stage.