美团Keeta-User Operations Intern

1.Design Delivery Pricing Models: Proactively design delivery pricing models that address local business pain points. Build efficient pricing models to increase order acceptance rates, optimize user experience, and meet diverse business scenarios and customer needs. 2.Optimize Delivery Pricing Strategies: Responsible for optimizing and operating delivery pricing strategies, including daily monitoring and analysis, and collaborating with product and algorithm teams to continuously improve delivery experiences at all stages through algorithm and product improvements, thereby increasing delivery efficiency. 3.Monitor Market Demand: Monitor changes in market demand, analyze internal supply issues, and other delivery strategies adopted by companies in the industry to continuously enhance cost efficiency. 4.Data Monitoring and Problem Solving: Monitor supply and delivery experience data daily, weekly, and monthly, identify regional supply issues, and drive solutions through product or operational strategies/incentives to achieve supply quantity and experience goals. 1. 设计配送定价交易模式：主动设计能够解决本地业务痛点的配送定价交易模式。构建高效的定价交易模型，提升订单接受率，优化用户体验，满足多样化的业务场景和客户需求。 2. 优化配送定价策略：负责优化和运营配送定价策略，包括日常监控、分析，并与产品和算法团队合作，通过算法和产品改进不断提升各阶段的配送体验，从而提高配送效率。 3. 监控市场需求：监控市场需求变化，分析内部供给问题以及行业内其他公司采用的配送策略，不断提升成本效率。 4. 数据监控与问题解决：每日、每周和每月监控供给和配送体验数据，识别区域性供给问题，并通过产品或运营策略/激励措施推动解决方案，以实现供给数量和体验目标。

1、为配送体验指标负责，全程监控履约流程中的负面体验问题，构建系统化的体验问题分析与拆解能力，深入洞察关键痛点，推动问题闭环解决。 2、搭建骑手考核与管控体系，包括但不限于骑手分层运营、奖惩机制等，针对不同类型运力制定差异化考核方案，全面保障骑手履约服务质量。 3、推动正向运营机制建设，通过完善骑手培训体系与激励机制，提升骑手履约表现，降低违规率，增强骑手服务积极性与稳定性。 4、优化骑手判责与申诉全链路流程，通过产品能力建设和智能识别模型等手段，提升责任判定的准确性与公平性，确保管控机制公开、透明、合理。 5、跨部门协同合作：保持与产品、运营、客服等协同团队的良好沟通，从全局视角出发，不断提升整体履约服务水平。 1.Responsible for delivery experience metrics: Monitor and identify negative experience issues during the fulfillment process, such as order delays and cancellations. Build analytical and diagnostic capabilities for experience-related issues to identify key pain points and drive resolutions. 2.Establish rider assessment and management systems: This includes, but is not limited to, tiered rider operations and disciplinary measures. Develop differentiated evaluation schemes tailored to various types of delivery capacity to ensure service quality in rider fulfillment. 3.Enhance rider performance through positive operational strategies: Build training and incentive systems to improve rider performance and reduce violations. 4.Optimize the full responsibility-assessment chain for riders: Oversee the entire process of rider accountability, control, and appeals. Improve fairness and accuracy of responsibility judgments through product capability development and model-based identification systems. 5.Collaborate with cross-functional teams: Maintain strong coordination with other departments and take a holistic view to enhance overall fulfillment service quality.

改善用户体验并提升转化率 1. 制定用户体验目标及运营规划，推进体验运营机制的建设 2. 搭建用户体验侧指标体系，开展周期性监督，定位关键用户体验卡点，并洞察用户体验与C端转化率之间的相关性，判断需要重点改善的用户体验类卡点的优先级 3. 通过体验走查，数据分析，调研等方式，深入了解用户痛点和需求，及时发现产品、规则、流程中的体验问题及风险，产出改善方案 4. 负责整理/输出运营工具、营销工具，以及流量工具的 BRD，进行项目管理，协助产研优化产品工具 5. 与各部门协作，制定优化用户体验的策略，改善用户体验，最终带来转化率提升 用户体验行业洞察 1. 用户侧调研：主导用户调研（访谈、问卷、可用性测试等），分析用户需求和行为，输出洞察报告，用于产品及运营侧规划及管理层辅助决策 2. 同类产品研究：主导同类产品调研，识别其在用户体验及产品设计上的优势及不足，输出洞察报告，用于产品及运营侧规划及管理层辅助决策 3. 基于洞察报告，为关键产品的设计提供建议 Improve User Experience and Increase Conversion Rate 1. Define user experience goals and operational plans, and promote the establishment of experience-focused operational mechanisms. 2. Build a user experience KPI system, conduct regular monitoring, identify key pain points in the user journey, and analyze the correlation between user experience and B2C conversion rates to prioritize improvements. 3. Gain deep understanding of user pain points and needs through UX walkthroughs, data analysis, and user research; identify experience issues and risks in product, policies, and processes, and propose actionable improvement plans. 4. Responsible for compiling and delivering BRDs (Business Requirement Documents) for operational, marketing, and traffic tools; manage related projects and support product and engineering teams in optimizing tool design. 5. Collaborate cross-functionally to develop user experience optimization strategies aimed at improving overall UX and ultimately increasing conversion rates. Industry Insights on User Experience 1. User Research: Lead user research initiatives (e.g., interviews, surveys, usability testing) to analyze user needs and behaviors, and generate insight reports to support product planning, operational strategies, and decision-making at the leadership level. 2. Competitive Analysis: Lead research on comparable products to identify strengths and weaknesses in their user experience and product design, and deliver insight reports to support internal planning and strategic decisions. 3. Based on these insight reports, provide recommendations for the design of key products.

广告投放策略&管理 1. 负责某一个主流效果广告平台（如Google、Facebook、TikTok等）的日常运营与管理，包括账户搭建、关键词选取、营销活动定位、用户分层和筛选、出价优化、消耗节奏等，不断提升广告投放的质量与效果； 2. 定期对本渠道的广告投放策略进行复盘与优化，根据市场动态、用户行为变化及投放数据反馈，及时调整策略方向，保障广告投放始终保持高效； 广告创意策划与优化​ 1. 协同设计部门，策划富有吸引力与转化力的广告创意，包括广告文案、图片、视频等素材的构思与制作指导，确保广告内容能够有效吸引用户关注并激发其行动； 2. 基于 A/B 测试等方法，对广告创意进行持续优化，通过分析不同创意版本的投放数据，挖掘用户喜好与行为规律，不断迭代创意内容，提高广告的点击率、转化率等关键指标； 数据分析与效果评估​ 1. 实时收集、整理与分析广告投放数据，包括曝光量、点击量、转化率、成本等关键指标，深入洞察广告投放效果及用户行为路径； 2. 定期出具详细、专业的广告投放效果评估报告，通过数据可视化呈现投放成果，精准定位问题与机会点，并提出针对性的优化建议与解决方案，为广告投放决策提供有力的数据支持；​ 3. 运用数据分析手段，对用户进行细分与画像，深入了解不同用户群体的特征与需求，实现广告的精准定向投放，提升广告投放的精准度与投资回报率。​ Advertising Strategy & Management 1. Responsible for the daily operation and management of a major performance advertising platform (e.g., Google, Facebook, TikTok), including account setup, campaign targeting, user segmentation and filtering, bid optimization, and pacing—continuously improving the quality and effectiveness of ad campaigns. 2. Regularly review and optimize advertising strategies for the assigned platform. Adjust strategic direction in a timely manner based on market dynamics, user behavior changes, and performance feedback to ensure continued efficiency and effectiveness. Ad Creative Planning & Optimization 1. Collaborate with the design team to plan compelling and conversion-driven ad creatives, including ad copy, images, videos, etc. Guide the production process to ensure the content effectively captures user attention and drives action. 2. Continuously optimize creative content using methods such as A/B testing. Analyze performance data of different creative versions to identify user preferences and behavior patterns, iterating to improve key metrics such as CTR and conversion rate. Data Analysis & Performance Evaluation 1. Collect, organize, and analyze real-time advertising data, including impressions, clicks, conversion rates, cost metrics, etc., to gain deep insights into campaign performance and user behavior. 2. Produce detailed and professional performance reports regularly, using data visualization to clearly present results. Identify issues and opportunities, and propose actionable optimization recommendations and solutions to support informed decision-making. 3. Leverage data analysis to segment users and build user profiles, gaining a thorough understanding of different audience groups’ characteristics and needs. This enables highly targeted advertising and improved return on investment.