Personalized Data Feed Visual Augmentation for Goal Progress
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Solution Overview
Problem
Users face frustration and inefficiency when navigating data feeds due to the overwhelming number of items, making it difficult to identify beneficial content amidst irrelevant information, leading to wasted time and reduced engagement.
Innovation Solution
A personalized data feed system that generates visual augmentations and progress indicators for goal-related items, using interaction data to calculate and display a user's progress towards personalized goals, prioritizing items based on relevance and encouraging engagement by highlighting beneficial content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review every item in the data feed to find beneficial content, then they can identify useful items, but it consumes excessive time and reduces efficiency
Solution Approach 1:
The system pre-calculates and displays goal completion metric values and progress indicators for each data feed item before user review. This preliminary organization allows users to immediately see which items contribute to their goals without manually evaluating each item, thus maintaining identification accuracy while dramatically reducing review time
Solution Approach 2:
The patent introduces an intermediary computational system that acts as a mediator between the raw data feed and the user. This system automatically analyzes items, calculates goal relevance metrics, and presents processed information with progress indicators, eliminating the need for users to perform manual evaluation while preserving accurate identification of beneficial content
2Quantity of substance
If the data feed contains a large number of items to provide comprehensive content, then users have more content to choose from, but it becomes difficult to identify beneficial items amidst irrelevant information
Solution Approach 1:
The patent applies local quality by differentiating the visual presentation of items based on their goal relevance. Items with higher goal completion metrics receive prominent visual indicators (such as progress bars or highlighted markers), while irrelevant items lack these indicators. This allows all items to be present in the feed, but beneficial items are locally enhanced to stand out, preventing information loss despite large quantity
Solution Approach 2:
The system utilizes visual differentiation through color changes and graphical indicators to encode goal relevance information. Items contributing to user goals are displayed with distinct visual markers (such as colored progress indicators), enabling users to quickly scan and identify beneficial content among numerous items without losing visibility of useful information
3Productivity
If the data feed encourages extensive interaction to maximize engagement, then platform engagement increases, but users spend time on items with little or no actual benefit
Solution Approach 1:
The patent implements feedback by displaying goal completion metric values that update as users interact with items. This feedback mechanism guides users toward items that will help them achieve their goals, ensuring that engagement time is spent on beneficial content. The system monitors interaction patterns and adjusts recommendations, maintaining high productivity while eliminating waste on irrelevant items
Solution Approach 2:
The system performs preliminary filtering and ranking of items based on goal relevance before presentation to users. By pre-organizing the feed to prioritize items with higher goal completion metrics, the system ensures that users' engagement time is automatically directed toward beneficial content, maintaining high productivity without requiring users to manually filter irrelevant items
Data Source
AI summary
Examples provide a personalized data feed having progress indicators showing progress indicators associated with goal-related action items in the feed to assist users in achieving personalized objectives. A goal-related progress indicator is generated within the personalized data feed indicating a user's progress towards completing the goal. A per-item progress indicator is generated for each uncompleted item indicating additional predicted progress towards achieving the personalized goal if the item is completed by the user. A visual augmentation is provided within the data feed to identify items in the feed which assist the user in achieving the personalized goal, such as documents to read or review. This motivates the user to interact with the item to work towards completing their goal, as well as provides a comparative and/or quantitative measure of potential goal-related benefit to be gained by interacting with various items in the feed.