蚂蚁金服蚂蚁国际-客户体验-业务体验-体验运营-GBSS

1、为OTA行业解决方案产品的用户基础体验负责，关注业务全链路产品方案，具备用户视角，深入洞察用户在行前、行中、行后的用户动线与体验，设计产品方案，为用户提供便捷的产品服务； 2、洞察用户在使用产品过程中的诉求，推动建立细化行业的服务保障机制，设计端到端服务解决方案及服务流程撰写，AI/智能服务的能力应用及部署，为用户提供放心的旅游服务保障； 3、根据旅游业务特点，优化迭代服务方案及体验洞察策略，提升用户体验的同时，能够通过智能服务解决方案，及服务机制促进用户复访复购； 4、主动洞悉NPS/CSAT和用户求助中的用户痛点，关注产品细节，结合用户行为数据、业务指标数据等多维、多视角的分析定位问题根源，持续推动全链路体验痛点的解决和优化。 5、具备服务资源管理及人力培养经验，保障前线客服的服务质量，服务意识，及服务方向匹配业务的需求。 6、具备AI工具落地应用经验，能够通过AI Workflow搭建实现工作流程线上化，理解AI底层逻辑（如Token消耗、智能服务部署成本等），在客服domain有AI项目从0到1的实践经验，并通过AI工具实现个人及团队提效。 1. Own the foundational user experience for OTA industry solution products, focusing on end-to-end product solutions across the travel journey. Adopt a user-centric perspective to deeply understand user behaviors and experiences during pre-trip, during-trip, and post-trip stages. Design product solutions that deliver convenient and seamless services to users. 2. Identify user needs throughout the product usage journey and drive the establishment of refined, industry-specific service assurance mechanisms. Design end-to-end intelligent and human-supported service solutions, and author comprehensive service process documentation to provide users with reliable and trustworthy travel service guarantees. 3. Optimize and iterate service solutions and experience insight strategies based on the unique characteristics of the travel business. Enhance overall user experience while leveraging intelligent service solutions and service mechanisms to drive user return visits and repeat purchases. 4. Proactively identify user pain points from NPS/CSAT feedback and customer support interactions. Pay close attention to product details and conduct multi-dimensional, multi-perspective analysis—integrating user behavior data, business performance metrics, and qualitative insights—to pinpoint root causes of issues. Continuously drive resolution and optimization across the full user journey. 5. Possess experience in service resource management and talent development, ensuring frontline customer service teams maintain high service quality, strong service mindset, and alignment with business goals and direction. 6. Possess hands-on experience in AI tool implementation, with capability to build AI Workflows for process digitization. Understand AI fundamentals and have end-to-end AI project experience in service operations, and demonstrate track record of driving personal and team efficiency through AI tools.

1. Analyze and design overall service and business support systems based on customer value and strategic demands, incorporating insights from industry trends, cross-department communication, and organizational assessments. 2. Design end-to-end service and business support solutions from an AI perspective, addressing cognitive and usage barriers for users and operational bottlenecks in support processes. This includes modules for demand identification, feature exploration, tool processes, channel planning, knowledge content, and quality management. 3. Evaluate and deploy support strategies and capabilities for changes in business, including self-service, human support, and deferred service. Provide support solutions for service design and deployment upgrades. 4. Identify customer obstacles and pain points, and develop service solutions adapted from customer view, continuously improving and optimizing solutions to enhance overall customer experience. 5. Collaborate with product and R&D teams in strategy and capability deployment to ensure smooth delivery and timely results with high quality. 6. Accumulate mechanisms and standards for service design and operations to ensure continuity and inheritance. 1. 围绕客户价值及服务支持本质，结合不同阶段的战略诉求，通过对行业趋势的洞察、跨部门的沟通协作、组织保障的评估等方式，分析并设计整体服务及业务支持体系； 2. 结合AI视角，在基于客户服务诉求进行全链路服务及业务支持解决方案设计，以解决用户触达产品时的认知障碍、使用障碍和支持业务过程中的运营流程卡点。亦需要包括基于 诉求识别、特征挖掘、工具流程、渠道规划、知识内容、质量管理的多模块服务运营支持体系和规划来设计包括AI赋能的服务及业务支持解决方案； 3. 针对业务变动进行服务业务支持影响评估及策略部署，在服务及业务支持端进行自助、人工、迟滞承接的能力部署及开量支持，亦会针对业务支持的服务设计部署升级提供支持方案； 4. 洞察客户障碍和服务痛点，从客户视角出发输出适配服务渠道的解决方案，持续以项目等方式推动方案优化改善，从而提升整体客户体验； 5. 在策略及能力部署过程中端到端协同产品及研发团队一起保障交付链路顺畅，保质保量按时交付结果； 6. 沉淀服务设计和运营的机制和标准，保障持续性和传承性；

1. 主导用户体验服务全链路运营：通过NPS调研、用户访谈、用户原声挖掘等方法构建多维度用户声音监测体系，拆解用户反馈产品使用痛点，输出用户体验评估模型； 2. 竞品对标与策略制定：通过竞对分析明确产品体验用户使用关键差异点，结合用户行为数据提出改进策略； 3. 用户体验优化闭环：基于对业务产品特性深入理解，通过数据分析挖掘用户核心需求，联动产品/技术团队进行产品体验优化并落地；

1、擅长各种用户研究和分析方法，通过用户调研、深入分析客户的产品交互行为数据、行业竞品洞察等，识别影响用户隐私体验核心问题，体系化、数据化地进行问题呈现并给出改进建议，并能落地覆盖到各个业务； 2、梳理分析隐私体验重点的体验折损和敏感案例，产出有共识、统一的隐私体验规范，有效开展用户隐私体验管控，从源头保障用户隐私体验； 3、擅长最大化整合及利用资源，对于top负面问题提出解决方案，探索上线正向创新功能，提升用户隐私体验和信任度。