Customer Satisfaction Dashboard with Dynamic Weighting
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Solution Overview
Problem
Measuring customer satisfaction across diverse business units in a large company is challenging due to variations in what areas to query, subjectivity levels, and selecting appropriate weighting criteria that reflect business impact, especially since different factors have varying importance across industries and product types.
Innovation Solution
A system and method that compiles, weights, and displays consumer business metrics by recognizing fundamental topics affecting consumer impressions, applying business-specific factors, and using algorithms to develop experience, interaction, and composite scores for companies, with customizable weighting to reflect relative impact, allowing for industry-specific adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a standardized customer satisfaction measurement approach is used across all business units, then consistency in evaluation is improved, but the ability to reflect business-specific importance of factors deteriorates
Solution Approach 1:
The patent segments the customer satisfaction measurement system into standardized core components (survey structure, response scales, data collection methods) and customizable business-specific components (factor weighting, topic prioritization, industry-specific metrics). This allows consistent evaluation frameworks while accommodating business-specific的重要性 of different factors through configurable weighting schemes.
Solution Approach 2:
The system maintains consistent measurement parameters (survey questions, response scales, data collection protocols) across all business units while allowing customization of weighting parameters. Each business unit can adjust the relative importance weights of different satisfaction factors based on their specific industry context, product type, and customer expectations, resolving the contradiction between standardization and adaptability.
2Adaptability or versatility
If detailed business-specific customization is allowed for each business unit, then relevance to specific business context is improved, but complexity of the measurement system deteriorates
Solution Approach 1:
The patent implements a universal measurement platform that serves all business units through a common survey infrastructure, data collection system, and analysis framework. This multi-functional system handles diverse business-specific requirements through configurable parameters rather than requiring separate custom-built systems, reducing overall complexity while maintaining adaptability.
Solution Approach 2:
The system employs dynamic weighting schemes where business units can adjust factor importance weights based on their specific context, but these adjustments are made within a standardized framework. The configuration interface allows flexible customization without requiring complex system modifications, enabling adaptability while controlling complexity through a unified management approach.
3Measurement precision
If multiple weighting criteria are developed for different industries, then accuracy in reflecting business impact is improved, but difficulty in selecting appropriate criteria deteriorates
Solution Approach 1:
The patent provides pre-configured weighting schemes and criteria sets for different industries and business types (e.g., financial services, healthcare, retail). These preliminary configurations are developed based on industry best practices and research, allowing business units to quickly select appropriate weighting criteria without having to develop them from scratch, thereby improving accuracy while reducing selection difficulty.
Solution Approach 2:
The system incorporates feedback mechanisms that allow business units to evaluate the performance and relevance of different weighting criteria sets. Based on this feedback, the system can refine and adjust pre-configured weighting schemes, making it easier for businesses to select appropriate criteria while maintaining high accuracy in reflecting business-specific impacts.
Data Source
AI summary
An instrument for measuring and presenting customer impressions of a company uses weighted response values of survey questions to develop a customer experience score and a customer interaction score. The two scores are added to produce a composite score. The three scores for a company may be presented with other score sets for other companies to provide a simple and consistent comparison of companies. When different businesses or even different industries have different customer experiences and interactions, weighting of response values can be adjusted to more accurately reflect the importance of that factor on the overall customer experience, which models customer satisfaction.