University of California, Davis

Customer Research with Generative AI for Product Managers

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University of California, Davis

Customer Research with Generative AI for Product Managers

Lindsay Oishi

位教师:Lindsay Oishi

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
初级 等级

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9 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

9 小时 完成
灵活的计划
自行安排学习进度

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April 2026

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

In this week, you’ll get oriented to the course and begin identifying meaningful customer problems by combining empathy with AI-assisted research. You’ll explore how generative AI fits into modern product management, set up the tools you’ll use throughout the course, and connect your personal goals to the skills you’re building. You’ll learn how to understand customers deeply, use AI to explore patterns in their needs and frustrations, and evaluate AI-generated insights for accuracy and bias. By the end of this week, you’ll be able to define a clear customer group and problem space worth exploring. You’ll apply your learning by reflecting on your goals, using AI tools to investigate customer needs, and drafting your own customer problem statement. Tip: Focus on understanding the customer before jumping to solutions—strong discovery leads to better products.

涵盖的内容

17个视频6篇阅读材料3个作业

In this module, you’ll learn how to design and conduct effective customer interviews using AI as a support tool. You’ll explore how to plan interviews that uncover meaningful insights, generate and refine interview questions with AI, and guide conversations toward real experiences rather than opinions. You’ll also learn how to apply ethical best practices when working with customers and AI tools. By the end of this module, you’ll be able to design and run a customer interview that produces actionable insights. You’ll apply your learning by creating an interview guide with AI and conducting your own customer interviews. Tip: The most valuable interviews focus on what people have actually done—ask for stories, not hypotheticals.

涵盖的内容

15个视频4篇阅读材料3个作业

In this module, you’ll learn how to turn raw interview data into clear insights using AI-supported analysis. You’ll explore how to identify patterns and themes in qualitative data, use generative AI to support synthesis, and evaluate AI outputs for accuracy and potential bias. You’ll also learn how to create a customer journey map to visualize insights and better understand the user experience. By the end of this module, you’ll be able to analyze interview data and identify meaningful customer problems. You’ll apply your learning by extracting themes from interview data and building a customer journey map. Tip: AI can speed up analysis, but your judgment is essential—always review and validate what AI produces.

涵盖的内容

12个视频2篇阅读材料3个作业

In this module, you’ll learn how to turn customer insights into high-impact product opportunities using AI-supported research. You’ll explore how to reframe problems using the Jobs To Be Done framework, conduct lightweight market research with AI tools, and identify opportunities that are common, painful, and underserved. You’ll also learn how to evaluate which opportunities are most worth pursuing. By the end of this module, you’ll be able to define and prioritize a high-impact product opportunity. You’ll apply your learning by using AI to explore the market landscape and identify your top opportunity. Tip: The best opportunities sit at the intersection of real customer pain and unmet market need.

涵盖的内容

13个视频2篇阅读材料2个作业1个讨论话题

位教师

Lindsay Oishi
University of California, Davis
1 门课程1 名学生

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¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。