Strategic Recommendations for Chat History Management and Retrieval Features

Dear Google Gemini Team,

I hope this email finds you well.

I am an intensive user of Gemini, relying heavily on it as a core artificial intelligence assistant in my daily work. Firstly, I must commend Gemini for its remarkable intelligence in understanding complex contexts and analyzing in-depth problems. This undoubtedly represents the forefront of AI assistance and has significantly boosted my work efficiency.

Precisely because Gemini’s powerful core capabilities attract users for deep and long-term engagement, some fundamental features 아직 to be refined in the current interactive interface have a magnified marginal impact on the user experience. I would like to offer two key suggestions in this regard, believing these improvements will not only significantly optimize the existing user experience but also further consolidate and elevate Gemini’s market position as a leading AI assistant.

Core Bottlenecks and Opportunities for Improvement:

  1. Lack of Dialogue Organization and Management Capabilities — An Obstacle from “Information Stream” to “Knowledge Base”:
  • I do appreciate the current fun feature allowing users to add a custom emoji to chat names, which adds a nice personal touch. (Of course, in the chat history of the latest 2.5 Pro Preview version, the emojis are no longer visible, although they can still be defined. In this situation, I’m unsure what the significance of this emoji-defining function is.) However, all chat histories are currently displayed in a single, flat timeline (as shown in the screenshot I previously provided). As the number of conversations accumulates, users face significant challenges in navigating and managing specific projects or topics. This not only reduces work efficiency but also inadvertently increases the user’s cognitive load.
  • In practical application scenarios, users often engage in multiple, continuous interactions with Gemini centered around specific projects or long-term tasks. Introducing organizational mechanisms such as conversation grouping, tagging, or folders would allow users to structurally manage related dialogues. This would elevate Gemini from an instant Q&A tool to a more valuable, personal/project knowledge base where insights can be consolidated and reused. This is crucial for enhancing user stickiness and expanding the depth of application.
  1. Scarcity of Historical Dialogue Content Retrieval Functionality — Insufficient “Discoverability” of Valuable Information:
  • Users frequently need to find specific conversation snippets or important information points from days, weeks, or even longer ago. However, in the absence of an effective content retrieval function, accurately locating specific content buried in historical records is akin to finding a needle in a haystack, even if chat titles offer some guidance.
  • Introducing a keyword-based full-text search function is a basic yet highly effective user empowerment measure. This would greatly enhance the “discoverability” of historical information, ensuring that the intellectual output generated from past interactions with Gemini can be conveniently reused rather than being “lost” over time.

Strategic Value and Feasibility Considerations:

The two suggestions above do not call for a revamp of Gemini’s core AI engine but rather focus on fundamental features that enhance information management efficiency and user interface friendliness. These functionalities have mature implementation solutions in the industry, and their technical threshold is relatively low. However, once implemented, they would deliver a high return on value for users: significantly improving work efficiency, reducing information management costs, and strengthening long-term user reliance on the Gemini platform.

Perfecting these “last mile” aspects of the user experience will enable Gemini’s powerful AI core capabilities to better serve its users, preventing the overall product competitiveness from being undermined by the absence of basic management tools.

I firmly believe that the Gemini team is committed to creating an industry-leading artificial intelligence experience. I sincerely hope these suggestions, born from in-depth user experience, will be taken into your consideration. I look forward to Gemini bringing more surprises and value as it continues to evolve.

Thank you for your valuable time.

Sincerely,

A dedicated and expectant user of Gemini

Hi @Yulong_JIE ,

Thank you for your feedback and ideas — we truly appreciate you taking the time to share them. I’ll pass your input along to our internal team for review and consideration.