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There are 4 modules in this course
Equip yourself with the skills to gather and interpret market data, assess the competitive landscape, and generate innovative product ideas. This course focuses on identifying market gaps and opportunities through thorough research and competitive analysis. You'll learn to apply B2B market research methodologies using Microsoft tools, analyze enterprise customer needs and market trends, and complete a final project demonstrating your ability to conduct impactful research. Delve into consumer behavior and segmentation, create buyer personas, and master competitive analysis techniques. Understand the unique dynamics of the AI product market, including data ecosystems and regulatory influences. This course empowers you to make data-driven decisions and develop strategies that address real market needs.
By the end of the course, you will be able to:
-* Collect and analyze market data to identify product gaps and opportunities.
*Conduct thorough competitive analysis to gain insights into competitors' strategies.
*Complete a final project that explains the ability to conduct market research and competitive analysis.
-Apply B2B market research methodologies using Microsoft tools
-Analyze enterprise customer needs and market trends
A Microsoft 365 license or free trial is needed to complete the course activities.
In this module, you will learn how to effectively apply market research techniques to make informed product decisions and drive success.
Data-driven decision making as an entry level PM•5 minutes
12 readings•Total 120 minutes
Market Research and Competitive Analysis Syllabus•10 minutes
Microsoft AI Product Manager program set up•10 minutes
Identifying your target audience•10 minutes
The market researcher's toolbox•10 minutes
How to design effective surveys and interviews•10 minutes
Choosing the right method•10 minutes
Uncovering deeper insights•10 minutes
Enterprise software buying processes and decision makers•10 minutes
A guide to synthesizing market research findings•10 minutes
Case study: Enterprise software platform analysis•10 minutes
Making data-driven decisions•10 minutes
A guide to A/B testing and beyond•10 minutes
4 assignments•Total 90 minutes
Market research methods and selection•15 minutes
Data analysis and interpretation for product insights•15 minutes
Applying market research for effective product decisions•30 minutes
Activity: B2B market research methods•30 minutes
1 discussion prompt•Total 10 minutes
Researching enterprise software needs•10 minutes
Consumer behavior and segmentation
Module 2•4 hours to complete
Module details
In this module, you will explore the world of consumer behavior, learning to analyze their motivations and segment the market for targeted product strategies.
What's included
5 videos11 readings4 assignments
Show info about module content
5 videos•Total 20 minutes
The consumer journey in 3 minutes•2 minutes
Decoding consumer behavior•5 minutes
Market segmentation 101•5 minutes
Bringing personas to life•2 minutes
Building buyer personas•5 minutes
11 readings•Total 110 minutes
The psychology of buyer choice•10 minutes
Identifying latent needs•10 minutes
Visualize the user experience journey•10 minutes
How to build habit-forming products•10 minutes
Understanding B2B decision making units•10 minutes
Segmentation strategies for product managers•10 minutes
Marketing and selling high-tech products to mainstream customers•10 minutes
Segmentation in action•10 minutes
The power of buyer personas•10 minutes
Developing user personas•10 minutes
Discover the whole story•10 minutes
4 assignments•Total 105 minutes
Consumer behavior and decision-making•30 minutes
Market segmentation strategies•15 minutes
Consumer behavior and market segmentation•30 minutes
Activity: Enterprise buyer persona development•30 minutes
Competitive analysis techniques
Module 3•5 hours to complete
Module details
In this module, you will become proficient in the art of competitive analysis, uncovering key insights about your rivals to gain a strategic advantage.
What's included
9 videos12 readings5 assignments
Show info about module content
9 videos•Total 36 minutes
Know the competition•2 minutes
Stay ahead of the game•5 minutes
Using Power BI for competitive analysis•4 minutes
A strategic snapshot•3 minutes
Introduction to SWOT analysis•5 minutes
Strategic assessment in the real world•6 minutes
The milkshake dilemma•5 minutes
Jobs to be done tools and templates•5 minutes
The competitive landscape•2 minutes
12 readings•Total 120 minutes
Decoding the competition•10 minutes
The innovator's dilemma•10 minutes
Competitive research tips•10 minutes
SWOT analysis in action•10 minutes
Internal-external assessment for product managers•10 minutes
Playing to win•10 minutes
Understanding customer jobs•10 minutes
From jobs to opportunities•10 minutes
Applying jobs to be done•10 minutes
A guide to analyzing market dynamics•10 minutes
Creating a market analysis•10 minutes
Blue ocean strategy•10 minutes
5 assignments•Total 105 minutes
Competitive research and intelligence gathering•15 minutes
SWOT analysis for competitive advantage•15 minutes
Unlocking customer needs•15 minutes
Competitive forces for product strategy•30 minutes
This module will help you understand the exciting world of AI product management. We'll explore the unique challenges and opportunities in this rapidly evolving market. You'll learn how to analyze the competitive landscape, evaluate consumer trust, and navigate the complex regulatory environment. By the end of this module, you'll be well-equipped to tackle the challenges and opportunities of bringing AI products to market.
What's included
4 videos5 readings5 assignments
Show info about module content
4 videos•Total 18 minutes
Navigating the AI product market•4 minutes
AI market dynamics: Understanding the forces at play•4 minutes
AI product competitive analysis•5 minutes
Using Microsoft tools for AI product competitive analysis•4 minutes
5 readings•Total 50 minutes
The AI product lifecycle: From ideation to adoption•10 minutes
The regulatory landscape: Navigating AI compliance•10 minutes
Building consumer trust in AI•10 minutes
AI partnerships and alliances•10 minutes
Data ecosystems: The fuel for AI product development•10 minutes
5 assignments•Total 120 minutes
Navigating the AI product market•15 minutes
AI product market analysis•30 minutes
Competitive and consumer landscape•15 minutes
AI product market dynamics and ecosystem analysis•30 minutes
Activity: A competitive landscape report•30 minutes
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Reviewed on Sep 17, 2025
Excellent course with foundational skills that can be applied to current market evolving landscape!
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