The article explains how a two‑dimensional user story map can help product managers capture, organize, and communicate user requirements more efficiently by visualizing workflows and scenarios, reducing missed details, and fostering clearer collaboration during brainstorming and meetings.
The article explains how Google’s decision to retire the goo.gl URL shortener impacts users, outlines the timeline of its phase‑out, and evaluates alternative services such as Firebase Dynamic Links, Bitly, TinyURL and dub.co, highlighting the challenges of relying on a single provider.
The article explains how JetBrains' success stems from deep engineering experience in product management, powerful refactoring and static analysis features, thoughtful documentation and onboarding, and a culture that values large‑scale software engineering, contrasting it with challenges faced by domestic developers.
This article shares a data‑centric perspective on user growth, covering entropy reduction, information management, the data‑driven flywheel, A/B testing practices, retention strategies, and practical case studies that illustrate how systematic data analysis fuels sustainable product expansion.
This article outlines the three essential steps for scaling a tag system from initial deployment to full maturity, highlights typical challenges such as incomplete functionality, business system integration, and permission management, and provides practical solutions and best‑practice recommendations for each stage.
The article traces the rise and fall of China’s mid‑platform craze, illustrating its promise through Supercell’s profit‑driven reuse model while warning that extensive integration costs, organizational misalignment, and latency can outweigh zero‑cost benefits, and concluding that such platforms succeed only in stable domains with deep domain expertise.
This article provides a detailed overview of the end‑to‑end IT project management lifecycle, including product and requirement management, development and testing steps, version release procedures, and post‑release operations, offering practical guidance for teams to design and control their workflows.
This article shares a data‑centric perspective on user growth, covering the evolution of information management, distribution and production, the concept of entropy reduction in products, the data‑driven flywheel model, practical AB‑testing case studies, and a Q&A on analytics tools and team collaboration.
This article explores the definition, core characteristics, design principles, and emerging trends of tool‑type products—especially productivity software—highlighting how clear purpose, stable frameworks, efficient interaction phases, AI integration, PLG strategies, and cloud collaboration shape their success.
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 case study details Vivo Game Center's strategic redesign of its homepage, addressing content exposure, navigation efficiency, and visual immersion through a restructured layout, dynamic video integration, and a refined waterfall flow that together boost game activation rates and user engagement across devices.
The article examines why software requirements frequently change, introduces a four‑layer software value model—from business value to UI aesthetics—and explains how this model guides product managers and engineers in handling requirement volatility, balancing flexibility, and maintaining architectural integrity.
This article explains the stages of SaaS product development, introduces multiple methods for measuring product‑market fit—including retention, revenue, market perception, and Sean Ellis's survey—provides a questionnaire template, outlines calculation logic, and offers practical tips for applying the framework to drive growth.
This article provides a comprehensive guide on building user portrait tags—from basic attribute tags to business and strategy tags—detailing data collection methods, feature engineering techniques such as cleaning, time decay, and smoothing, and evaluation metrics for cohesion and stability, aimed at data product managers and analysts.
The article argues that seasoned developers should master the skill of cutting unnecessary requirements, explaining its purpose, principles, and practical techniques—including aligning goals, using data, iterative splitting, and finding alternatives—to improve project efficiency and satisfy managerial expectations.
This article examines technical debt at four time scales—annual, monthly, weekly, and daily—explaining their characteristics, why teams often postpone remediation, and proposes a 25% rule that allocates dedicated time for each type to foster a culture of continuous improvement.
The article analyses the low efficiency problems faced by Chinese SaaS firms across product, development, customer acquisition and after‑sales, identifies root causes such as homogenous offerings, poor demand management, weak R&D processes, and proposes strategic, cultural, architectural, procedural and metric‑driven solutions to boost overall performance.
The article explains product thinking as a comprehensive mindset that combines empathy, craftsmanship, user value, and business value, offering practical guidance on how product managers can deeply understand users, continuously refine their work, and align product outcomes with sustainable commercial success.
The article argues that programmers should cultivate product thinking by understanding the background, value, and user impact of features, highlighting how this mindset distinguishes them from pure engineering, improves collaboration with product managers, and helps prioritize genuine user needs over superficial or duplicated functionalities.
This article outlines Bilibili's five‑year journey building a comprehensive big‑data development and governance platform, detailing its user segmentation, product positioning, data map and governance product design, abstract configuration approach, operational mechanisms, value assessment, and measurable impact on data efficiency and business outcomes.
This guide explains the definition, objectives, common goals, step‑by‑step process, and popular methodologies—including PEST, SWOT, Porter’s Five Forces, BCG matrix, qualitative and quantitative techniques, questionnaire design, sampling, and statistical analysis—used to conduct effective market research for product development.
A recent Progress Software report reveals that over half of organizations plan to increase investment in human‑centered software development, highlighting five core pillars, key challenges, and practical recommendations for creating inclusive, user‑focused applications.
The article explains how product managers convert boss and user demands into concrete product features by analyzing requirements, creating prototypes, writing clear PRD documents, organizing modules and functions, and visualizing feature structures, while also highlighting the importance of systematic processes for both existing and new products.
The article examines how generative AI and low‑code tools are reshaping software development, potentially lowering salaries, and outlines five practical strategies—learning high‑pay languages, leveraging AI, focusing on security, mastering product management, and building leadership—to maintain or boost earnings.
This presentation shares the speaker’s experience and practical methods for creating an effective data platform, covering the transition from technical roles to product management, deep understanding of data workers' needs, Tencent Oura asset‑factory practices, a product‑management methodology, and a Q&A session that addresses governance, performance, and engineering challenges.
This article explains how enterprises can construct, design, and manage comprehensive tag systems—from foundational concepts and core design principles to construction workflows, evaluation methods, industry case studies, and practical Q&A—enabling precise customer segmentation and data‑driven marketing.
This guide explains why a data metric system is essential for business health, outlines a step‑by‑step process to design one, and demonstrates its construction for e‑commerce, community platforms, and financial apps using concrete examples and visual diagrams.
The article details the 2023 redesign of Tmall International’s main‑image sticker system, covering its original workflow, the need for automation and fine‑grained templates, the architectural upgrade for isolation and scalability, high‑concurrency handling, migration strategy, and price‑consistency safeguards to boost conversion and user experience.
This article analyzes Bungie's transition from a traditional boxed‑product approach to a live‑service model in Destiny 2, outlining the challenges, metrics, cultural shifts, and practical lessons such as prioritizing speed over position, data‑informed design, and avoiding over‑delivery.
This presentation by SaaS growth expert Tian Yuan outlines a systematic B2B product growth framework—including the concepts of a Growth House and Brand House—detailing underlying growth logic, models, customer journey mapping, value exchange, and real-world case studies to help product managers identify new growth opportunities in mature markets.
This presentation details YY Live’s data product team’s end‑to‑end business metric governance practice, covering problem background, analysis, governance objectives, multi‑team collaboration, implementation steps, achieved efficiencies, and future directions leveraging large language models.
This article examines how 58 platform built a trust‑based credit system by analyzing current user friction, introducing a “trust domain” grounded in authenticity, logic and empathy, selecting brand‑aligned colors, and emphasizing new‑user onboarding to enhance safety and loyalty for both consumers and merchants.
This case study details how the 58 local service platform identified usability problems in its listing pages, implemented a data‑driven redesign focusing on findability, visual appeal, and user‑merchant connection, and achieved significant revenue growth through iterative improvements and a new shop‑style layout.
Senior Tencent product manager He Zhichao shares his experience and methodology for creating a high‑quality data platform, covering the transition from technical roles to product, understanding data users’ needs, the Euler asset‑factory implementation, product‑manager best practices, and solutions to common data‑engineering challenges.
This article explains Douyin’s growth‑analysis methodology, how to construct a comprehensive growth‑metric system with North‑Star indicators and hierarchical metric layers, the end‑to‑end analysis loop, new scenario‑driven metric applications, and a detailed case study on improving video‑submission rates.
This article explores how linking R&D efficiency to business value by adopting high‑quality requirement practices, defining clear goals, measuring outcomes, and managing stakeholders can reduce waste, improve delivery, and align development work with strategic objectives.
Taobao’s grocery next‑day pickup service introduced a ‘cumulative order’ marketing mechanism that rewards users for daily purchases, evolving through four versions—from a hidden‑box model to a full‑link guided system—while detailing its business flow, technical architecture, and implementation processes.
This article details a growth‑focused design project targeting domestic service workers, explaining how refined app copy, a custom semantic manual, and the original EARE semantic‑effect ladder framework drove multi‑point data improvements and a 78% boost in button click‑through rates.
This article explains why designers should conduct demand evaluation, outlines its three key benefits—enhanced business understanding, improved efficiency and influence—and provides a step‑by‑step framework covering the identify, analyze, and confirm stages, complete with practical tools and visual examples.
Tieba transformed its 20‑year‑old membership system by splitting tiers, conducting user surveys, and redesigning visual identity, interaction, and payment flow, resulting in higher user engagement, perceived value, and notable revenue growth across the platform.
This article examines the unique challenges of conducting experiments in the freight bilateral market—covering transaction, pricing, marketing, and product scenarios—and presents a comprehensive technical solution framework that includes cluster traffic splitting, homogeneity assurance, efficient interpretation, and observational study methods.
This case study explains how Tencent partnered with the Sanxingdui Museum to create a comprehensive digital visitor service platform that uses 3D artifact visualisation, immersive map navigation and a content‑rich website to deepen cultural appreciation and streamline museum tours for thousands of daily users.
This case study explains how Baidu’s commercial B‑end platform redesigned its list module with a full‑screen immersive framework, multi‑tab interactions, combined filtering, and intelligent query, resulting in a 1.3× increase in visible information, up to 90% faster operations, and customer satisfaction rising from 53.9% to 82.6%.
Creating an IoT product roadmap is far more complex than for typical tech products because it must coordinate hardware, firmware, communication, cloud platforms, and applications, requiring clear alignment among diverse stakeholders such as sales, marketing, executives, and engineering to deliver cohesive solutions.
This article provides a comprehensive guide to user operations, covering the definition of user operation, common user analysis techniques, attribute and behavior analysis, segmentation methods using business logic and clustering algorithms, and the concept of the Aha‑moment or magic number for optimizing retention and value.
This article explores why download progress bars often freeze at 99%, tracing their historical origins, explaining technical constraints like resource contention and block verification, and revealing how product managers sometimes design deceptive progress indicators to shape user perception.
This article explains how to design and implement A/B experiments in complex two‑sided markets, covering core concepts of causality, detailed case studies, various allocation principles, risk‑benefit trade‑offs, and practical guidelines for selecting appropriate experimental methods across different business scenarios.
This article explains the role and mindset of a strategy product manager, outlines the decision‑making framework for content recommendation platforms, compares it with related positions, and answers practical questions about value, AI impact, commercial‑consumer trade‑offs, and content creation versus consumption.
This article traces Baidu Search’s 20‑year evolution, outlines its six generational shifts, explains the AI‑native reconstruction of the product, details the diverse product lines and rigorous evaluation framework, and maps the career growth path and skill expectations for search product managers.
In this reflective piece, Docker co‑founder Sam Alba examines the past decade, highlighting three strategic decisions that propelled containers and cloud native computing forward and three critical errors in community, culture, and over‑reliance on containers that offer lessons for tech leaders today.
The guide outlines Baidu Search’s evolution—from early web search to a super‑app with AI‑driven, multi‑modal results—details its four product streams and strategic focus, and maps a product manager’s career from junior to expert, highlighting essential business insight, design, analysis, project leadership, and soft‑skill qualities.
Effective feedback design—covering result, status, transition, action, tactile, and audio cues—helps users understand system responses, reduces uncertainty, and guides next steps, ultimately enhancing trust and satisfaction across mobile, web, and software products.
This article explains how SaaS companies can quantify and deliver customer value by defining, measuring, and optimizing key success metrics such as ROI, adoption rates, time‑to‑value, and lifecycle duration, while emphasizing continuous communication and expectation management throughout the customer journey.
This article examines how systematic data analysis and targeted design experiments—covering color, copy, benefit points, button style, and seasonal skins—significantly increased click‑through rates for app pop‑up resources, offering actionable insights for product managers seeking data‑driven UX improvements.
User growth encompasses acquiring, activating, retaining, and monetizing users, focusing on increasing Lifetime Value (LTV) while reducing acquisition costs, and is explained through models such as AARRR, RARRA, Growth Loops, and the 6R framework.
The guide explains how to create an analytical data product by first defining the business scenario and KPI, selecting and abstracting an analysis framework into reusable modules, visualizing core metrics across dimensions, and continuously iterating through cold‑start, promotion, and maintenance phases to keep the product aligned with evolving business needs.
The article examines the myth that programmers must stop coding after age 35, explains why most continue to code, and outlines five viable career trajectories—including becoming a technical expert, moving into management, architecture, solution engineering, or product management—to maintain competitiveness and professional growth.
This guide explains the key differences between C‑end and B‑end products, outlines how to define analysis goals, build an outline, identify and filter competitors, gather information from various sources, and synthesize findings into actionable insights for product managers.
This article explains why a product roadmap is essential for aligning product and business goals, describes four common roadmap types—strategic, market‑driven, project, and release—and outlines a step‑by‑step process for creating a roadmap using simple tools while linking it to OKRs.
This article compiles insights from technical leaders, developers, product managers, and operations staff on building effective CMDBs, highlighting common pitfalls, essential success factors, Huawei’s experience, and practical lessons for improving data modeling, automation, and cross‑team collaboration.
This article explains what a product roadmap is, outlines its various types—including strategic, market, project, and release roadmaps—describes how to create an effective roadmap by aligning with company goals, gathering information, prioritizing features, and using simple tools like Excel or PPT.
In an interview with LeKe CTO Chengshi, the company’s rapid growth is attributed to three data‑powered capabilities—fine‑grained user operation, agile A/B‑testing, and AI‑driven personalized recommendation—enabled by Volcano Engine’s data platform and the data‑flywheel concept.
This article introduces a wide range of practical methodologies—including 5W2H, STAR, Pareto, Long Tail, MVP, Six Thinking Hats, First‑Principles, SCQA, OKR, KPI, SMART, PEST, SWOT, data‑warehouse layering, AARRR, RARRA and RFM—to help readers improve decision‑making, goal management, data analysis, and user‑growth strategies in product and business contexts.
This article examines how 58租房 introduced the “Housekeeper Talk” video‑tour product, detailing the advantages of video viewings, the end‑to‑end workflow for creators, the UI enhancements for renters, and the measurable impact on user engagement and connection rates.
This case study details Baidu’s systematic redesign of its real‑time Q&A service, covering pre‑service question‑page enhancements, in‑service IM page expansion, and post‑service repurchase guidance, illustrating how iterative, data‑driven design lifted user experience and doubled revenue streams.
This article explains why a comprehensive metric system is crucial for product teams to align micro‑level actions with macro business goals, outlines the differences between metrics and dimensions, and provides a step‑by‑step guide to designing, breaking down, and implementing an effective metric framework.
In July 2023 Tubi announced the appointment of Anjali Sud as CEO, reinforced its position as the highest‑rated FAST service in the U.S., detailed its personalized content strategy, highlighted its data‑driven technology and ad‑tech approach, and celebrated its first Emmy nomination and industry recognitions.
This article explains why A/B testing is considered the gold standard for causal inference, shares ByteDance’s extensive internal experimentation practices and case studies, describes the Volcano Engine experiment platform architecture, and outlines the step‑by‑step process for launching reliable A/B experiments.
This article shares practical experience building a payment data analysis system from scratch, explaining why data analysis matters, outlining a five‑stage framework, detailing metric design, and presenting common analytical methods such as funnel, multi‑dimensional, trend, comparison, Pareto, and cross analysis to drive product decisions.
This guide explains how large‑tech companies design and quickly assemble activity homepages using a three‑layer architecture—creative, skeleton, and dialogue—detailing each layer’s components, visual assets, and interaction patterns to boost user engagement, conversion, and operational efficiency.
This article explains the concept of “endpoint applications” in Weimob WOS, describing how they package product functions, support multiple mini‑programs with distinct features, manage channel relationships, and provide a flexible, extensible architecture for merchants and downstream solutions.
This article reviews a product‑manager’s end‑to‑end workflow for forecasting demand value and validating hypotheses, illustrating how Wallace’s scientific loop translates to business, and detailing causal‑inference techniques such as matching, DID, regression discontinuity, and instrumental variables with a real‑world case study.
This document outlines the background, inspection methods, focus areas, schedule, responsibilities, and outcomes of a regular business inspection process designed to improve quality, user experience, and NPS by involving developers, QA, and product teams in systematic functional, page, and interaction reviews.
The article examines why many programmers worry about age, explains that most continue coding past 35, and outlines five main career routes—senior expert, technical management, architecture, solution engineering, and product management—offering guidance on choosing the path that matches one’s strengths.
This article recounts how Ivan Kutskir spent seven years creating Photopea, a fully client‑side, web‑based Photoshop clone built entirely with JavaScript, detailing his background, development challenges, technical architecture, user growth, monetization strategies, and lessons for aspiring developers.
This article explains why tag scoring is essential for data governance, outlines a five‑dimensional scoring model—including usage, attention, quality, continuous optimization, and security—and demonstrates how the scores can drive dashboards, alerts, and resource‑saving decisions.
This article explains the fundamental differences between B‑end (business) and C‑end (consumer) products, their target users, usage scenarios, and core demands, and offers practical tips for newcomers on how to conduct effective B‑end research and competitive analysis.
In the age of AI, the article argues that the ultimate first metric for startups and organizations is the amount of time people spend on truly valuable, regret‑free experiences, urging data‑driven leaders to focus on deeper, multi‑level metrics beyond simple conversion rates.
The article introduces a doctor‑like UX analysis framework for e‑commerce platforms, detailing a User Experience Map that breaks journeys into stages and moments, a two‑layer metric system (experience‑focused X‑metrics and operational O‑metrics), and practical guidance on A/B testing, causal inference, power analysis, and propensity‑score matching to iteratively improve browsing, logistics, and performance.
This article explores Baidu's incentive video ad framework, detailing layout consistency, component selection, reward timing, video playback strategies, landing‑page integration, exit‑retention tactics, and conversion‑step reduction to maximize user engagement and revenue.
This article presents a comprehensive technical overview of the Transaction Fulfillment Product Center, detailing its background, system architecture based on DDD and micro‑services, key features such as unified product management, template‑driven form generation, metadata handling, complex search capabilities, and a custom ID generator, while also providing code examples of extension points.
This article explains the concept of technical debt, its origins, various classifications, the economic analogy with financial debt, the risks of ignoring it, and practical approaches for identifying, prioritizing, and repaying it through regular refactoring and disciplined engineering practices.
The article argues that merely adopting agile methods does not guarantee faster software delivery; instead, organizations must adopt a value‑driven development mindset, defining and continuously measuring business value to guide product decisions, reduce waste, and accelerate delivery across teams.
The article outlines how ChatGPT 4.0 can significantly improve product managers' workflow across research, planning, design, project execution, and iteration by providing prompt engineering techniques, practical examples, and actionable recommendations while emphasizing security and information‑risk considerations.
This article explains what metrics are, outlines the four essential elements of a good metric, evaluates metrics across effectiveness, credibility, sensitivity, and operability, and provides a practical guide for building and applying a comprehensive data metric system, while also promoting a related ebook.
This article explores the concept of software quality, distinguishing internal and external quality, examining their relationship with development speed, technical debt, and economics, and discusses models, product stages, customer perspectives, and the influence of digital transformation on quality assurance.
The article explains what user stories are, outlines five frequent mistakes—misunderstanding them as requirements, treating them as contracts, making them too large, undervaluing small stories, and creating unnecessary dependencies—and offers practical tips for crafting concise, value‑focused stories in agile software development.
This article presents a comprehensive guide to A/B testing platforms, covering their business applicability, internal implementations at ByteDance, industry-specific case studies, platform architecture, experiment types, and strategies for building a sustainable experiment culture within organizations.
This article explains why analyzing an organization’s structure, collaboration patterns, and risks is crucial for data product success, outlines an ideal data‑centric organization model, shares real‑world examples and practical steps, and provides a Q&A on common challenges faced by product teams.
The article reports that Alibaba's Taobao and Tmall are undergoing a major organizational split after the departure of the industry leader Yang Guang (nickname “Chui Xue”), detailing the new departmental structure, historical context, strategic focus, GMV trends, and industry reactions.
This article provides a comprehensive introduction to user profiling, covering its definition, key elements, classification types, common dimensions, practical application scenarios, lifecycle considerations, development workflow, and validation methods for building effective data‑driven user models.
This article presents a comprehensive guide to A/B testing platforms, covering their business applicability, internal and external use cases across industries, detailed platform architecture, experiment types, statistical reporting, analysis tools, feature flag management, and recommendations for building a sustainable experiment culture within organizations.
This article explains how to design clear, purposeful message notifications for B2B SaaS cloud tools, covering goals, scenarios, notification flows, UI details, push rules, and best‑practice recommendations to reduce information overload and improve user experience.
Learn what the Price Sensitivity Measurement (PSM) model is, how to design questionnaires, select samples, clean data, process tables, draw charts, and determine optimal price points, with step‑by‑step guidance and visual examples for effective product pricing research.
This article explains why channel data products are needed, outlines the stages of growth business, describes how to design and implement a channel data product—including its architecture, database schema, and operational workflow—and concludes with a practical summary and Q&A.
This presentation explains how to construct a metric system, identify bottlenecks, design targeted growth strategies, and apply A/B testing through detailed examples from Volcengine's DataFinder and DataTester platforms, culminating in practical case studies from Douyin Group and other enterprises.
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.
58.com’s job‑seeker membership was overhauled through extensive user and competitor research, redesigning benefits, visual branding, and contextual integration, resulting in clearer value, higher conversion rates, and a significant increase in revenue and user satisfaction.
This article examines Baidu's mobile app gamified growth strategies, detailing the three core experience elements—play strategy, world view, and emotional experience—while applying flow theory and the Octal Behavior Model to create engaging, loyalty‑driving activities.
Drawing from years of development work, the author explains why programmers rarely venture into solo entrepreneurship, highlighting challenges in technology, project acquisition, company formation, hiring, product development, and personal stability, and offering practical insights for anyone considering the leap.
