#Project manager #User Experience Designer
This is my master degree graduation project at Royal College of Art.
I managed schedule, conducted user research, designed prototype UI and built demo version bot with one teammate.
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 investigated 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.
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.
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.
Problem
Problem we found
The main problem we found is that inefficiencies in communication and alignment are increasing the user's workload and decreasing their job satisfaction.
Upon closer examination, the user is experiencing excessive and redundant alignment processes.
When the user informs stakeholders about their report, they are often confused about where to post it or whom to tag.
As a result, the report occasionally fails to reach the stakeholders who need it.
Additionally, users are concerned that their performance may be evaluated poorly due to a limited internal network.
Lastly, it’s challenging for the user to predict and manage various tasks because they participate in several projects simultaneously.
Who is our target user
Our persona Joey is a Senior product designer who just began a new job at the Global IT company and is eager for work-life balance.

She wants to focus on her design task, but she can’t.
She spend too much time in communication and alignment, which makes her put less time for design tasks.
How Might We
What's our Mission and Approach
We state our mission as HMW... help designers to collaborate with others effectively by enhancing ways of communication and alignment.
As so, we built 3 main features.
Communication supporter helps stakeholders stay informed by linking dispersed data in various communication tools.
Knowledge Librarian expands the range of accessible resources and provides helpful information.
Lastly, Active Tracker support user with task managing. 
Communication Supporter
When the user starts to work in the morning,
the mailbox is full of emails that the user has to read or not necessarily have to read.

So, Communication Supporter actively starts the conversation to address the emails which are highly related and urgent.

Not only emails, Communication Supporter helps the users to digest content on chats, boards, etc.

This is available because WORKMATE.AI integrates diverse communication tools to collect work data.
Knowledge Librarian
For the next scenario,
Joey wants to find an AI expert to get help from.

Without Workmate.AI she has to search for the colleague on the contact list and look at their work history.
Or she can ask her manager for help. But in that case, she has fewer options.

With workmate.AI, because it collects data, it can help you find helpful, highly related professionals in the company.
Additionally, it recommends the available time slot for the meeting.
Active Tracker
The active tracker automatically organizes projects and tasks using work data.
This is big difference with other current productivity tools which need to be input data manually.

For the detail Zoey assign 3-5 project at the same time. For managing Zoey’s project, Workmate.AI organizes and list project status through Agile process.

Zoey can easily check new tasks, requests, and overdue tasks using the Task Report. Also, Workmate.AI recommends task priorities based on urgency and importance and informs Zoey through chatbot or messenger.
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 Type Testing
We conducted a demo test with exhibition audiences and received feedback related to data connectivity & engagement.
Service Strategy - Direction
We were able to build our service direction. Easy Connection, Safe & Easy data management, Personalized service for each user.
Service Strategy - Business Model
From user feedback and interviews, we were able to define a service strategy based on our customer base and current situation. We proposed subscription model for small business customer and enterprise on premise model for Large scale customer.

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