AI 时代最大的“幻觉”：我们有了最强工具，却正在失去定义真问题的能力

Core Viewpoint - The essence of business remains the connection between people, and understanding user needs and insights is crucial for growth, especially in the AI era [2][5][15]. Group 1: AI and Growth - The arrival of AI has changed growth logic, but the fundamental principle of understanding user needs remains unchanged [6][7]. - AI can empower businesses by providing real incremental value and improving efficiency in user acquisition and retention [6][7][49]. - Companies that focus on unmet user needs can discover significant growth opportunities, as demonstrated by the AI PPT case targeting mothers [10][14]. Group 2: User Insights and Metrics - Establishing the right North Star metric is essential for guiding growth strategies, as seen in Meituan's shift from GMV to order volume [18][19]. - Metrics should be based on user insights and can evolve with the product lifecycle, ensuring alignment with user needs and market conditions [20][21][27]. - The importance of understanding why users leave is emphasized, as it can be more critical than knowing why they stay [55][51]. Group 3: Data Analysis and Strategy - A systematic approach to data analysis is necessary for effective decision-making, allowing for detailed breakdowns of performance metrics [31][32]. - Companies should focus on user behavior and preferences to refine their strategies, ensuring that insights are actionable and relevant [36][38]. - AI can assist in data processing and user research, enhancing productivity and decision-making capabilities [40][52]. Group 4: Retention and Recall Strategies - Retaining users requires a deep understanding of their needs and behaviors, with AI models helping to identify key factors influencing user retention [49][51]. - The ability to recall users hinges on understanding the reasons for their departure, which can be influenced by various factors, including geographic and economic indicators [51][52]. - Companies must balance short-term gains with long-term user value to ensure sustainable growth [22][30]. Group 5: Challenges in AI Growth - Despite the potential of AI, challenges remain in achieving high retention rates and effective monetization strategies [56][57]. - The industry is evolving, with domestic companies leading in growth strategies, indicating a shift in knowledge exchange between international markets [57].