Multichannel Micro-Interaction System for Customer Feedback
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Solution Overview
Problem
Businesses face challenges in obtaining high-quality market research data due to low response rates in web surveys and decreasing customer engagement across multiple communication channels, exacerbated by distractions from new consumer technologies.
Innovation Solution
A multichannel end-user content system that uses a cloud-based server system with an API to interact with various communication channels, creating end-user-specific and client-specific profiles to determine and deliver targeted feedback content, allowing for simple and quick interactions across channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional web surveys are used to collect customer feedback, then comprehensive data can be obtained, but response rates are extremely low (less than 1%) and customer engagement is decreasing
Solution Approach 1:
The patent segments the feedback collection process into multiple micro-interactions across different communication channels (web, mobile, social media, email) rather than using a single comprehensive survey. This allows customers to provide feedback in smaller, more manageable increments throughout their journey, significantly improving response rates while maintaining data quality.
Solution Approach 2:
The system creates a universal feedback collection mechanism that operates across multiple communication channels and platforms simultaneously. A single customer interaction can be tracked and utilized across web, mobile, social media, and email channels, enabling comprehensive feedback collection without requiring customers to complete separate surveys for each channel.
2Adaptability or versatility
If multiple communication channels are provided for customer engagement, then customer convenience is improved, but it becomes exceedingly difficult to maximize engagement on any given channel
Solution Approach 1:
The patent merges feedback collection mechanisms across multiple communication channels into a unified system. Customer interactions on web, mobile, social media, and email are combined and tracked through a single platform, allowing the system to maximize engagement effectiveness on each channel while maintaining multichannel availability.
Solution Approach 2:
The system implements real-time feedback loops that monitor customer engagement across all channels and automatically adjust content delivery and interaction strategies. This enables the system to optimize engagement on each specific channel based on aggregated data from all channels, resolving the contradiction between multichannel availability and engagement effectiveness.
3Ease of operation
If new consumer technologies (Internet, augmented reality, social, mobile) are adopted, then customer access and convenience are improved, but attention spans decrease and usage becomes more distracted
Solution Approach 1:
The patent applies partial action by collecting feedback in small, incremental micro-interactions rather than requiring customers to complete comprehensive surveys. This allows feedback collection to occur in brief moments throughout the customer journey, accommodating shortened attention spans while maintaining access across multiple technologies.
Solution Approach 2:
The system implements periodic feedback collection through scheduled micro-interactions at key points in the customer journey across different channels. Rather than requiring continuous customer attention, the system periodically engages customers with brief, targeted feedback requests that fit within their distracted usage patterns.
4Loss of information
If comprehensive surveys with dozens of questions are used, then detailed market research data can be obtained, but significant time is required to complete them
Solution Approach 1:
The patent segments comprehensive survey content into multiple micro-interactions distributed across different touchpoints in the customer journey. Instead of presenting all questions at once, the system divides feedback collection into small, manageable segments that can be completed in brief moments, dramatically reducing completion time while gathering equivalent or superior data through repeated exposures.
Solution Approach 2:
The system performs preliminary actions by pre-segmenting and pre-positioning feedback requests at optimal points in the customer journey. Questions and feedback opportunities are prepared in advance and delivered at moments when customers are most receptive, eliminating the need for lengthy dedicated survey completion sessions.
Data Source
AI summary
Various systems and methods for managing multichannel content delivery are presented. A multichannel content server system may use an application programming interface (API) for interfacing with a plurality of end-user communication channels. An end-user interaction database may store interaction data for a plurality of end-users. An end-user-specific preference profile may be created based on a first end-user interaction received via a first end-user communication channel stored to the end-user interaction database for a particular end user. A request may be received originating from an end-user computing device of the end-user via a second end-user communication channel. A client-specific engagement profile may be loaded and evaluated based on the created end-user-specific preference profile. Based on the client-specific engagement profile evaluated based on the end-user-specific preference profile, content may be selected then transmission to an end-user system.