This article details a research‑driven approach to building an emotional gift system for a live‑stream dating platform, covering user emotion indicators, competitor analysis, design language, and a semantic intention library that together enhanced user experience and significantly increased revenue.
This article explains why designers need to understand data, outlines key quantitative and qualitative metrics, and demonstrates how data-driven decisions improved an emoji‑search feature, while emphasizing that intuition remains essential alongside analytics.
This case study details how the "CheShangTong" B2B car‑dealer product was transformed from a tool‑centric app into a service platform through business analysis, user research, problem discovery, and a five‑dimensional service upgrade, with results measured by CES surveys.
This case study explains how designers at 58.com leveraged user research, market segmentation, and innovative UX strategies—such as exclusive spaces, tiered thresholds, rights design, and intelligent matching—to create a zero‑intermediary rental service that boosted conversion rates by 8% and connection rates nearly eightfold.
This case study details how 58 Local redesigned its visual language and user experience for the sinking market, addressing continuity gaps, brand differentiation, and outdated frameworks, while leveraging user research to create localized icons, color schemes, and animated elements that boosted next‑day retention from 29% to 33% within a month.
This article outlines how a cross‑functional team at 58&Anjuke systematically improved the VR house‑viewing experience through consensus building, collaborative project management, design refinement, quantitative evaluation, and iterative releases, ultimately achieving a 74.5% implementation rate for VR display features.
This case study details how 58.com responded to the COVID‑19 pandemic by conducting market and user research, analyzing business opportunities, and creating a comprehensive design system—including brand, visual, illustration, and AI‑driven tools—to enhance service breadth, improve user experience, and drive growth across online and offline channels.
This case study details how a systematic service‑design approach—covering team alignment, stakeholder mapping, persona creation, expectation mapping, service‑blueprint analysis, and co‑creation workshops—identified key pain points and drove improvements in service quality, conversion, order value, and overall revenue for a home‑cleaning service.
This case study details how a structured research plan, user decision‑model 2.0, and data‑driven design iterations transformed the homepage and detail page of a used‑car service, boosting traffic efficiency, connection rates, and overall business revenue.
User research studies user behavior to align needs with business goals, helping define target audiences, refine product concepts, and guide design through qualitative and quantitative methods, ensuring solutions match real user habits, motivations, and expectations.
This case study details how a major recruitment platform redesigned its job‑detail page in response to pandemic‑driven market shifts, focusing on younger users, improving information clarity, visual style, modular hierarchy, and interactive elements to boost engagement and hiring efficiency.
This article explores how designers can shift from ad‑hoc UI tweaks to a systematic experience‑management process that aligns teams, quantifies impact, and continuously improves product usability through structured observation, insight, consensus, and design cycles.
This article details how MeiYou refreshed its emoji set by analyzing user preferences, addressing outdated visual styles, exploring modern design trends, and establishing systematic design specifications to create fun, efficient, and resonant expressions for its growing community of young women.
This case study examines how deep user research and a targeted attention‑model redesign dramatically increased traffic conversion for 58 Tongzhen’s rural‑town platform, revealing the habits, preferences, and social dynamics of lower‑tier market users and outlining practical optimization steps.
The article explores how a hypothetical mind‑reading ability could revolutionize user research by revealing hidden needs through scenario and psychological analysis, while offering practical interview techniques to uncover implicit motivations without any supernatural powers.
This article explains how to identify and mitigate three main sources of noise—user motivation, willingness to speak, and authenticity—by applying empathy techniques, sample weighting, and careful questionnaire design to improve the reliability of product research insights.
The article shows how product‑thinking—identifying users, their pain points, and translating them into concrete solutions through an Ask‑Think‑Experience loop—can deeply uncover real needs, illustrated by a hot‑pot analogy and a customer‑service chatbot case that evolved from simple FAQs to a 70% automated response system.
This article explains why user research is essential, outlines qualitative and quantitative methods, and provides a detailed, practical workflow—from defining interview goals and contacting participants to preparing questions, conducting face‑to‑face interviews, debriefing, and producing timely interview reports.
This guide walks you through a concise, four‑step product evaluation method—finding expert users, crafting story scripts, role‑playing the experience, and prioritizing iterations—to quickly uncover real‑world usage insights and drive focused product improvements.
This case study presents the LaiLaiTui project for JD Daojia, detailing its background, extensive user research with 685 questionnaires, usability testing, interview findings, visual style exploration, product structure, and future planning to improve promotion efficiency and user experience.
This article explains common cognitive biases that affect user research—such as friendliness, social desirability, bandwagon, Hawthorne, anchoring, and peak‑end effects—and provides practical strategies like combining backend data, reducing participant concerns, minimizing external influences, and probing deeper to obtain more reliable, objective insights.
The article explains how creating detailed user personas—through data collection, analysis, modeling, and validation—helps product teams understand target users, avoid common pitfalls, and design products that meet real user needs, illustrated with examples from mobile gaming.
This article explains what a user experience map is, why it matters, and provides a detailed qualitative‑plus‑quantitative process—including goals, methods, drawing steps, post‑map activities, and common pitfalls—to help product teams create insightful, actionable UX maps.
This article traces the historical emergence of the user research role in internet companies, outlines four development stages from early software to user‑centered design, and explains how its methods and theory stem from traditional market research, highlighting the evolving responsibilities and significance of user research today.
The case study explains the background, design thinking, user‑need analysis, visual strategy, and detailed page layout of 58.com’s Local Tribe feature, showing how systematic design choices improve community interaction, content relevance, and overall user retention.
This article presents a comprehensive, lean‑focused framework for user research—covering positioning, team roles, pre‑research planning, interview and questionnaire tactics, competitive analysis, and post‑research reporting—to help product teams generate actionable insights and drive value.
This article explains the concept of information architecture, outlines the preparatory work such as user research and competitor analysis, describes methods like card sorting, and provides practical guidance on creating, balancing, validating, and evaluating IA for better product experiences.
The article introduces the concept of a full‑value‑chain researcher, explains why traditional design roles are becoming obsolete, outlines the three‑level value chain (industry, company, product, user), and offers practical steps and skills needed to evolve into this role for lasting career growth.
This article explains what scenario modeling is, outlines its five‑W‑one‑H elements and step‑by‑step workflow, and demonstrates its practical value through a mobile input‑method game example that improves product usefulness, usability, and user satisfaction.
This article shares three real-world NetEase user‑research case studies—usability testing for new‑user onboarding, questionnaire‑driven redesign of a trading interface, and interviews plus surveys of high‑net‑worth customers—showing how focusing on core business problems leads to high adoption rates and measurable product improvements.
This article presents a comprehensive case study on redesigning an e‑commerce backend workbench, detailing how designers redefined commercial value, conducted agile user research, set product goals for buyer and seller interfaces, and applied systematic interaction, visual, and motion design to create a productized solution.
This article explores how visual designers at NetEase Yidun applied Google’s five‑day Design Sprint to revamp the “Image Online Detection” feature, detailing each sprint phase—from understanding user needs to prototyping and testing—and demonstrates how systematic, cross‑functional collaboration elevates designers from decorators to strategic drivers.
This article introduces core business model concepts, compares four major analysis frameworks—including the three‑dimensional, four‑component, transaction‑combination, and nine‑element models—then applies the Business Model Canvas and AARRR funnel to dissect a precious‑metal trading platform, offering practical steps for product designers and researchers.
This article introduces the GUCDR interaction‑design model and canvas, explaining how a structured, logical derivation process—from purpose and user to conditions and design—helps designers create comprehensive, rational design solutions even when resources are limited.
These twelve interview techniques guide designers on reducing participant tension, framing sessions as casual chats, asking progressive questions, avoiding leading language, preventing overly open queries, keeping users speaking for themselves, observing micro‑expressions, steering clear of design suggestions, avoiding answer cues, encouraging storytelling, and effectively analyzing collected insights.
This article shares practical guidance for interaction designers transitioning to B2B products, covering user immersion, business understanding, clear product philosophy, addressing weak points, flexible solutions, and unified component libraries to create effective enterprise experiences.
The article outlines 17 essential questionnaire and interview design principles—covering question wording, option construction, and interview conduct—to help designers conduct reliable user research and obtain objective, actionable insights.
This article introduces the Double Diamond design model, explains its four phases—discover, define, develop, and deliver—and demonstrates how applying the framework to a real product case can help teams identify the correct problems and craft effective solutions, boosting user growth and retention.
The article explains how interaction designers can improve their design solutions by combining qualitative methods such as interviews and usability testing with quantitative techniques like surveys and data analysis, illustrating the approach with real‑world product case studies and practical guidelines.
This article details how a five‑day Design Sprint, adapted for a B2B security product, helped the NetEase Yidun team quickly identify user problems, prototype three interface concepts, validate the chosen solution with real users, and significantly improve the image‑filtering workflow.
Agile teams can maintain rapid iteration cycles by applying the ‘555’ rule—five focused tasks, five representative participants, and five hours of testing—to deliver concise, high‑impact usability feedback without slowing development and ensure design decisions are data‑driven.
This article explains how to conduct fast, effective card‑sorting studies in half a day, covering card creation, participant recruitment, session execution, and result analysis to quickly uncover users' mental models and inform information architecture decisions.
This article presents ten carefully crafted questions that help product teams uncover the true motivations behind a client’s request to reference or emulate another product, guiding deeper understanding of user needs, design relevance, and strategic fit.
This article explores how Ctrip integrates data analysis with product design, presenting two detailed case studies— the evolution of the homestay channel and the optimization of the Guesthouse app order detail page— to illustrate the role of data, user research, and A/B testing in driving user‑centered product improvements.
The article explains why directly asking users how they feel about a product often yields biased or inaccurate answers, outlines the importance of focusing on observable user actions, and suggests flexible, evidence‑based interview techniques that combine qualitative insight with agile validation.
Design thinking is a human‑centered, iterative process—empathy, define, ideate, prototype, test—used by Adobe’s product team to create innovative, feasible, and valuable experiences like Adobe XD, emphasizing rapid learning, cross‑functional collaboration, and continuous user feedback.
This article explains what usability testing is, outlines its purpose, describes the typical workflow—including preparation, task design, pilot testing, user recruitment, execution, data analysis, and reporting—and highlights the benefits of applying rapid usability testing in product development.
This article presents 17 practical principles—including seven guidelines for question wording, seven for answer options, and three interview tips—to help designers create unbiased, clear, and reliable questionnaires and user interviews that yield accurate insights.
This article explains what product evaluation is, why it matters, and outlines a step‑by‑step process—including defining goals, setting standards, selecting methods, executing tests, analyzing results, and presenting findings—to ensure both functional and experiential quality of products.
The article recounts former 21CTO product director Zeng Xing’s 11‑year journey at Tencent Mobile Manager, detailing how relentless user research, data‑driven insights, micro‑innovation, and crowd‑sourced features transformed the app from a modest 1.0 release into a billion‑user security platform with daily active users exceeding 100 million.
This article demystifies the many design titles—UX, UI, visual, interaction, product, and user‑research designers—explaining their core responsibilities, typical deliverables, essential tools, and how they differ across industries, helping readers navigate the confusing landscape of modern design roles.
The article explains why users' spoken opinions often contradict their actual behavior, outlines the inherent flaws of user interviews such as unreliable memory and impractical speculation, and offers practical guidance on combining observation, testing, and triangulation to obtain trustworthy usability data.
This article recounts a recent cross‑border shopping user research project, detailing preparation, requirement gathering, timeline planning, execution, data analysis, report writing, and final sharing, while highlighting practical insights and best practices for effective research and project management.
This article explains how to combine backend analytics and user research techniques—such as questionnaires and deep‑interview simulations—to identify and refine target user groups at every stage of a product’s lifecycle, providing practical metrics and actionable insights.
This article explains how designers can leverage user data throughout the design lifecycle—identifying problems before design, guiding decision‑making during development, and validating outcomes after launch—while also outlining practical daily monitoring techniques.
This article explores how product managers split into "soft" and "hard" schools of user demand analysis, outlines the three progressive skill thresholds for each approach, and argues that mastering both sides is essential for truly understanding and meeting user needs.
This article explains why directly asking users what they want leads to misleading insights and introduces three effective interview questions that uncover real problems, current solutions, and improvement opportunities, helping product teams design truly valuable features.
This guide explains how interaction designers can develop data‑analysis skills—from collecting and understanding data sources to applying analytical methods and communicating results—to make evidence‑based design decisions and improve product outcomes.
This article examines frequent mistakes in user research—over‑reliance on quick persona creation, focusing on quantitative behavior instead of underlying psychology, and confusing individual traits with shared patterns—offering practical questions and methods to keep investigations truly user‑centered.
This article introduces the practical “Z Method” for user research, combining qualitative and quantitative techniques—interviews, surveys, usability testing, and data analysis—to guide product planning, prioritization, implementation, and post‑launch optimization through a structured, iterative approach.
This article explores how traditional web UX principles apply to mobile, emphasizing the need to understand user contexts, device capabilities, performance, content structure, and clear interaction flows to create effective mobile web experiences.
