Dynamic Feedback Generation for User Engagement

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Solution Overview

Problem

Users often drop off without completing online forms due to a lack of engagement, as existing methods fail to provide relevant and interesting feedback based on user input, profile, or contextual information.

Innovation Solution

A system dynamically generates interactive feedback using contextual information such as user input, profile, or page content, providing relevant data to users, which is updated periodically and tailored to their interests, encouraging them to complete registration or input tasks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users are prompted to input personal information through online forms, then the service provider can obtain user data and understand user intent, but user engagement decreases and users drop off without completing the tasks

Engineering Contradiction:
Improveuser personal informationVSAvoiduser engagement
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The system implements dynamic feedback by providing users with real-time, contextual information in response to their form inputs. The feedback engine analyzes user inputs and generates relevant responses that are displayed to users, creating a conversational interaction loop that keeps users engaged while collecting necessary personal information.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The feedback system is dynamically generated based on user context rather than being static. The system adapts the feedback content, timing, and type based on user behavior patterns, input stage, and contextual information, making the form-filling experience responsive and engaging rather than rigid and tedious.

Inventive Principle:
Principle #15Dynamics

2Productivity

If static feedback is provided to users during form completion, then implementation is simple, but the feedback is not pertinent to users' interests and fails to increase engagement

Engineering Contradiction:
Improveuser engagementVSAvoidfeedback generation system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The feedback system serves itself by automatically generating relevant feedback content based on user inputs and contextual data. The feedback engine autonomously analyzes user behavior and generates appropriate responses without requiring manual intervention, making the system self-adaptive and reducing operational complexity despite the sophisticated feedback generation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system pre-prepares and stores contextual information and feedback templates in advance. By having feedback content pre-generated and organized based on potential user scenarios, the system can quickly retrieve and display relevant feedback without complex real-time processing, reducing the perceived complexity during actual user interaction.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If contextual information is collected and processed to generate dynamic feedback, then user engagement increases, but system complexity and data processing requirements increase

Engineering Contradiction:
Improveuser engagementVSAvoiddata processing system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The feedback system is segmented into distinct functional modules: data collection module, contextual information storage module, feedback engine, and display module. Each module handles specific tasks independently, allowing the system to manage complexity through modular architecture while still processing contextual information effectively to generate engaging feedback.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10210535B2Dynamically generating feedback based on contextual information
Publication Date: 2019.02.19 MICROSOFT TECHNOLOGY LICENSING LLC
  • US10210535B2 patent drawing
  • US10210535B2 patent drawing
  • US10210535B2 patent drawing

AI summary

Techniques for dynamically generating feedback based on contextual information and providing the feedback to a user are provided. A service provider determines, based on contextual information related to a user (such as personal information previously provided by the user) interactive data to display to the user. The type of interactive data may correspond to the type of personal information submitted by the user or derived by the service provider. The interactive data may be based on other users that have already registered with the service provider. In this way, a user is able to (1) view current and relevant information that is related to the user and (2) see the value that the user receives by providing additional personal information. Subsequent interactive data may be based on multiple personal data items that the service provider receives from the user. These techniques are also applicable after a user has registered with a service provider.