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Customer Research with Generative AI for Product Managers

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kurs ist nicht verfügbar in Deutsch (Deutschland)

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Customer Research with Generative AI for Product Managers

Dozent: Lindsay Oishi

Bei enthalten

Mehr erfahren

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Kompetenzen, die Sie erwerben

Kategorie: Interviewing Skills
Kategorie: Innovation
Kategorie: Product Management
Kategorie: Ethical Standards And Conduct
Kategorie: Data Ethics
Kategorie: AI Enablement
Kategorie: Market Opportunities
Kategorie: Journey Mapping
Kategorie: Prioritization
Kategorie: Customer Analysis
Kategorie: User Experience
Kategorie: Market Research
Kategorie: Responsible AI
Kategorie: User Research
Kategorie: Customer Insights

Werkzeuge, die Sie lernen werden

Kategorie: Generative AI

Wichtige Details

Zertifikat zur Vorlage

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Kürzlich aktualisiert!

April 2026

Bewertungen

11 Zuweisungen¹

KI-bewertet siehe Haftungsausschluss

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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In diesem Kurs gibt es 4 Module

By the end of this course, you’ll be able to identify, analyze, and prioritize meaningful customer problems using generative AI. You’ll learn how to combine human-centered product thinking with AI tools to conduct research, uncover insights, and define high-impact product opportunities.

You’ll develop practical skills in customer discovery, including using AI to explore customer needs, design and conduct effective interviews, and analyze qualitative data for patterns and insights. You’ll also learn how to evaluate AI outputs critically and apply ethical best practices when working with customer data. What makes this course unique is its hands-on, real-world approach to integrating AI into product management workflows. Rather than focusing on theory, you’ll apply AI tools throughout the course to complete key product tasks, from drafting interview guides to identifying opportunity areas using market research. This course is ideal for aspiring and early-career product managers, as well as professionals looking to incorporate AI into customer research and product discovery.

Moduldetails

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.

Das ist alles enthalten

17 Videos6 Lektüren3 Aufgaben

17 VideosInsgesamt 48 Minuten

Course Introduction5 Minuten
How We Will Use AI2 Minuten
Introduction to Producty Discover with Empathy and AI1 Minute
Why Customer Empathy Matters - Part 12 Minuten
Why Customer Empathy Matters - Part 22 Minuten
Definining Key Terms: Product & Customers4 Minuten
Customer Driven Innovation - Part 11 Minute
Customer Driven Innovation - Part 24 Minuten
How to Choose a Customer5 Minuten
Ethical Considerations2 Minuten
Customer Problem Statements2 Minuten
Exploring Customer Problems with Generative AI6 Minuten
Evaluating AI Confidence4 Minuten
Avoiding AI Bias5 Minuten
The Importance of Open-Mindedness2 Minuten
The Discovery/Delivery Framework3 Minuten
End of Module 1 Summary1 Minute

6 LektürenInsgesamt 39 Minuten

Course Navigation and Safety Statement1 Minute
Getting Set Up with AI Tools10 Minuten
Transforming Healthcare for Children and Their Families20 Minuten
Inuit Global: Customer Driven Innovation! 4 Minuten
Choosing a Customer Checklist2 Minuten
Checking AI Sources2 Minuten

3 AufgabenInsgesamt 90 Minuten

Draft a Customer Problem Statement with AI30 Minuten
Knowledge Check30 Minuten
Describe Your Customer30 Minuten

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.

Das ist alles enthalten

15 Videos4 Lektüren3 Aufgaben

15 VideosInsgesamt 45 Minuten

Introduction to Conducting Customer Interviews2 Minuten
Why Do Interviews? - Part 11 Minute
Why Do Interviews? - Part 21 Minute
Customer Interview Basics6 Minuten
Ask For Stories, Not Opinions3 Minuten
Listen for "Pain Points" - Part 12 Minuten
Listen for "Pain Points" - Part 23 Minuten
Don't Offer Solutions3 Minuten
Ethics in Customer Research: Respect5 Minuten
Ethics in Customer Research: Transparency3 Minuten
Ethics in Customer Research: Consent & Privacy5 Minuten
Ethical Use of AI Tools2 Minuten
Using AI to Plan an Interview6 Minuten
After the Interview2 Minuten
End of Module 2 Summary1 Minute

4 LektürenInsgesamt 7 Minuten

YouTube: The Idea That Started DoorDash1 Minute
Use Case: Pain Points1 Minute
Ethics in User Research Checklist2 Minuten
AI Supported Interviewing3 Minuten

3 AufgabenInsgesamt 90 Minuten

Use AI to Plan an Interview30 Minuten
Knowledge Check30 Minuten
Complete a Customer Interview30 Minuten

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.

Das ist alles enthalten

12 Videos2 Lektüren3 Aufgaben

12 VideosInsgesamt 29 Minuten

Introduction to Analyzing Interview Data2 Minuten
Why Analysis Matters1 Minute
From Analysis to Opportunity - Part 11 Minute
From Analysis to Opportunity - Part 22 Minuten
Extracting Themes and Quotations5 Minuten
Introduction to AI-Supported Analysis1 Minute
Common AI Analysis2 Minuten
Demo: Analyze Interviews with AI7 Minuten
Evaluating AI Outputs1 Minute
Customer Journey Maps2 Minuten
Journey Map Example5 Minuten
End of Module 3 Summary1 Minute

2 LektürenInsgesamt 4 Minuten

Embrace: Creating a Life-Saving Product2 Minuten
Using AI Responsibly for Interview Analysis2 Minuten

3 AufgabenInsgesamt 90 Minuten

Build a Customer Journey Map From Your Research30 Minuten
Your First Pass: Finding Patterns Without AI30 Minuten
Now Compare: Your Analysis vs. AI30 Minuten

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.