The article explains product thinking as a mindset that starts from user value, illustrates it with real‑world observations and the iPhone home‑button story, and offers practical ways to develop the skill through critical product use, user conversations, interdisciplinary reading, and continuous practice.
The article walks through a six‑step framework—defining the product, setting value‑based metrics, acquiring and labeling data, choosing and evaluating models, building an MVP, and creating a growth loop—to guide AI product managers from concept to launch while emphasizing practical trade‑offs and real‑world examples.
Product managers fearing AI should stop chasing new models and instead focus on how to embed homogeneous AI into unique user scenarios, leveraging proprietary data, agent capabilities, and friction‑free interactions to create real competitive moats.
This article explains how product managers can demystify and apply the three core AI techniques—Retrieval‑Augmented Generation, fine‑tuning, and agents—using the Dify platform, showing step‑by‑step setups, practical benefits, cost considerations, and when to choose each approach.
The article outlines a product director’s three core duties—defining a product‑group strategy, allocating and supervising product work, and handling daily operations—then walks through creating a roadmap, assigning tasks, monitoring development, and continuously evaluating product value.
The article shows how product managers can avoid the disappointment of a feature that looks perfect but gets no users by building a complete data‑driven loop that combines user‑behavior and business metrics, walks through a real e‑commerce recommendation case, outlines data‑collection pitfalls, metric‑design methods, hypothesis‑driven analysis, testing procedures and concrete steps to turn insights into iterative product improvements.
The article reveals that many AI product managers can talk about AIGC and agents but stumble when asked to design a rigorous evaluation system, illustrating the problem with a chatbot case study and presenting a detailed 1+3 multi‑dimensional framework to guide product definition, development, and iteration.
The article examines how the wave of AI anxiety among executives reshapes product logic, detailing a three‑act saga of a precise‑echo AI requirement generator, a boss‑driven “fabrication” critique, and the evolution to a “soul‑insight” version, while offering concrete translation tactics and a taxonomy of boss behaviors.
The article breaks down three AI product manager roles—business‑oriented, platform‑centric, and technical—detailing their core responsibilities, essential skills, industry examples, recruitment profiles, transition strategies, and future demand trends, helping professionals choose the right path.
A recent inquiry about transitioning from a finance background to an AI product manager role is explored through the Sugarscape simulation, revealing how talent, luck, and strategic location interact, and offering concrete advice on choosing cities, companies, and knowledge‑dense environments to boost career success.
The article outlines the various product manager positions—PM, TPM, MPM, DPM, UXPM, GPM, PPM, and HPM—detailing their responsibilities, required skills, career progression, and the benefits of cross‑functional expertise for building successful products.
The article dissects why AI products often flop by applying a value‑cost formula, then offers ten concrete tactics—from redefining user interviews and running tech‑shock focus groups to data‑driven quant analysis, competitive deconstruction, pricing tests, and self‑questioning frameworks—so product managers can shift from feature‑driven thinking to value‑driven innovation.
The article reflects on how AI‑driven efficiency in customer‑service centers can initially boost performance and morale, but as growth stalls the same metrics become a justification for staff cuts, prompting product managers to rethink their role from replacer to enabler while preserving human dignity.
In an interview, Toutiao’s new CEO Chen Lin, who rose from product manager to C‑level, explains that empathy, logical thinking, and imagination are essential for product managers, and describes how data transparency, critique sessions, and talent‑focused organization building drive sustained product success at ByteDance.
The article analyzes how AI tools and market shifts are forcing product managers, UI designers, and interaction designers to evolve from narrow, visual‑only tasks toward full‑stack, data‑driven, and technically integrated roles, illustrated with real‑world case studies and hiring data.
In the AI era, product managers shift from routine execution to strategic decision‑making as AI tools automate data analysis, PRD drafting, and market research, while their core value expands through deeper business insight, cross‑domain coordination, and critical risk‑aware thinking.
The article outlines a systematic approach for candidates to evaluate a product manager interviewer's competence by spotting negative signals such as disrespect or brain‑teasers, recognizing positive cues like genuine questioning opportunities, and asking targeted questions that reveal the interviewer's depth and the company's culture.
The article walks through a real‑world test of an AI prototyping tool, showing how a team designed a B2B e‑commerce admin dashboard homepage in under three minutes, outlines key design considerations, step‑by‑step prompt creation, and practical tips for achieving high‑fidelity, editable prototypes quickly.
The article breaks down AI product management into three distinct tracks—business‑oriented, platform‑focused, and technical—detailing their core responsibilities, required skills, typical industry examples, recruitment profiles, transition pathways, and future demand trends, helping professionals choose the right career direction.
This guide walks through the end‑to‑end process of creating a successful AI product, from discovering real user problems and assessing market fit, through defining a Minimum Viable Intelligent Product, building data‑driven loops, choosing the right models, designing trustworthy UX, and scaling with a sustainable moat.
The article presents fifteen core thinking models for product managers, covering demand analysis, competitive analysis, goal setting, user experience, and product operations, and explains each model’s components, applicable scenarios, and practical examples such as the Y model, Kano, Porter’s Five Forces, and the AARRR framework.
Through a series of humorous dialogues, this article explains why developers need product managers to translate vague client demands into clear technical requirements, highlighting communication gaps, role separation, and the importance of a dedicated translator in software projects.
This case study details how Maor built Base44, an AI‑driven no‑code app creator, grew from a solo prototype to a $80 million acquisition by Wix, outlining its market, business model, financials, and practical lessons for aspiring entrepreneurs.
In a 1024 Programmer's Day AMA, Xiaohongshu’s tech leaders and Hugging Face co‑founder discussed AI coding as a core skill, open‑source as a catalyst for rapid advancement, and the challenges of achieving human‑like AGI, offering practical takeaways for developers and product teams.
This article explores Kuaishou e‑commerce's journey in constructing a comprehensive data metric system, detailing its business context, the necessity of metrics, challenges faced by data product managers and engineers, practical implementation steps, management practices, and a concluding Q&A.
This article explores the difficulty of establishing a shared language in software engineering, outlines three essential domains and mindsets for developers, delves into demand analysis, product value, user experience, and strategy, and contrasts ToC and ToB approaches while highlighting practical documentation outputs.
This article explains the fundamentals of installment payments, traces the evolution of consumer finance in China, outlines the main market operation models, describes the industry’s structural participants, and details the product ecosystem and roles of product managers within the sector.
This guide explains how to build a closed‑loop growth metric system and applies it to a video app, detailing metric design, data collection, analysis, hypothesis testing, validation, and deployment of optimization strategies to improve content submission rates.
At Meta Connect 2025, Meta's ambitious showcase of three new smart glasses and a neural wristband backfired with two high‑profile demo failures—one caused by a self‑inflicted DDoS from simultaneous device requests and the other by a race‑condition bug that put the HUD to sleep—turning a potential breakthrough into a public embarrassment.
This presentation explores AI-era recommendation strategies, defines strategy product roles and ability models, outlines the three generations of product managers, discusses AI-driven trends, workflow simplifications, 2024 observations, and offers practical guidance for career growth in product management.
Although AI breakthroughs capture headlines, the true obstacle for startups is not technology but building a sustainable business model that delivers continuous revenue, controls costs, and creates defensible advantages, as illustrated by examples like OpenAI and Midjourney.
This article outlines six actionable strategies—understanding product thinking, sharpening demand insight, practicing empathy, analyzing competitors, iterating cognition, and summarizing key habits—to help product managers transform user needs into valuable product experiences.
In this interview, senior AI product operations manager Lu Xinting shares how to identify high‑value AI scenarios, apply three practical metrics, build a closed‑loop AIGC operation framework, and design user incentives to achieve product‑market fit for large language models in logistics.
In a deep interview, AI pioneer Andrew Ng explains that AI progress will follow multiple parallel paths beyond scaling, highlights the talent bottleneck for building Agentic AI, and shows how AI‑driven coding tools are shifting startup bottlenecks from engineering to product management while reshaping team structures and founder priorities.
Andrew Ng’s YC AI Startup School talk reveals that the biggest AI opportunities lie in the application layer, emphasizes speed as a critical success metric, explores the rise of Agentic AI, debunks the myth that AI will replace programming, and offers practical strategies for rapid AI‑driven product development.
Drawing from a recent AI hardware lecture, this article outlines the market opportunities, product definition frameworks, development processes, and the evolving role of product managers, illustrating concepts with real-world examples like AI companion toys and self‑distillation models.
This guide explains how to create a scientific product roadmap by outlining the step‑by‑step process from idea generation, market research, and MVP definition to understanding product lifecycle stages, designing a minimal viable product, and achieving differentiation in a competitive market.
This article examines how empathetic user research and AI‑driven features transformed a resume‑building tool for older domestic‑service workers, detailing behavior analysis, process simplification, multimodal interaction, and trust‑building AI assistants that dramatically increased completion rates and platform value.
This article explains how a rule‑engine‑driven WMS can automatically detect, evaluate, and resolve inbound warehouse exceptions—such as short‑receipts, over‑receipts, mis‑receipts, untimely deliveries, and data conflicts—by providing millisecond responses, low‑code configurability, intelligent arbitration, and self‑healing capabilities, reducing reliance on manual firefighting.
This case study details how 58’s UX team researched and iterated an AI interview product for blue‑collar job seekers, uncovering user needs, testing visual and interaction elements, and translating insights into concrete design guidelines.
This guide walks product managers through the full lifecycle of requirement analysis, management, prioritization, delivery, and verification, emphasizing data‑driven decisions, multi‑dimensional evaluation, clear acceptance criteria, and continuous feedback loops to ensure products truly solve user problems and align with business goals.
This article demystifies installment payments by explaining the underlying asset‑backed securities, tracing the evolution of consumer finance through four development phases, outlining market operation models, detailing industry participants, and describing the product systems and manager roles that drive today's installment services.
This guide breaks down the classic product‑manager interview question “Tell me about your most difficult project,” explaining what interviewers assess, key pitfalls to avoid, and a detailed STAR‑R framework with a real‑world case study to help you craft a compelling, data‑driven answer.
In a candid conversation, YouTube co‑founder Steve Chen and Manus chief scientist Peak discuss PayPal’s rise, YouTube’s Google acquisition, product‑priority decisions, network‑effect engineering, AI agent strategies, and the relentless trial‑and‑error culture that fuels Silicon Valley success.
This guide breaks down what interviewers look for when asking about your learning and growth, outlines common pitfalls, provides a structured answer framework, and shares a high‑scoring example to help product managers showcase their self‑driven development and impact.
This article outlines a comprehensive product manager capability model, covering foundational qualities like user empathy, logical thinking, and long‑termism, professional skills such as demand management, product design, and project execution, and strategic thinking including business insight, industry vision, and ecosystem building, while offering practical frameworks and examples for each.
This article provides a comprehensive overview of Software‑as‑a‑Service, outlining its key advantages and disadvantages, detailing common pricing strategies such as free trials, per‑user, per‑feature, usage‑based and hybrid models, and describing typical SaaS front‑end, tenant, and admin modules.
This article breaks down a mature e‑commerce platform into six layered modules—user reach, business operation, transaction fulfillment, supply chain, infrastructure, and BI—detailing core functions, design considerations, and data‑driven processes to guide scalable system design.
This comprehensive guide walks product managers through meticulous pre‑interview research, data‑driven storytelling, strategic in‑interview communication, and effective post‑interview follow‑up, offering actionable frameworks and real‑world examples to dramatically increase the chances of securing a product management role in top e‑commerce companies.
This article explains the essential purpose of order splitting in e‑commerce, outlines seven common splitting scenarios—from merchant and multi‑warehouse splits to logistics, inventory, and after‑sale cases—shows their impact on cost, fulfillment efficiency, and customer experience, and presents a three‑module system design to implement robust splitting logic.
This article examines the “Hundred Billion Subsidy” rental model, analyzes six core human motivations that affect leasing decisions, and outlines concrete design tactics—such as price highlighting, trust cues, countdown timers, and scarcity signals—to dramatically improve user conversion rates.
Although WeChat Moments can feel noisy, this article reveals how its unstructured, low‑disguise posts expose deep psychological motives and hidden commercial opportunities, offering a systematic way to decode user needs through seven common behaviors and practical analytical tools.
A comprehensive glossary for e‑commerce product managers that defines key metrics such as GMV, SKU, UV, CVR, AOV, CPC, and models like RFM and AARRR, while highlighting common pitfalls and practical strategies for data‑driven decision making.
This comprehensive guide covers core WMS terminology—from basic concepts like locations, storage slots, and SKUs to inbound/outbound processes, inventory management techniques such as FIFO and safety stock, strategic approaches including wave and picking methods, essential equipment like PDAs and RFID, and advanced industry jargon, providing product managers with the knowledge to navigate technical discussions, impress stakeholders, and optimize warehouse operations.
The article dissects why many B2B GenAI projects fail to scale despite heavy investment, highlighting overlooked challenges in data preparation, model specialization, product integration, user experience, and organizational culture, and proposes concrete ways to bridge these gaps.
This article dissects popular product management frameworks—from user stories and Maslow's hierarchy to AARRR, growth hacking, and data models—explaining their definitions, practical applications, and common pitfalls, helping practitioners separate genuine value from misleading hype.
OpenAI announced that Fidji Simo, former Instacart CEO and longtime Meta executive, will join as Application CEO reporting directly to Sam Altman, while Altman remains CEO focusing on research, compute, and safety, signaling a strategic shift toward product scaling and AGI development.
This article examines the pain points of consumer‑finance product users—confusing terminology, security concerns, and cumbersome processes—and proposes a three‑dimensional redesign (cognitive, emotional, efficiency) to make borrowing clearer, safer, and more efficient.
The article offers a comprehensive guide for product managers, discussing senior role examples, the realities of director positions in large and small firms, the importance of saving money, horizontal skill expansion, deep industry specialization, entrepreneurship options, and the value of side‑projects for long‑term career sustainability.
This article explains why error handling is often neglected in UX, outlines common error types, and provides practical guidelines—such as using conversational language, avoiding excessive humor, employing active voice, offering clear solutions, and maintaining consistent patterns—to create helpful, user‑centric error messages.
Meituan's AI recruitment page showcases diverse opportunities across AI infrastructure, intelligent interaction, visual intelligence, and intelligent products, featuring roles from algorithm engineers to product managers working on cutting-edge technologies including large models, intelligent agents, and multimodal systems.
The notes synthesize two books on Taobao’s decade‑long evolution, detailing product category growth, key concepts like SPU/SKU, business challenges and pricing models, a shift from LAMP to Java‑based architecture, and pioneering middleware such as TFS, Tair, HSF, TDDL, culminating in a massive open platform with hundreds of APIs.
This article explains the concept of box inventory in warehouse management, illustrating how treating goods as outer‑most containers simplifies operations, improves efficiency, optimizes space, and reduces risk, while providing product managers with practical design rules and handling guidelines.
This article explains the purpose, characteristics, lifecycle, planning methods, advantages, and potential pitfalls of Beta testing, offering a structured approach to collect real‑user feedback, assess product quality, and reduce launch risk before official release.
In a detailed interview, OpenAI CEO Sam Altman explains the delayed release of upcoming models o3 and o4‑mini, previews the imminent launch of GPT‑5 on a free tier, outlines the company’s shift toward a consumer‑tech business model, and shares his views on AGI, hallucinations, regulation, competition, and career advice for the next generation.
The article examines the growing tension between product‑manager candidates and companies over demanding prototype assignments in interviews, exposing trust gaps, time‑cost anxieties, and misaligned expectations, and offers practical strategies for both applicants and recruiters to make the process fairer and more effective.
This article reveals seven common pitfalls—ranging from overly complex category trees and bloated attribute lists to conflicting tags, cluttered main images, immersive detail pages, fragmented SPU‑SKU structures, and careless cross‑platform copying—that sabotage e‑commerce product visibility and conversion, and offers practical, data‑driven solutions to fix them.
The article recounts how Andy turned a challenging wedding seating arrangement into the PerfectTablePlan software, detailing its development with C++/Qt, use of genetic algorithms and quantum computing, rapid market adoption, extensive marketing tactics, and the eventual creation of a sustainable one‑person business.
This article explores the evolution, architecture, design preparation, processing flow, front‑end/back‑end considerations, configuration strategies, and diverse real‑world examples of checkout systems across medical, e‑commerce, entertainment, ETC, and gaming domains, highlighting how business needs shape payment experiences.
This article shows how a product manager transformed intricate promotion rules—like "spend 300, get 50 off" with exclusions—into a visual, low‑code builder using modular components, natural‑language parsing, safety checks, version control, A/B testing, and collaborative approval flows.
This guide shows how product managers can redesign a chaotic e‑commerce admin panel by applying a four‑step information‑architecture process—role analysis, navigation hierarchy, global search, and feedback—to boost efficiency, reduce errors, and create a seamless user experience.
This article chronicles Adam D'Angelo's journey from a Facebook engineering leader to the founder of Quora, detailing the platform's origins, design, business model, target market, growth milestones, and its role as a knowledge‑sharing hub comparable to Zhihu.
The article examines Harvey’s rapid rise to a $3 billion valuation, its AI‑driven legal products, strategic positioning as an “AI assistant” with scenario‑specific solutions, market‑entry tactics, and broader insights on selecting high‑value, AI‑friendly use cases for legal AI.
The article categorizes global payment methods by continent and country, analyzing wallet, internet, mobile, card, prepaid, cross‑border, POS, offline and other payment dimensions, and presents visual breakdowns for Asia, Europe, and the rest of the world.
This article analyzes a disastrous discount‑stacking case, identifies three core vulnerabilities in e‑commerce promotion logic, and presents a three‑part defensive framework plus a financial rescue toolkit to prevent massive losses and curb scalper abuse.
This article explains how product managers can distinguish genuine needs from superficial feature requests, uncover underlying pain points, quantify expectations, and define clear success metrics, using practical examples like a customer asking for an ice cream versus needing temperature relief.
In today’s fast‑changing market, traditional product planning falls short, so this article explains how AI‑powered data integration, predictive analytics, and dynamic feedback loops can create a real‑time, data‑driven product roadmap, detailing three implementation phases—data unification, intelligent analysis, and continuous adjustment—with practical steps for product managers.
This article shows how a single spreadsheet can cut the time spent on demand‑review meetings by up to 80%, using cost calculations, demand‑tagging, e‑commerce style persuasion, and decision‑tree tables to turn eight‑hour sessions into eight‑minute ones.
This article reveals how vague or incomplete requirement documents can cost companies hundreds of thousands, outlines three common fatal mistakes with concrete examples and corrective guidelines, and provides a practical checklist to rescue and improve future specifications.
The article introduces the AGENT decision‑making framework, explains its five steps—Assumption, Generation, Evaluation, Nurture, Test—through a detailed smart‑home product development example, and shows how systematic analysis can produce innovative, cost‑effective solutions.
In 2024 JD Retail Technology showcased a suite of innovations—including a major JD APP redesign, data‑driven inventory and allocation algorithms, an AIGC content platform, a low‑code national‑subsidy system, a large‑scale data lake, AI‑powered merchant assistants, cross‑platform Taro on Harmony, advanced advertising creative generation, immersive XR shopping experiences, and a domestic‑chip AI engine—demonstrating how AI, big data, and modern development frameworks drive faster fulfillment, richer user experiences, and operational efficiency.
User interviews remain essential in product management, yet many struggle to execute them effectively; this guide outlines when to use interviews, a detailed step‑by‑step process—from defining goals and recruiting participants to analyzing and presenting findings—while highlighting common pitfalls and best practices.
This article recounts how a product manager defined and implemented a unified payment settlement middle‑platform, identified core system problems, proposed five central hubs, and illustrated the architecture with diagrams to guide future financial solutions.
This article details how the TrainPal team tackled low new‑user conversion by creating a memorable, extensible, and fun brand identity—using personified symbols, gift‑box motifs, multi‑scene animations, and emotionally‑driven copy—to engage European young travelers across the app’s key touchpoints.
The article breaks down the core formulas from Liang Ning’s book “True Demand,” explaining how product value is built from functional, emotional, and asset components, how emotional value is driven by physiological arousal, cognitive cues, and mental accounting, and how change dynamics, brand positioning, and personal value assessment shape successful business strategies.
Reinforcement Fine-Tuning (RFT), unveiled at OpenAI’s 12‑day launch, introduces a feedback‑loop approach that transforms generic models into specialized experts using reinforcement learning, small data, and domain‑specific scorers, offering product managers a powerful tool for rapid, cost‑effective AI customization across industries.
In 2003 a modest Australian startup’s desktop mapping app was transformed over a single weekend when Google’s founders challenged its engineers to rewrite the code for the web, cutting size by a third, boosting speed tenfold, and launching the revolutionary Google Maps that reshaped online navigation.
This article presents a detailed collection of product key performance indicators (KPIs) covering user growth, retention, activity, satisfaction, market share, revenue, development cycles, resource utilization, team satisfaction, brand awareness, and strategic goal achievement, along with formulas, weighting, and scoring methods for systematic performance assessment.
This article shares a series of B‑side experience design case studies—including a digital keypad for streamlined data entry, task tip cards for instant guidance, floating cards to reduce navigation, and innovative data‑visualization components—illustrating how thoughtful interaction design can boost efficiency, reduce user friction, and foster a seamless product‑user rapport.
The article distills a fireside chat between OpenAI’s CPO Kevin Weil and Anthropic’s CPO Mike Krieger, highlighting how uncertainty, iterative co‑design, evolving product‑manager skills, human‑AI collaboration, non‑deterministic UI, and emerging trends like proactivity, asynchrony, multimodality and personalization shape modern AI product development.
This article introduces the concept and capability model of strategy products, outlines the three generations of product managers, presents a simplified talent development framework, discusses practical workflow, examines six AI‑era strategic product questions, and shares 2024 observations on recommendation performance and future skill development.
Eight JD Retail engineers recount their career paths, technical challenges, and personal philosophies, covering topics such as data‑flow tooling, large‑scale architecture refactoring, product‑centric design, AI‑driven unit‑test generation, and the enduring passion that drives their work in software development.
This article details Baidu's comprehensive redesign of its gold‑purchase journey, covering unified framework selection, order‑step consolidation for natural and ad traffic, multi‑dimensional UI upgrades, and the resulting conversion boost within the Baidu App ecosystem.
The article explains how product managers should first analyze business architecture and user expectations, then use functional, information, and product architecture diagrams to systematically design and communicate product structure, avoiding premature detail work and ensuring coherent, scalable solutions.
This article explains the three core customer experience metrics—CSAT, NPS, and CES—their definitions, measurement methods, advantages and disadvantages, how they relate to each other, and how to combine them with user journey maps to build a comprehensive experience management system for product improvement.
This interview explores programmer Ji Nian’s journey from a modest internship to creating a profitable overseas tool platform, illustrating how his second‑curve framework, values, strengths, and passions guide independent development and product‑focused entrepreneurship in the AI era.
This article explains the concept of user experience, why it must be quantified, and introduces several industry‑standard UX measurement frameworks—including UES, PLUSE, HEART, PTECH and GSM—detailing their dimensions, indicators and practical application for product teams.
This article recounts the development of JD.Vision as a native Apple Vision Pro application, detailing how spatial computing reshapes e‑commerce experiences, the challenges of home‑scene product visualization, user‑type strategies, and the product‑manager growth lessons drawn from the project.
This article examines when and why organizations should combine or separate the CTO and CPO roles, exploring the benefits, challenges, and strategic considerations of a unified CPTO leadership model based on real‑world experience at Exclaimer.
This case study details how a recruitment platform identified user‑experience gaps, used journey‑mapping to uncover blue‑collar preferences, implemented design strategies such as local‑job emphasis, anti‑spam features, and address filtering, and achieved measurable improvements in click‑through and conversion rates.
