AI Product DesignCognitive UXComplex Systems Design

ChatGPT

Designing a Structured AI Workspace Experience

A conceptual UX case study exploring how users navigate, revisit, and manage long AI conversations. Focused on information architecture, mental models, and sense-making at scale.

ChatGPT case study cover
Introduction

We’ve all been there you remember a brilliant GPT answer, but can’t find it again. That’s why we built a fix.

We were frustrated too! finding old chats felt harder than it should. That's exactly why we decided to tackle this problem.

Illustration of a frustrated user scrolling through chats

Overview

Introduction

A conceptual UX case study exploring how users navigate, revisit, and manage long AI conversations. Focused on information architecture, mental models, and sense-making at scale.

Methods

  • Desk Research
  • User Interviews
  • Contextual Inquiry
  • User Persona
  • Competitor Analysis
  • Impact-Effort Matrix
  • 5 Second Test

Summary

Our Team2 Product Designers
My RoleUser researcher, Visual designer
DurationMay 2025-July 2025
Our MentorMarzie Nadali
What are we trying to understand?

The Smartest Assistant Still Needs Smarter Organization !

We conducted field research across platforms like Twitter, Reddit, and YouTube comments to uncover users' biggest frustrations with chat management in ChatGPT.

Cinaro Caligari

Cinaro Caligari

“ChatGPT really needs folders or tags to organize chats. It gets messy when you have convos on different topics. Being able to sort them — or even auto-tag them — would make things way easier. @samaltman @OpenAI”

Key Repeating Patterns

What patterns keep showing up across user feedback?

Even with the launch of Projects, users still face challenges. Whether on Reddit or Twitter, people consistently highlight gaps in how ChatGPT supports continuity, organization, and memory.

🧠

Smarter chat organization

Users want to group chats by topic or project, not just scroll through a long list.

💬

Ongoing conversation flow

They want to continue where they left off, without searching or losing context.

🔍

In-chat search needs

Since they can't search inside chats, many turn to extensions or outside tools.

🗂️

Projects ≠ real workflows

Projects feel too static. Real work changes and grows over time.

🤝

Missing collaboration

Users want to share projects with others, not just keep them private.

📎

Context-aware files

They expect ChatGPT to understand and use their files, not just store them.

Watching Real People Work

Validating Patterns Through Real Conversations

We ran interviews and contextual inquiries to see if the issues we found in online comments showed up in real use. Watching how people use ChatGPT in their daily flow helped us spot what truly gets in their way.
User interviews and contextual inquiries session screenshots
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Why can't I search inside a conversation?

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I still end up pasting my important things into Word.

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I just open a new conversation every time. It's easier.

Assumptions Meet Reality

What We Got Right And What We Didn’t

Our interviews and contextual observations helped us separate facts from guesses. What do users actually need, and what did we just assume.
Smarter chat organization
Missing In-Chat Search
Projects Feel Static
Global Search Gets Overlooked
Misused of Share Button
Saving info outside GPT
Context-Aware Files & Notes
Missing Collaboration
Ongoing conversation flow
Who Are We Designing For?

From Casual Prompts to Project Workflows: GPT Usage Patterns

We identified two key user types, casual and professional. Each with distinct needs and friction points. By mapping their usage habits and frustrations, we uncovered patterns that shaped our design direction.
Casual User

Casual User

User Story:

Uses GPT casually for tasks like homework, language practice, lifestyle tips, or image creation. Opens many short chats, but rarely sticks with one for long.

Professional User

Professional User

User Story:

Uses GPT for deeper, project-based tasks like prepping files, getting feedback, and progressing work. Fewer chats, but each is more focused and long-term.

Competitive Analysis

What Others Do Well And Where AI Chats Still Fall Short

We compared ChatGPT with other AI Chatbots and productivity tools to see what features they've nailed and where they still struggle. This helped us identify inspiration points as well as clear opportunity gaps.

Where Everyone Loses Track

Most AI chat tools like ChatGPT, Claude, and Copilot are fast but unstructured:

  • No folders or grouping to structure projects
  • Poor in-chat search, so old insights get lost
  • Limited chat management, making long-term work a mess

Where Others Shine

Apps like Gemini, Poe, and Coda AI are already tackling organization by offering:

  • Privacy-first sharing (customizable link permissions)
  • Pinned chats (keep key threads front and center)
  • Clean timelines (simple browsable history even in free versions)
Design Decision

Turning Frustrations into Design Opportunities

We compared ChatGPT with other AI and productivity tools to see what features they've nailed and where they still struggle. This helped us identify inspiration points as well as clear opportunity gaps.
Design Opportunities Sticky Notes
Prioritizations Matrix

Which solutions matter most to each user?

Although John and Sara face many of the same struggles, they use ChatGPT in different ways. We prioritized ideas based on their unique workflows, so each one gets the most out of their experience.

High Impact

Low Effort (Quick Wins)

🚀

📌Pin Chats Up Top

Let users keep important chats at the top. Easy to pin, unpin, or reorder by dragging.

💾Save Important Responses

Let users save key messages from any chat and can easily access them in a 'Saved' section on the dashboard.

📈Project Evolution

Instead of just acting as a folder or container, it will now serve as a space for tracking progress. Users will be able to monitor timeline progress, see key topics, and review shared files all in one place, making it more of a dynamic space for task management and project evolution.

🔍Search Inside Chat

Let users search within a single conversation to quickly find what they need.

High Impact

High Effort (Strategic)

🔎Smart Search Filters

Make it easier to find chats with filters like date, folder, tags, file type, or saved content.

🧠Chat Memory Mind Map

Show instead of a linear list of chats, visualize all your chats as an interactive neural map. Topics branch off like synapses: 'German Practice' -> 'Grammar Help' -> 'Modal Verbs'.

🔗Related Messages Across Chats

See connected messages from different chats in one place and each linking back to its original spot.

🧩Conversation Blocks

Let users break chats into smaller, movable (Drag & Drop) blocks. They can group related parts together, save key blocks, or pin them for quick access.

🏷️In-Chat Topic Tags

Auto-generate tags for key topics inside a chat. Tap a tag to jump to that section and navigate long chats faster.

🏠Workspace as Homepage

Users land in a dashboard like Figma Home. They see pinned chats, folders, recent activity, saved responses, and a search bar, all in one place. It's editable, organized, and makes ChatGPT feel more like a workspace.

Low Impact

Low Effort (Fill-ins)

🛠️

📁Quick-Switch Folders

Switch between folders or projects using tabs for faster, smoother navigation.

📝Future Notes

Let users leave a short note with a reminder for their future self refer to a specific chat or decision. Example: 'Remind me in 5 days about the UX flow.'

📑Layered Summarization System

Layered Summarization System in Chat GPT for their future self refer to a specific chat or is a 'layer' and each subtopic is a 'sublayer.' Within one chat, you can ask for individual summaries of each layer or sublayer, and even compile all summaries together.

Low Impact

High Effort (Maybe Later)

🖼️Screenshot-to-Search

Let users upload a screenshot from a chat and find related messages across all previous conversations.

📤Clear & Controlled Sharing

Let users choose exactly what they're sharing, the whole chat or selected messages. So they stay in control and know what others will see.

⌨️Search by Command

Let users type things like 'Find the chat about design' and GPT instantly pulls it up.

📂Nested Folder Hierarchy

Advanced folder structures like 'Work > Client A > Round 1'.

Turning Ideas into UI

Designed for How People Actually Work

We wanted to fix the little things that were quietly frustrating people every day, like lost files, forgotten chats, and not knowing where to click next. Every small change we made was based on real problems users were facing.

Dashboard View – Card Layout
Live Chat Preview
Smart Organization

Surfaces key sections and chat previews in a scannable layout for faster navigation.

From static folders to dynamic project tracking

Enabling users to manage conversations, files, and progress in one continuous workspace.

Project Overview
Shared Files
Pinned Chats

Provides a structured timeline to monitor progress and milestones.

Search smarter, navigate faster

Turning fragmented information into instantly accessible knowledge.

Saved Tags
In-Chat Search
Global Command Search

Structures conversations with custom labels for faster retrieval.

Highlight what matters, save it where it belongs.

Transforming conversations into structured knowledge assets.

Select & Save Key Responses
Move Highlights to Collections

Extracts valuable content from conversations for long-term reuse.

Validating with users

Where We Nailed It & Where We Missed

We showed our design to 5 previous interview participants for 5 seconds and asked quick, targeted questions to understand if core features and purpose are immediately clear. Their reactions helped us spot what felt intuitive and where more clarity or refinement was still needed.

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Feels like a smart way to search inside a long conversation. I often forget where something was said, so this would save time.

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Finally, I don't have to copy everything into Word anymore. Being able to save and revisit responses in one place makes things way easier.

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The new layout feels better, but I still end up starting new chats each time. Maybe clearer guidance or reminders could help me reuse old ones more.

Success Metrics

Did our features actually help people work smarter?

We tracked how users interacted with our new features over a 2-week period. Here's what we learned about the core value of design decisions in clarity, usability, and how they align with our vision.

Response Reuse

  • More often reused and highlighted saved responses
  • Less time spent copying to external tools
  • Fewer new chats created unnecessarily

Search Efficiency

  • Time saved from faster search results
  • Fewer clicks to find and reuse content
  • Improved task completion rates

Project Engagement

  • Higher number of projects completed
  • More consistent use of project organization features
  • Fewer interactions with help text and tooltips

Flow, Not Just Features

  • Smoother transitions between different tasks
  • Less time spent switching between tools
  • More time spent inside the workspace

As we conclude...

Even the smartest tools, like GPT need thoughtful design to truly serve their users. While these AI systems are fast and capable, we learned that intelligence alone isn't enough. When users spend hours daily in a tool, it must evolve into a real workspace, not just a chatbot answering questions. Our goal wasn't to add more tiny features. It was to rethink the workspace entirely. We focused on turning GPT into a place where people can work, organize, and stay focused, without jumping between tools. Because when AI feels like a true workspace, it's not just powerful. It's personal, practical, and productive.
Available for new projects

Interested in working together?

Whether you're building a product, improving an existing experience, or looking for thoughtful UX feedback I'd love to collaborate.

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