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

Instructor: Lindsay Oishi

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

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Recently updated!

April 2026

Assessments

11 assignments¹

AI Graded see disclaimer
Taught in English

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There are 4 modules in this course

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.

What's included

17 videos6 readings3 assignments

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.

What's included

15 videos4 readings3 assignments

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.

What's included

12 videos2 readings3 assignments

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.

What's included

13 videos2 readings2 assignments1 discussion prompt

Instructor

Lindsay Oishi
University of California, Davis
1 Course1 learner

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.