Workmate.AI

Overview

‘Workmate.AI’ is a generative AI assistant service based on company work data

People spend 30% of their lifetime working, but according to an OECD survey, about 80% of workers experience mental stress.

Our team researched the stress factors of these workers, and we identified the main causes. They experience excessive communication for task alignment, which leads to overtime work to complete their main tasks.

Workmate.AI helps reduce the communication burden and provides a knowledge search bot to ensure equal access to information and experience.

Research Institute

Royal College of Art

Project Skills

User Research
User Experience Strategy
User Experience Design

Deliverables

Service Proposal
User Research insights
UX Hi-fi Prototype
Demo

Project Date

Mar 2024 - Jul 2024
3 Month

Context & Background

WHY THE WORKPLACE?

Have you thought about how much we work in our lives?

According to a research, people tend to spend one-quarter of their lifetime at work. But unfortunately, over 80% of the staff are suffering from work related stress.

Context & Background

Survey And Interview

With this understanding, we started to listen to actual users voice.

84% of staffs reported they experienced working beyond the regular hours - particularly to address colleagues' needs. Through interview, we found out Product Designers in the IT Industry spend 80% of their working hours in communication and alignment. Even though they are spending tons of time in communication, misunderstandings and the blind spots are still there.

User Research : Problem Statement

Problem We Found

The inefficiencies in communication and alignment create additional tasks for employees to complete core tasks, which increases the workload and decreases job satisfaction

User Research : Persona

Target Persona

Our persona, Joey, is a Senior Product Designer at a global IT company. She wants to focus on her core tasks, but frequent meetings and alignment discussions take up much of her time. As a result, she often lacks sufficient time for design work, leading to overtime and concerns about her career path.

Hyphothesis : HMW Approach

“How Might We enhance communication and alignment to help designers collaborate effectively, allowing them more time for core tasks, improving job satisfaction, and supporting work-life balance?”

Outcomes : Wireframe

Workmate.AI

An AI colleague understands my work history and the background of stakeholders I collaborate with, providing me with relevant tasks like a friendly teammate and sharing work knowledge like a manager.

Communication Supporter

Outcomes : SYSTEM MAP

Workmate.AI Data Flow

This is our system map. Each company can easily connect their workdata with workmate.AI

And If users request, Workmate.AI hand over this request to AI Model without workdata. And AI model classify request and process with algorithm. And our product generate contents by using workdata and algorithm. This process can secure each company’s data more safely.

Demo Testing : Workmate.AI Knowledge Bot

To conduct testing with end-users, we created a demo version of a bot to be showcased at the RCA service design exhibition, where product designers gather.

The demo version was built using KakaoTalk as channel, applying UX components we designed for Communication Supporter and Knowledge Librarian.

We stored service design-related PDF files, our CV and schedule on a database server and implemented Elasticsearch(BM25)-based content prioritization search and GPT-4 API functionality to generate answers from the searched content, which was demonstrated during the exhibition.

Outcomes : Demo Testing Insights