How to use prompts to simulate the search behavior of different user roles?

When needing to use prompts to simulate the search behavior of different user roles, it is usually necessary to clarify role characteristics, demand scenarios, and search goals to construct search instructions that align with real user intentions. Role identity: Users with different occupations, ages, or goals exhibit significantly different search behaviors. For example, a "25-year-old workplace newcomer" might search for "recommendations for cost-effective entry-level laptops," while an "enterprise procurement manager" is more likely to query "comparison of suppliers for bulk office equipment purchases." Demand scenario: Design prompts based on specific usage scenarios. For information query scenarios, you can simulate "how beginners learn Python programming"; for product comparison scenarios, "Huawei Mate 60 vs. iPhone 15 battery life test comparison" is suitable; for problem-solving scenarios, such as "quick methods to unclog a kitchen sink." Search stage: Distinguish the decision-making stage the user is in. The initial understanding stage might involve searching for "what is the metaverse"; the in-depth research stage is suitable for "download white paper on metaverse technical architecture"; the decision-making stage could be "2024 metaverse platform subscription plan prices." It is recommended to first clarify the core characteristics of the role (such as occupation and pain points) through user portraits, then refine the prompts in combination with specific scenarios. This can improve the authenticity and relevance of the simulation, helping to optimize the search experience or content strategy.