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improving-chat-organization-history-management-in-chatgpt
improving-chat-organization-history-management-in-chatgpt
Optimizing chat organization to reduce new chat creation, minimize repetition, and boost retrieval success.
Optimizing chat organization to reduce new chat creation, minimize repetition, and boost retrieval success.
Timeline
2025
Timeline
2025
Role
Role
UX/UI designer - UX Researcher
UX/UI designer - UX Researcher
Tools
Figma - OpenAI - Framer
Tools
Figma - OpenAI - Framer
Skills
Skills
UX/UI DESIGN, UX Research
UX/UI DESIGN - UX Research
Introduction
Introduction
This project focuses on improving chat organization and history management in ChatGPT to reduce unnecessary new chat creation as our main repetitive user behavior. As users struggle to retrieve past chats, they often start fresh instead, leading to fragmented context, lower productivity, and increased data usage. By streamlining organization and retrieval, the project aims to enhance continuity, boost efficiency, and promote more sustainable digital habits.
This project focuses on improving chat organization and history management in ChatGPT to reduce unnecessary new chat creation as our main repetitive user behavior. As users struggle to retrieve past chats, they often start fresh instead, leading to fragmented context, lower productivity, and increased data usage. By streamlining organization and retrieval, the project aims to enhance continuity, boost efficiency, and promote more sustainable digital habits.
My Role
My Role
I contributed in the research and design phases of the project, conducting user interviews and analyzing survey results to uncover key insights.
I was involved in the overall design process, including user flows, Hi-Fi wireframes, rapid prototyping, testing, and iteration, ensuring that design decisions were data-driven and aligned with user needs.
I contributed in the research and design phases of the project, conducting user interviews and analyzing survey results to uncover key insights.
I was involved in the overall design process, including user flows, Hi-Fi wireframes, rapid prototyping, testing, and iteration, ensuring that design decisions were data-driven and aligned with user needs.
Context
Context
It all started with a question when I tried to find an old chat in ChatGPT and couldn’t. “Why can’t I just pick up where I left off?” So, I opened a new one, again!
That was the moment I stopped and asked myself, Why is it easier to start a new chat than to continue an old one?
This simple question sparked deeper curiosity: how might we improve chat organization so users can find, reconnect, and build on their past conversations instead of starting from scratch?I contributed to the research and design phases of the project, conducting user interviews and analyzing survey results to uncover key insights.
I was involved in the overall design process, including user flows, Hi-Fi wireframes, rapid prototyping, testing, and iteration, ensuring that design decisions were data-driven and aligned with user needs.
It all started with a question when I tried to find an old chat in ChatGPT and couldn’t. “Why can’t I just pick up where I left off?” So, I opened a new one, again!
That was the moment I stopped and asked myself, Why is it easier to start a new chat than to continue an old one?
This simple question sparked deeper curiosity: how might we improve chat organization so users can find, reconnect, and build on their past conversations instead of starting from scratch?I contributed to the research and design phases of the project, conducting user interviews and analyzing survey results to uncover key insights.
I was involved in the overall design process, including user flows, Hi-Fi wireframes, rapid prototyping, testing, and iteration, ensuring that design decisions were data-driven and aligned with user needs.
User Friction Points
User Friction Points
We combined insights from Reddit, ChatGPT forums, app reviews, and our own network. The feedback revealed recurring struggles with chat organization, history navigation, and workflow support.
We combined insights from Reddit, ChatGPT forums, app reviews, and our own network. The feedback revealed recurring struggles with chat organization, history navigation, and workflow support.
Discovery through survey
Our research began with a comprehensive survey of 150 ChatGPT users, complemented by 10 in-depth interviews and contextual inquiries to establish baseline metrics and uncover key pain points. The findings revealed a scaling crisis, as usage grows, managing and retrieving information becomes increasingly difficult.
Discovery through survey
Our research began with a comprehensive survey of 150 ChatGPT users, complemented by 10 in-depth interviews and contextual inquiries to establish baseline metrics and uncover key pain points. The findings revealed a scaling crisis, as usage grows, managing and retrieving information becomes increasingly difficult.
Interviews & Contextual inquiry Validates Findings
Interviews & Contextual inquiry
While the survey quantified user behavior, interviews and contextual inquiries helped explain why it happens. These sessions provided qualitative depth, capturing frustrations, habits, and unmet needs behind the numbers.
More Works More Works
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Talespin app
Talespin App is an immersive VR training app where learners engage with a virtual human in a conversational dialogue to gain and improve soft skills that are becoming more in demand in this new age of AI.
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