58.com User Experience Design Center
This guide explains why app pop‑ups are crucial for user experience, outlines common scenarios, details size, margin, and layout constraints, and shows how AI can personalize pop‑ups to reduce disruption while boosting engagement across B2B applications.
This article introduces the key AI design principles from Google’s People + AI Guidebook and Microsoft’s Human‑Centred AI guidelines, covering explainability, privacy, user‑focused value, scenario‑based services, easy activation, and clear communication to help create intelligent, humane user experiences.
This case study details 58 City's strategic redesign of its Feed, Message Center, and Personal Center, outlining the rationale behind selecting these three high‑traffic scenes, the design objectives of efficiency, brand warmth, and consistency, and the concrete UI, visual, and distribution innovations implemented to deliver a more personalized and cohesive user experience.
This tutorial shows how designers can streamline the creation of 3D frosted‑glass B‑end icons by leveraging Stable Diffusion and ControlNet, covering model setup, line‑art preparation, prompt engineering, generation parameters, and post‑processing to achieve high‑quality results efficiently.
This article examines how targeted user research uncovered three common copywriting traits—clear demand, price sensitivity, and limited patience—and shows how redesigning merchant self‑service copy based on these insights dramatically improved conversion rates.
This article outlines practical methods for evaluating generative AI assistants, covering cost‑benefit metrics, existing evaluation models, three‑dimensional experience criteria, common assessment techniques, and two detailed business case studies that illustrate design decisions and implementation strategies.
This case study explains how 58 Borrow Money identified low user retention among blue‑collar borrowers, uncovered their needs for emotional recognition and tangible rewards, and responded by designing a virtual coin economy and a tiered growth system, leveraging MidJourney and Stable Diffusion to create compelling visuals that accelerated development and drove revenue growth.
This article explores how AI-generated content (AIGC) tools like ChatGPT can streamline user research workflows—from drafting study plans and designing questionnaires to basic data analysis and report generation—while highlighting their limitations and best‑practice prompting techniques.
This guide walks you through creating a realistic 3D AI digital human using Unreal Engine's free Metahuman system and other zero‑cost tools, covering model selection, facial and body adjustments, clothing, export, and tips for both realistic and stylized characters.
This article examines the essential UX design components of generative AI assistants—from core functions, command guidance, and smart agents to input methods, conversation bubbles, generation feedback, and voice call interactions—offering practical principles and real‑world case studies to help designers create intuitive, trustworthy AI experiences.
