CIC 行业研究实习Industry Research Intern
行业研究 · 市场测算 · 研究交付 · 用户洞察Industry Research · Market Sizing · Research Deliverables · User Insights
参与科技领域 IPO 行业研究与 AI 视频产品用户研究，将市场测算、多源证据与用户数据转化为研究观点和交付内容。Contributed to technology-sector IPO industry research and AI video product user research, translating market sizing, evidence from multiple sources and user data into research findings and deliverables.
行业研究与市场测算Industry Research & Market Sizing
参与具身智能、消费电子、数字金融服务等科技领域 IPO 项目研究；搭建2020—2029年全球消费电子 PVD 镀膜解决方案市场模型，按终端、价格带及材料等维度拆分市场，结合案头研究与专家访谈验证出货量、渗透率、单价等核心参数并完成量价测算，积累对产业链结构、市场空间、竞争格局及增长驱动因素的理解。Contributed to IPO research across technology sectors including embodied AI, consumer electronics and digital financial services. Built a 2020–2029 global market model for consumer electronics PVD coating solutions, segmenting the market by end-use device, price band and material. Combined desk research and expert interviews to validate shipment volumes, penetration rates and unit prices, and completed volume-and-price-based market sizing, developing an understanding of industry value chains, market potential, competition and growth drivers.
- 市场分层Market segmentation
- 参数验证Parameter validation
- 量价测算Volume & price modeling
- 行业理解Industry understanding
研究成果交付Research Deliverables
将多源数据、专家访谈与行业研究结论整合为有数据支撑的研究论证，围绕市场规模、竞争格局与增长驱动提炼核心观点，形成结构清晰、论据衔接的中英文报告与演示材料，支持 IPO 项目行业研究报告及招股书 Industry Overview 章节的内容交付。Integrated data from multiple sources, expert interviews and industry research into evidence-backed analysis. Synthesized core findings on market size, the competitive landscape and growth drivers into clearly structured Chinese and English reports and presentations, supporting the delivery of IPO industry research reports and content for prospectus Industry Overview sections.
- 证据整合Evidence synthesis
- 观点提炼Finding synthesis
- 论证组织Structured analysis
- 中英文交付Bilingual deliverables
用户研究User Research
参与某 AI 视频产品的 C 端用户研究，主要负责3,000名受访者问卷的原始数据清洗、透视统计与比例计算，完成用户画像、创作熟练度与使用场景、付费经历和价格偏好等分析页面，并参与团队结论提炼。研究将用户背景、实际需求、历史付费行为和支出意愿分别分析，再综合判断产品上手与商业化方向。Contributed to consumer research for an AI video product, primarily handling raw data cleaning, pivot-table analysis and proportion calculations for questionnaires from 3,000 respondents. Produced analysis pages on user profiles, creation proficiency and use cases, payment history and price preferences, and contributed to the team's synthesis. The research distinguished user backgrounds, needs, past payment behavior and spending intentions before considering onboarding and commercialization directions.
从问卷统计到产品判断From survey analysis to product implications
出于数据保密要求，相关数据已进行脱敏处理，以近似比例呈现；使用场景与付费因素为多选题，按受访者选择率呈现。To meet data confidentiality requirements, figures have been anonymized and are shown as approximate proportions. Use cases and payment factors are multiple-choice responses shown as the share of respondents selecting each item.
年龄相对成熟，创作起点仍偏初级Mature age profiles, mostly beginner-level creation
31—50岁用户接近五成，新手与入门用户约占四分之三；娱乐或尝鲜是最常被选择的场景，社交分享与个人项目也较常见。样本整体呈现探索性使用特征。Nearly half of respondents were aged 31–50, while around three quarters were beginners or entry-level creators. Entertainment or experimentation was the most selected use case, with social sharing and personal projects also common. The sample suggests exploratory use.
降低首次创作成本，通过模板、示例与简化操作，帮助用户尽快获得第一条可用视频。Use templates, examples and simpler controls to reduce first-use effort and help users produce a usable first video.
- 31—50岁Aged 31–50接近五成Nearly half
- 新手与入门Beginners & entry-level约四分之三Around three quarters
- 娱乐或尝鲜Entertainment / experimentation约三分之二Around two thirds
付费门槛偏低，长期承诺仍待建立Low payment thresholds, limited long-term commitment
约三分之二受访者从未付费，偶尔按次或点数付费的人数约为订阅者的两倍。支出意愿中，接受免费者约六成，最低非零支出档约两成。两类结果共同提示低门槛、低承诺的付费倾向。Around two thirds had never paid, and occasional pay-per-use or credit buyers numbered roughly twice as many as subscribers. For spending intentions, around six in ten accepted only free use and around one in five chose the lowest non-zero tier. Both point toward low-threshold, low-commitment payment options.
优先提供按次、点数等灵活付费入口，以可靠的输出与持续使用价值支撑长期订阅。Prioritize flexible pay-per-use or credit options, and support long-term subscriptions with reliable output and recurring value.
- 从未付费Never paid约三分之二Around two thirds
- 偶尔按次或点数付费Occasional pay-per-use / credits约两成Around one fifth
- 曾订阅付费Paid for a subscription约一成Around one tenth
- 只接受免费Free use only约六成Around six in ten
- 最低非零支出档Lowest non-zero tier约两成Around one fifth
付费意愿首先看输出质量Output quality leads stated payment motivations
更高生成质量是最常被选择的付费因素，约六成受访者选择；更长时长或更高分辨率约四成，速度、可控性、去水印或商用授权各约三成。付费价值可围绕输出质量、规格和效率展开。Higher generation quality was the most selected payment factor, chosen by around six in ten respondents. Longer duration or higher resolution drew around four in ten; speed, control, and watermark removal or commercial rights each drew around three in ten. These point toward output quality, specifications and efficiency as value areas.
围绕稳定、可用的输出建立付费价值，将生成质量、规格与效率作为产品优化重点。Build payment value around reliable, usable output, prioritizing generation quality, specifications and efficiency.
- 更高生成质量Higher generation quality约六成Around six in ten
- 更长时长或更高分辨率Longer duration / higher resolution约四成Around four in ten
- 更快生成Faster generation约三成Around three in ten
- 更强可控性Greater control约三成Around three in ten
- 去水印或商用授权Watermark removal / commercial rights约三成Around three in ten
综合判断：围绕创作门槛、付费承诺与输出价值，优先优化“尽快得到可用内容”的上手体验与灵活付费方案。通过数据清洗、透视统计与结构化分析页面，参与团队洞察提炼，为产品上手与商业化方向提供依据。Overall implication: prioritize onboarding toward usable content and flexible payment options by addressing creation barriers, payment commitment and output value. Contributed to the team's synthesis through data cleaning, pivot-table analysis and structured analysis pages, informing onboarding and commercialization directions.
