Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
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
← Prev
Back
Next →
← Prev
Back
Next →