Core Insights - The article emphasizes the importance of deeply understanding user needs to create strategic flagship products, highlighting that without genuine demand, products will not succeed [2][4][46] Group 1: User Needs - User needs can be categorized into explicit (above the iceberg) and implicit (below the iceberg) demands, with the latter representing hidden motivations and desires [2][4] - Identifying unmet or potential needs is crucial for product development, as conventional consumer demands are already satisfied [4][46] Group 2: Kano Model - The Kano model is introduced as a tool for classifying user needs and prioritizing them based on their impact on user satisfaction [5][6] - The model categorizes needs into five types: Must-be, One-dimensional, Attractive, Indifferent, and Reverse, each with distinct implications for user satisfaction [6][15] - Understanding the relationship between product features and user satisfaction through the Kano model can guide effective product development [5][6][15] Group 3: Demand Analysis and Case Studies - The article presents various case studies across different industries, demonstrating how the Kano model can be applied to identify and prioritize user needs effectively [37][38][39] - Examples include the consumer electronics sector, where a smartwatch's features were analyzed to enhance market share, and the food industry, where plant-based meat products were innovated to stand out in a competitive market [37][38] - Each case study illustrates the process of collecting user feedback, categorizing needs, and implementing changes that led to significant improvements in user satisfaction and market performance [37][38][39] Group 4: Strategic Product Development - Companies are encouraged to focus on "Attractive" needs to drive product innovation and market differentiation [46][48] - The article concludes that leveraging the Kano model allows companies to dynamically track and respond to changing consumer demands, fostering continuous product evolution [46][48]

Core Insights - The online consultation market in China is experiencing explosive growth, driven by the fast-paced modern lifestyle and increasing health awareness among the population. The market size is projected to reach 69.54 billion yuan in 2024, reflecting a year-on-year increase of 23.4% [1][11]. Online Consultation Industry Overview - Online consultation refers to a medical service model that allows patients to communicate with doctors remotely via internet platforms, breaking geographical barriers and utilizing various communication methods such as video, text, and voice [2]. - The industry has evolved through three main stages: the nascent phase (2000-2014), the initiation phase (2015-2016), and the rapid development phase (2017-present) [4][5]. Industry Development and Trends - The COVID-19 pandemic has accelerated the acceptance of online consultations, leading to increased government support and policy initiatives aimed at promoting remote medical services [6]. - The number of healthcare institutions in China is projected to grow from 1,007,600 in 2019 to 1,093,600 in 2024, driven by rising healthcare demands due to an aging population and chronic disease prevalence [8][9]. Competitive Landscape - The online consultation industry features a diverse competitive landscape, including comprehensive medical platforms, specialized medical platforms, and pharmaceutical e-commerce platforms. Major players include Ping An Good Doctor, JD Health, and Alibaba Health [11][12]. Future Development Directions - The integration of advanced technologies such as artificial intelligence and big data is expected to enhance the efficiency and accuracy of online consultation services [13]. - Establishing a robust regulatory framework for medical service quality is crucial for the sustainable development of the online consultation industry, addressing challenges such as verifying medical qualifications and ensuring accurate diagnoses [14]. - Data security and privacy protection are paramount, as the industry handles sensitive patient information. Strengthening data management practices and employing advanced encryption technologies are essential for safeguarding patient data [15].