Core Viewpoint - The article discusses how to achieve product innovation in the AI era by leveraging insights from top global companies' methodologies, emphasizing the importance of structured approaches in product planning, design, and promotion [10][42]. Group 1: Product Innovation Methodologies - The article highlights the product innovation methods of ten leading companies, including Apple, Amazon, Google, Tesla, Huawei, Alibaba, Tencent, ByteDance, Procter & Gamble, and Johnson & Johnson, each with unique frameworks and strategies [11][37]. - Commonalities among these companies include customer-centricity, iterative feedback, data-driven decision-making, cross-functional collaboration, and systematic processes [40][42]. Group 2: Specific Company Approaches - Apple employs a design-driven approach and the Apple New Product Process (ANPP), focusing on deep user insights and iterative prototyping [12][14]. - Amazon utilizes a reverse engineering method with PR/FAQ documents to clarify product concepts before development [18]. - Google implements OKR (Objectives and Key Results) and design sprints to align product development with its mission and ensure rapid iteration [20]. - Tesla applies first principles thinking and agile hardware development to enhance innovation speed [22]. - Huawei's "Five Looks and Three Decisions" method emphasizes comprehensive market analysis and systematic execution [24]. - Alibaba's middle-platform strategy standardizes capabilities for agile innovation across its business units [26]. - Tencent focuses on user value, a racehorse mechanism for product development, and agile methodologies for rapid iteration [28][29]. - ByteDance operates as an "application factory," emphasizing data-driven A/B testing for product development [31]. - Procter & Gamble prioritizes consumer insights and integrated marketing strategies [33]. - Johnson & Johnson maintains rigorous processes for product innovation across its healthcare sectors [35]. Group 3: Universal Product Innovation Framework - A universal product innovation framework is proposed, consisting of three stages: product planning, design and development, and promotion [42]. - In the product planning stage, companies should ensure the correctness of innovation directions through strategic opportunity analysis and deep market insights [43]. - The design and development stage focuses on creating a closed-loop value creation process, integrating definition, design, development, and validation [45]. - The promotion stage aims to maximize product value delivery to the market, drawing on successful strategies from leading companies [47]. Group 4: AI's Impact on Product Innovation - AI significantly shortens product innovation and iteration cycles, necessitating rapid learning and adaptation to maintain competitive advantages [50]. - In product planning, AI enables large-scale information insights, enhancing user and market analysis [51]. - For design and development, AI facilitates high-frequency iterative feedback, allowing for quick prototyping and user behavior analysis [54]. - In product promotion, AI enables personalized marketing strategies, enhancing user engagement and optimizing marketing content [55][56].