Miro
Adobe Illustrator
Overview
Introduction
Teamie AI provides a streamlined experience of training chatbot and integrates into daily workflow for businesses and teams, powered by Large Language Models (LLMs) like OpenAI GPT-4.
Problem
Data reveals that an average employee spends approximately 30% of their workday searching for information. Interacting with various departments for support, from computer troubleshooting to payroll queries, is often time-consuming and daunting, especially for new employees. The absence of a centralized knowledge base posed significant efficiency challenges.
Goal
The primary goal is to revolutionize access to internal knowledge through AI-powered chatbots. The design focuses on making the process less technical, more intuitive, and time-efficient, enabling even non-technical users to leverage AI capabilities.
SOLUTION
Final Outcome
Create Chatbot from knowledge base with Model Preferences
The level of customization ensures the chatbot can accurately respond to specific inquiries related to the uploaded content, making it a powerful for each unique team within an organization.
Manage knowledge base as bussiness evolves
The chatbot stays updated with the company's information through a clearly structured knowledge base.
Chat with Trained bots
The bots are trained on the company's knowledge base and can answer a wide range of queries instantly.
Manage Team Access to the Chatbots
To ensure seamless collaboration, Teamie enables leaders to manage access to the chatbots and knowledge bases.
Design Research
Observations
We initiated a user research through interviews and surveys with a range of potential users, including team leads, IT managers, and new employees. Our research revealed that over 80% employees felt overwhelmed by the amount of scattered information and needed a more streamlined way to access relevant data.
"How might we simplify and streamline the process of accessing internal knowledge to increase efficiency through generative AI technology?"
IDEATION
Design Goal
The primary goal is to develop a product that leveraged the power of generative language models in a user-friendly manner. The chat interface needs to feel intuitive and familiar to users, minimizing the learning curve. The trained model should deliver accurate responses to meet business requirements.
Information Architecture
DEsign
User Interface Design
The final product features a clean, user-friendly interface and a powerful AI that could efficiently process and deliver information from various sources within a team.
Prototype
Design System
Landing Page
What i learned from the experience
Refection
Understand Large Language models and show impact in design
I learned a lot about generative language models through this prduct and their potential in driving efficiency. I came to appreciate the intricate balance between advanced AI technology and user-centric design.
This experience underscored the importance of tuning into a business's specific needs and truly aligning with the internal knowledge challenges in bussiness' workflows. I would bring this perspective into my future work too when I am solving complex problems in a system.