In a 2026 Lenny's Podcast interview, Jenny Wen, Claude’s design lead at Anthropic, explains how AI has upended traditional design workflows, reshapes the role of designers, and reveals the tools, hiring priorities, and future UI‑chat hybrids that are shaping modern product creation.
The article outlines a systematic, end‑to‑end UX testing workflow—defining goals, designing test plans, recruiting representative users, preparing materials, calibrating and managing test sessions, collecting quantitative and qualitative data, analyzing results with metrics like SUS and efficiency index, extracting actionable insights, and converting findings into concrete product improvements—highlighting how AI‑driven tools can boost test efficiency and business value.
This case study details how the Ganji team re‑engineered the Enterprise Job Search section of its mobile app, using data‑driven analysis, strategic and structural redesign, and new content taxonomy to boost high‑intent conversions, differentiate the experience, and deliver measurable performance improvements.
The article explores how AI's rise highlights human error, argues that fault‑tolerant design is essential for user‑centric products, outlines practical guidelines such as anticipatory guidance and constructive error recovery, and validates the approach with a VR‑tool experiment.
This case study explains how 58.com’s recruitment platform tackled widespread fake job listings by redesigning core user flows, applying a three‑step perception‑driven design process, and implementing a structured project‑driving framework that lifted perceived authenticity by over 20 percent.
This article explains why visual experience matters for product perception, introduces the desirability testing method based on structured word lists, and provides practical guidelines for selecting words, conducting the test, and analyzing results to gauge users' emotional reactions.
This article details the end‑to‑end design of Ganji’s Job‑Protection Plan, explaining how a systematic protection framework, clear design principles, visual language, and data‑driven methods were created and applied across key product scenes to boost user trust and safety perception.
This article explores the distinct responsibilities of interaction design, its lasting impact on user satisfaction and product growth, and why it cannot be replaced by product or UI work, offering practical insights, case studies, and methodological guidance for designers.
This article outlines how the Taobao design team systematically collects, analyzes, and acts on user feedback—building a feedback platform, clustering design‑related sentiment, managing issues, running micro‑surveys, and quantifying impact through processing rates, reduction rates, and satisfaction uplift—turning qualitative voices into concrete UX metrics.
This guide explains why designers must oversee product experience, outlines a systematic four‑step framework (define, find, solve, push), details planning elements, project phases, problem‑gathering methods, classification of issues, value assessment, alignment practices, and how to establish a lasting experience‑optimization mechanism.
This article explores how three lightweight research tools—Hawkeye, Weheatmap, and iFeedback—are applied to a mini‑program customer‑service console to uncover what agents see, do, and receive, guiding redesign decisions through eye‑tracking, heatmaps, and automated feedback clustering.
This article explores the concept of convenience in user experience, its historical roots, academic definitions, its impact on purchasing behavior, and presents four practical strategies for designers to create genuinely convenient products while acknowledging situations where convenience may be irrelevant.
This article details the design and implementation of the Experience Cockpit, a one‑stop platform for monitoring user experience data, covering its purpose, metric hierarchy, non‑intrusive data collection, AI‑driven processing, visualization dashboards, alerting mechanisms, and how it drives product decisions.
This article explains what content‑strategy research is and presents eight practical, user‑centered methods—such as the Five‑Second Test, Talk Bubbles, Highlighter Test, Card Sorting, Fill‑in‑the‑Blank, Semantic Differential Scale, Content Scorecard, and Naming Exercise—to help designers and product teams craft clearer, more compelling UI copy.
This article explains the fundamentals of behavior design—motivation, ability, and trigger—and demonstrates how applying this model transformed 58 Local Services from a simple tool into a comprehensive service platform, detailing research, design strategies, iterative testing, and resulting threefold growth in order volume.
Experience walkthroughs offer a quicker, lower‑cost alternative to traditional usability testing by using internal users and streamlined processes, enabling teams to rapidly identify and fix product flow issues across the entire lifecycle while still delivering deep, actionable insights.
This article explains a low‑cost, step‑by‑step method for harvesting customer service records, interpreting and prioritizing the feedback, converting it into concrete requirements, and establishing design principles that improve product experience without replacing traditional research methods.
This case study details how 58.com analyzed user demographics and market news products, then applied a three‑step design strategy—seamless reading, semi‑automatic interaction, and KOL‑driven value—to transform its Hot Discussion module into a user‑centric, high‑engagement content experience.
This article details 58租房’s end‑to‑end redesign of its roommate‑finding feature, covering user pain‑point analysis, a richer roommate information model, split‑step data collection, UI enhancements for search efficiency, and the establishment of business and usability metrics to validate the improvements.
This article presents a comprehensive methodology for translating brand concepts into visual design, covering brand definition, mental mapping, visual style construction, user‑centred validation, iterative testing results, and future research directions, all illustrated with process diagrams and case‑study examples.
This case study explains how a data‑driven redesign of the landlord center on the 58 rental platform aligned user and business goals, introduced low‑cost experiments, and leveraged scoring and aggregation features to dramatically increase feature exposure, conversion rates, and overall user retention.
The 2018 China User Experience Industry Survey, conducted by IXDC and Tencent CDC, analyzes practitioner demographics, salary growth, job mobility, satisfaction, entrepreneurship, core competitiveness, capability models, learning plans, emerging niche roles, urgent vacancies, and common tools, offering a comprehensive view of UX developments and challenges.
This guide presents a three‑dimensional map that positions twenty common user‑experience research methods across attitude‑vs‑behavior, qualitative‑vs‑quantitative, and product‑usage scenarios, helping designers select the most suitable technique for each product development stage.
This article explains how applying story thinking to the entire design process—from user research and persona creation to prototyping and validation—enhances empathy, clarifies problems, and drives more compelling, user‑centered solutions.
The article explains what a user satisfaction model is, why it matters for product evaluation, and outlines a step‑by‑step methodology—including defining dimensions, collecting questionnaire data, applying statistical techniques, creating a two‑dimensional evaluation matrix, and deriving actionable improvement plans—to quantitatively assess and enhance user experience.
When a product spans phones, tablets, PCs and web, traditional single‑platform usability testing falls short, so this guide explains the conditions, benefits, and step‑by‑step strategies for planning, executing, and reporting usability tests across multiple platforms simultaneously.
Think‑aloud is a cost‑effective, robust, and flexible usability testing technique that lets designers hear users' real‑time thoughts, uncover hidden pain points, and quickly validate design decisions across any product stage.
This guide explains how interaction designers can systematically collect, analyze, and apply data—clarifying purpose, understanding sources, using core analytical methods, communicating results, and avoiding common pitfalls—to make evidence‑driven design decisions.
