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We-Design

Tencent WeChat Design Center, handling design and UX research for WeChat products.

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Recent Articles

Latest from We-Design

69 recent articles
We-Design
We-Design
Oct 16, 2026 · User Experience Design

AI Prototypes Are Fast — But Designers Must Still Validate Real User Scenarios

This article explores how designers can intervene effectively when AI-generated prototypes already exist, using a case study of a mini-program violation reporting feature where designers replaced a multi-turn AI dialogue with an AI-assisted form to reduce user effort, demonstrating a framework for tracing original requirements, comparing solutions, and validating design decisions against real user costs.

AI prototypingAI-assisted classificationUX design
0 likes · 15 min read
AI Prototypes Are Fast — But Designers Must Still Validate Real User Scenarios
We-Design
We-Design
Sep 21, 2026 · User Experience Design

Rethinking Data Visualization: A UX Framework for Dashboards That Drive Decisions

This article argues that effective dashboards require a UX-driven approach focusing on context, audience, and insight rather than chart aesthetics alone, illustrating with Anscombe's quartet, a pandemic bubble chart, and a B2B SaaS case study how aligning visualization with decision-making transforms passive reporting into actionable tools.

Anscombe's quartetB2B SaaSEdward Tufte
0 likes · 18 min read
Rethinking Data Visualization: A UX Framework for Dashboards That Drive Decisions
We-Design
We-Design
Sep 14, 2026 · User Experience Design

Designing Amount-Sensitive Interfaces: Matching User Mindsets to Prevent Costly Errors

This article analyzes a flight refund case where users lost money due to unclear UI, then derives three reusable principles for amount-sensitive interfaces: match user loss/gain mindsets, require effective confirmation before loss-making actions, and use neutral, specific language with clear action buttons.

UX designamount-sensitive interfacescase study
0 likes · 9 min read
Designing Amount-Sensitive Interfaces: Matching User Mindsets to Prevent Costly Errors
We-Design
We-Design
Aug 19, 2026 · User Experience Design

From Slanted Arrow to AI Pointer: How Cursor Interaction Is Evolving

The article traces the cursor’s half‑century history—from Engelbart’s 1968 demo and Xerox PARC’s 16×16 bitmap to modern AI‑enhanced pointers—showing how it transformed into a visual language, adapted to touch devices, and now serves as a collaborative interface between users and intelligent agents.

AI interactionCursorGoogle DeepMind AI Pointer
0 likes · 12 min read
From Slanted Arrow to AI Pointer: How Cursor Interaction Is Evolving
We-Design
We-Design
Aug 7, 2026 · User Experience Design

Why Future UX Will Slow Down on Purpose: The Trust‑Latency Gap

As AI pushes decision‑making to millisecond speeds, products that are too fast can erode user trust, so designers must deliberately introduce strategic friction—slowing interactions where impact is high or reversibility low—to align system latency with human confidence.

AIUX designlatency
0 likes · 15 min read
Why Future UX Will Slow Down on Purpose: The Trust‑Latency Gap
We-Design
We-Design
Jul 31, 2026 · User Experience Design

How Design Is Steering Us Toward Shallow Thinking

The article argues that a series of design decisions—from early internet’s spatial metaphors to smartphone‑driven endless feeds, blank‑canvas platforms, and Twitter’s character limits—have transformed digital products into environments that encourage shallow, fragmented cognition, and it calls on designers to rethink these choices to foster deeper thought.

Designattention economydigital media
0 likes · 12 min read
How Design Is Steering Us Toward Shallow Thinking
We-Design
We-Design
Jul 15, 2026 · Artificial Intelligence

Why Do AI‑Generated People All Look the Same?

AI image generators produce a statistically averaged “average face” that looks attractive but lacks individuality, a phenomenon traced back to Galton’s 19th‑century composite portraits; the article explains the technical cause, psychological research, practical pros and cons, and how to steer models toward more distinctive, less uncanny results.

AI-generated facesGaltonaverage face
0 likes · 10 min read
Why Do AI‑Generated People All Look the Same?
We-Design
We-Design
Jul 6, 2026 · User Experience Design

How Designers Should Work When AI Joins Requirement Analysis

The article examines how AI can quickly decompose requirements but stresses that designers must distinguish facts from assumptions, organize judgment criteria, and make AI's analysis traceable and continuously verifiable to avoid misleading conclusions.

AIHuman Interface Guidelinesdesign process
0 likes · 16 min read
How Designers Should Work When AI Joins Requirement Analysis
We-Design
We-Design
Jun 25, 2026 · User Experience Design

How to Balance AI Presence Using User Intent

The article examines how to regulate AI's visibility in products by applying a tiered interaction model, defining clear boundaries, and dynamically adjusting response intensity based on user intent and confidence, illustrated with real‑world examples such as Microsoft’s Clippy and data‑dashboard scenarios.

AI interactionJTBDUser Intent
0 likes · 8 min read
How to Balance AI Presence Using User Intent
We-Design
We-Design
Dec 11, 2025 · Fundamentals

Why Your A/B Test Results Might Mislead You—and How to Interpret Them Correctly

This article explains the core concepts of A/B testing, including significance, p‑values, minimum sample size, experiment duration, common interpretation pitfalls, and practical e‑commerce conversion tips, helping designers and product teams make data‑driven decisions without falling into statistical traps.

A/B testingData Interpretatione-commerce conversion
0 likes · 18 min read
Why Your A/B Test Results Might Mislead You—and How to Interpret Them Correctly