Targeted In-Product Notifications via User Telemetry Segmentation

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Solution Overview

Problem

Users experience 'notification fatigue' due to receiving irrelevant notifications, leading to decreased attention and action on relevant notifications in cloud and remote-based services.

Innovation Solution

The system collects telemetry data on user interactions to identify relevant users for targeted notifications, storing this data in a database and periodically querying it to ensure only relevant users receive notifications, reducing irrelevant messages and increasing the likelihood of users taking action on them.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If broadcast notifications are sent to all users, then service providers can communicate with all users, but users experience notification fatigue due to receiving irrelevant notifications

Engineering Contradiction:

Improvenotification relevanceVSAvoidnotification fatigue

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent segments the user base into distinct groups based on telemetry data analysis. Instead of sending notifications to all users uniformly, the system divides users into segments that share similar characteristics, behaviors, or needs. This segmentation allows notifications to be targeted specifically to relevant segments, reducing irrelevant notifications and preventing notification fatigue while maintaining effective communication channels.

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If targeted notifications are sent to specific users based on telemetry data, then notification relevance increases, but system complexity increases due to data collection and analysis requirements

Engineering Contradiction:

Improvenotification targeting capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a multi-functional notification system that performs several functions within a single integrated framework. The system collects telemetry data for multiple purposes (user profiling, behavior analysis, notification targeting), stores data in a centralized database, and uses the same infrastructure for both analysis and notification delivery. This universal approach consolidates what could be separate complex systems into one cohesive platform, reducing overall system complexity while maintaining advanced notification targeting capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10635512B2In-product notifications targeting specific users selected via data analysis

Publication Date: 2020.04.28 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Systems and methods for sending in-product notifications to individual users of a software product or a specifically identified subset of users of the software product selected via their previously observed interactions with the software product.