Microsoft Teams Integration for Smartwatches

CHALLENGE

70-80% of Global Workforce is Deskless

Deskless workers make up a substantial portion of the global workforce. These workers operate outside of traditional desk-based office settings and are found in various industries such as healthcare, agriculture, construction, retail, manufacturing, and transportation. Most of these workers lack connection to corporate IT networks, making communication and collaboration more challenging.
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Characteristics of Deskless Workers

Their work is based on physical activity
They need both hands to perform their tasks
Their daily routine consists of a few repetitive tasks that follow a set schedule
They benefit from communication with their teams

Challenges They Face

Inefficient Task Management - Managing tasks and schedules can be chaotic and unproductive without proper tools.
Communication Gaps - Deskless workers often struggle to stay connected with the main office or team.
Lack of Work Process Digitization - Activities performed by deskless workers are mostly not digitized.

SOLUTION

Smartwatch Work Assistant for Deskless Workers

Most of these problems can be solved using already well known and user-proven technology — smartwatches. With appropriate software and connection to company systems, this solution is easily implementable. Smartwatches serve as powerful work assistants for deskless workers through three key features:

Displaying planned tasks and schedules at a glance
Providing timely vibration alerts for scheduled tasks
Enabling hands-free text and voice communication

These features are essential because they allow deskless workers to keep both hands free while staying connected with their teams—all while tasks sync automatically with Microsoft Teams.

Also Available for Smartphones

The solution is now available as a smartphone app for both Android and iPhone devices. It provides:

Enhanced Task Management: Enjoy improved notifications to keep you on top of your tasks.
Effortless Scheduling: Easily schedule new tasks for your team members directly from your smartphone.
Versatile Tool: Perfect for daily operations managers, ensuring smooth and efficient workflow management.

HOW IT WORKS

Microsoft Teams Integration

Microsoft Teams Planner Client

Microsoft Planner enables task assignment, allowing managers to schedule tasks.
These tasks sync to workers’ smartwatches, providing timely vibration reminders.
Once completed, task records automatically update in Microsoft Teams.
Simple checklists integrated into Microsoft Planner can be accessed directly on the smartwatch.
These checklists provide an efficient way to report task completion results.

External Task Master for Teams

External app designed for MS Teams integration.
Provides a clear, organized view of all tasks scheduled for users each day, ensuring everyone knows their responsibilities.
Allows to easily schedule tasks, set deadlines, and assign them to team members, streamlining the planning process.
Tracks task completion and performance, offering insights into productivity and areas for improvement.

TARGET USERS

Professions that benefit from the solution

The ideal users of WrisPlanner are operational workers who often find themselves in environments where access to a computer is limited or non-existent. These workers typically engage in tasks that make the use of smartphones impractical, either due to the nature of their work or the need for hands-free operation. For these individuals, smartwatches offer an optimal solution, providing a convenient and efficient way to manage tasks and stay connected without the need for bulky or cumbersome devices. By leveraging the capabilities of smartwatches, WrisPlanner ensures that these workers can seamlessly integrate task management into their daily routines, enhancing productivity and reducing the reliance on traditional computing devices.

ADVANCED USAGE

AI-Driven Task Execution Detection

The technology integrates task management with smartwatch data and AI to enable automatic detection of tasks performed by users.
This data, which includes various activity metrics, is anonymized for privacy and securely stored.
Advanced algorithms analyze the data to identify patterns and correlations, developing a model to recognize and categorize tasks automatically.
Once refined, the model is deployed back to the devices. These devices can then autonomously detect and log tasks in the management system without manual input, leading to the automatic digitalization of work processes and enhancing efficiency and accuracy.

More info

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