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.




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©2025 SABA AGAHI

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©2025 SABA AGAHI

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©2025 SABA AGAHI

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©2025 SABA AGAHI

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