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Index
Foreword Introduction
Excuses for Not Doing Research When Do You Do Product Research? Building on Different Research Disciplines
User Research
Generative user research Descriptive user research Evaluative user research
Market Research
Exploratory market research Descriptive market research Causal market research Predictive market research
Product Analytics
Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics
A Set of Rules for Product Research Acknowledgments
1. Prepare to Be Wrong
Ego Is the Enemy of Product Research Different Mindsets in Research
Transactional Mindset: “How Can I Sell This?” Confirmatory Mindset: “Am I Not Right?” Problem-Finding Mindset: “How Can I Improve This?” The Right Mindset, the Insight-Making Mindset: “I Want to Understand”
Steps for Good Insights Summing Up Rules in the Real World: Founders of Zeplin Were Very Wrong Key Takeaways
2. Everyone Is Biased, Including You
What Are Biases?
Types of Researcher Bias
Observer expectancy bias Confirmation bias Attribution errors Group attribution effect
Types of External Bias
Availability bias Biased participant: The know-it-all Biased participant: The existing customer
General Biases
Hawthorne effect (observer bias) Social desirability bias Recall biases
What Can You Do About These Biases?
Take a good look in the mirror Find an independent set of eyes Be on the lookout for bias Watch your conversation style
Assumptions: What Do You Think You Know? Rules in the Real World: SME Interviews Key Takeaways
3. Good Insights Start with a Question
What’s an Insight? It’s Too Easy to Start Research Without a Question
The Vagueness Trap: “Let’s Do a General Check!” The Output Trap: “We Need Personas” The Method Trap: “Should We Do a Survey?”
Going from Hunch to Research Question
From Hunch to Problem From Problem to Research Question
The Usage Perspective
Event Tracking Segments and Cohorts User Voices
The Business Perspective
Your Business Model The Market Operations
The Expertise Perspective
Heuristic Analysis Existing Research
Existing internal research Existing external research
Formulating the Question: Using the QFT Try It Out: Are These Good Research Questions? Rules in the Real World: How One Product Manager Deployed Data Science in Product Research Key Takeaways
4. Plans Make Research Work
Picking a Research Method
Required Skills Versus Available Skills Cost of the Method Cost of Recruitment Try It Out: Pick a Method
Finding Participants
The Easy-to-Reach Audience Trap Considerate Selection: The Screening Process Keeping Track of Participants Finding an Emotional Incentive Going Where Your Users Are Seeking Different Perspectives
Current users Potential users Extreme users
The Dynamic Duo: Researcher and Notetaker Preparing Guides for Your Sessions
Example Field Guide Drafting Your Field Guide
Write down your research question. Brainstorm interview questions. Add notes. Group your questions in themes.
Try It Out: Fixing a Field Guide
Mobile Loan Study Answers
Creating a Communication Plan What If You Can’t Stick to Your Plan? Rules in the Real World: How Can You Tell If People Feel Connected in a Video Call? Key Takeaways
5. Interviews Are a Foundational Skill
Conversation Styles
Four Styles to Avoid, One to Foster
Style 1: Leisurely conversations Style 2: Theatrical conversations Style 3: Interrogative conversations Style 4: Persuasive conversations Style 5: Empathetic conversations
Patterns of Successful Interviews
What Is Interviewing? The Day Of: Preparing for an Interview During the Interview Conducting Interviews Remotely
Tips for Video Interviews Tips for Phone Interviews
Recording Conversations
Structured Note-Taking
Templates Shorthand
Digital Tools
After Each Interview
Debriefing Starting Analysis
Key Takeaways
6. Sometimes a Conversation Is Not Enough
Going Beyond Conversation
Collecting Material Draw It for Me Buy-a-Feature
Card Sorting Field Immersion Diary Studies Usability Studies: This Is Not a Test Rules in the Real World: Rocking the World by Going Beyond Interviews Key Takeaways
7. The Team That Analyzes Together Thrives Together
Analyzing Data in Product Research
Analyze by Playing
Tagging (coding) Affinity diagramming Laddering Reframing matrix
Analyze by Making
Personas Empathy maps Experience mapping Sketches, storyboards, and prototypes
Analyze by Counting
Funnel analysis Cohort analysis Retention analysis Win-loss analysis The value of human interpretation
Rules in the Real World: Doing Collaborative Analysis, Even When You Have an External Agency Key Takeaways
8. Insights Are Best Shared
Presentations: Forget the Long Report, Get Buy-In Narrative Prototypes: Show and Tell
Navigation Personalization Distribution
Managing Feedback
Expressive Feedback Directive Feedback Inquisitive Feedback
Distributing Your Findings More Widely Storing and Archiving Your Research Results Driving Your Audience to Action Key Takeaways
9. Good Research Habits Make Great Products
Build a Habit Cycle Around Research Share Findings Liberally Enable Others to Conduct Product Research Research in Agile Software Development Developing Research Muscles Teams That Made Research a Habit
How a Centralized Team Can Take Responsibility for User Research How Centralized Market Research, User Research, and Multivariate Teams Can Work Together How Researchers Can Make Research a Habit How to Make It Easy to Create Research Questions Across the Organization How to Make an Impact as a Research Team of One
What’s Next?
Index
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