CoDesign
Mind-map Generation with Artificial Intelligence
At Tencent CoDesign, I designed an AI-powered feature that automates mind-map generation from raw brainstorming keywords. By introducing prompt-guided inputs and one-click editable outputs, we eliminated manual node formatting.
Tencent CoDesign · Product interface
Inside the Panel
Before the three AI directions, here is the mind-mapping panel itself and what each part does.
Map Style
Switch between different mind-map layouts and visual styles.
AI Assistant
Ask the AI assistant a question, or generate a full mind map from a prompt.
- AI Q&A: ask the assistant for help while you work.
- Mind-map generation: turn a prompt into a full map in one click.
Insert Attachment
Attach a file directly to a node.
Doc to Map
Convert an existing document into a structured mind map.
Element Link
Connect related nodes across the map with a reference link.
More
Open additional panel tools and settings.
Tencent CoDesign · AI interaction exploration
Mind Map & Document Conversion
Goal. Turn scattered research notes into a clear, structured conclusion without manual cleanup.
Pain Points
Design strategy
Doc to Map. Convert a raw research document into a structured mind map automatically.
AI clustering. Group scattered notes into themes so patterns are easier to see.
One-click summary. Generate a written conclusion straight from the mapped research.
Clicking the Doc to Map icon on a completed mind map.
Text state, the same content as a plain outline.
Document state, a compact linear layout of the same map.
Tencent CoDesign · AI interaction exploration
AI Feature Panel
Goal. Judge a feature set and its layout quickly, with the specialized knowledge to back the call.
Pain Points
Design strategy
AI categorization. Automatically group features into structural categories as the map is built.
Inline AI explain. Select a term and get a plain-language explanation without leaving the canvas.
Layout comparison. Summarize the strengths and weaknesses of comparable products' page layouts.
The AI icon in the toolbar opens the panel from any selected topic.
The panel splits into AI Q&A and three ways to generate a mind map.
02.1
AI Interactive Q&A
Ask the panel a question and get an answer without leaving the canvas. I explored this in two directions: recognizing text already on the canvas, and answering an open-ended question with a generated diagram.
AI Text Recognition
Goal. Type in a few keywords and have the AI explain and suggest from there.
Pain Points
Selecting Text Recognition from the AI panel.
The AI reads the node while it works.
The result attaches to the node, ready to regenerate.
AI Q&A Assistant
Goal. Get a quick response that checks whether a summary is actually accurate.
Pain Points
Choosing a generation type, like a flowchart.
Or typing a specific question for the AI to answer.
The AI builds a full flowchart answering the question.
02.2
Mind Map Generation
Generate a mind map in different styles, matched to what the content needs.
Goal. Get from a scattered structure to the real need, and a flow with the duplicates merged out.
Pain Points
A SWOT analysis, generated as one of the mind-map styles.
Any topic box can be expanded to add or collapse its own nodes.
Tencent CoDesign · AI interaction exploration
Classification Summary & Keyword Extraction
Goal. Go straight from a pile of features to a clean, professionally categorized summary.
Pain Points
Clicking add on a category opens the AI Assistant panel.
Keyword Extraction highlights the key term in each category, so the point reads at a glance.
Classify + Next Topic proposes a follow-up topic drawn from the categories.
Tencent CoDesign · Validation
User Testing & Validation
Before shipping, we tested all three AI directions against real workflows with a cross-functional panel of 5 colleagues.
Result
increase in idea-structuring efficiency post-launch, after internal usability testing and feedback synthesis lowered creation barriers for cross-functional teams.
Tencent CoDesign · Reflection
Reflection
I am immensely grateful to my mentor, colleagues, and Design Director for their constant support and guidance in designing the AI mind-map feature at Tencent CoDesign. This process deepened my understanding of human-AI collaboration. I learned that designing for AI is about finding the optimal balance between AI assistance and user control. While our problem framing was validated and shortlisted for the product roadmap, my biggest takeaway was to never settle on the first solution, but to continuously push for more intuitive interaction patterns.