
Market and User Research Operations
Operationalize Customer Research for Scale and Impact
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Market and User Research Operations
Operationalize Customer Research for Scale and Impact
About this book
Looking to boost your research team's impact while cutting down on administrative overload?
Market and User Research Operations is a practical, detailed guide designed for mid-career research managers and professionals aiming to optimize processes and deliver consistent, high-quality insights. As customer expectations rise, this book helps you build credibility by applying proven strategies and frameworks that scale your research function effectively.
You'll learn how to:
- Develop repeatable, reusable insights using proven operational principles
- Implement governance and planning models for on-time, on-budget delivery
- Select and optimize tools and platforms tailored to your team's needs
- Manage participant recruitment ethically and efficiently
- Apply AI and democratize research to meet evolving business demands
Filled with real-world examples and actionable tools, this book empowers you to streamline workflows, improve research quality and create greater business value.
Themes include: Research operations, process optimization, AI in research, Governance, stakeholder value
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Information
Table of contents
- List of figures and tables
- About the author
- Preface
- Acknowledgements
- List of contributors
- PART ONE Managing infrastructure and the research process
- 1 Defining research operations
- 2 Laying the foundations for successful research processes and practices
- 3 Data compliance in research operations
- 4 How to recruit participants: Models for best practice
- 5 How to manage data, information and knowledge
- 6 Supporting and managing the research process
- PART TWO People
- 7 Recruiting researchers
- 8 Recruiting the research operations team
- 9 Supporting research and operations learning and development to deliver effectively
- PART THREE Advanced operations
- 10 How to use AI as part of the research process
- 11 Metrics for research and research operations
- 12 How to adapt to changing needs and requirements
- Concluding thoughts
- Index