Unleashing the power of UX analytics proven techniques and strategies for uncovering user insights to deliver a delightful user experience

Optimize UX analytics for your design workflow and discover effective techniques and strategies to craft unforgettable, impactful user experiences Purchase of the print or Kindle book includes a free PDF eBook Key Features Enhance your understanding of qualitative and quantitative analysis for succe...

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Detalles Bibliográficos
Otros Autores: Hendrickson, Jeffrey Charles, author (author), Wissink, Travis, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing [2023]
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009764838906719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credits
  • Dedications
  • Foreword
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Introduction to UX Analytics
  • Chapter 1: Understanding the Fundamentals of User Experience
  • Getting familiar with UX
  • Busting the myths about UX
  • Understanding the differences between UI and UX
  • Who does UX?
  • Understanding the functioning of a UX Team
  • Summary
  • Chapter 2: Just What Do We Mean by Analytics?
  • What UX analytics entails
  • Quantitative metrics example
  • A qualitative metrics example
  • Understanding the impact of analytics on successful UX projects
  • Exploring the common types of metrics
  • Quantitative
  • Qualitative
  • Quantitative versus qualitative metrics
  • Summary
  • Chapter 3: Using Analytics Effectively for Successful UX Projects
  • Knowing the goal before getting started
  • Understanding how analytics is like a roadmap
  • Mastering quantitative and qualitative analytics
  • Doing the readout - showing stakeholders the findings
  • Using visuals is better
  • Using a story structure to explain data
  • Being succinct and not verbose
  • Being prepared to back up everything with more data
  • Involving design, development, and engineering teams
  • Summary
  • Chapter 4: Achieving Success through a Repeatable Process
  • Discovering the power of a repeatable process
  • People and roles
  • Data
  • Tools and applications
  • Processes
  • Understanding how people think
  • Laying the groundwork - the importance of a strong foundation
  • Documenting it all
  • Summary
  • Part 2: Goals
  • Chapter 5: North Star Statement - Your Greenlit Marching Orders
  • The North Star statement writing formula
  • Segment definitions for CPR
  • Implementing a logical CPR process
  • Testing the statement for feasibility
  • The need for iteration with research
  • Summary.
  • Chapter 6: Change Management: It's Not Just about the Systems, It's about the People
  • Understanding the hard truths
  • Change management and mental models - stakeholders
  • Change management and mental models - individual contributors and users
  • Taking baby steps to finish strong
  • Designing a solid rollout plan
  • Evangelizing the benefits
  • Understanding who else the change will affect
  • Summary
  • Part 3: Research
  • Chapter 7: Design Thinking: Understanding the Core Problem-Solving Tool in a UX Practice
  • Exploring the core processes of design thinking
  • Setting the scenario
  • The team facilitator
  • The primary interviewer
  • Attributes of successful interviews
  • The role of the core team members during iteration
  • A real-world example of design thinking
  • Mastering the fundamentals of discovery session facilitation
  • Tone matters
  • Time-keeping for focus
  • Summary
  • Chapter 8: Interviews and Personas - Best Practices for Quick and Efficient User Understanding
  • Getting comfortable with an interview protocol
  • Dissecting the stakeholder interview and persona
  • The stakeholder interview
  • The stakeholder persona
  • Grasping the user interviews and personas
  • The user interviews
  • The user personas
  • The importance of interviewing one person at a time
  • Sometimes things don't work out as planned
  • Summary
  • Chapter 9: Surveys - A High-Level, Broad-Stroke Tool for Quick Direction
  • Defining your audience
  • Knockout questions
  • Writing and rewriting the questions
  • Writing opening-level questions
  • Refining and rewriting the questions
  • Gathering and synthesizing the resulting data
  • If statistical significance is required
  • Summary
  • Chapter 10: UX Metrics - The Story of Operational Measurement
  • Quick review of quantitative and qualitative metrics.
  • Quantitative metrics - counting things and inferring quality
  • Visualizing research results for maximum influence
  • Donut charts for capturing qualitative metrics
  • Utilizing 'why' and 'how' in managerial decision-making
  • Using basic math to pivot to qualitative metrics
  • Summary
  • Chapter 11: Live by Your Data, Die by Your Data
  • Data - the beating heart of business
  • Understanding and utilizing taxonomy
  • Getting a sense of the scope
  • Scoping breadth and depth
  • Finding database information
  • Finding out what matters
  • Understanding how your stakeholders want to see data
  • Visualizing the KPIs for quick decision-making
  • Investigating gaps and missing data
  • Finding and fixing data problems
  • Summary
  • Chapter 12: The Tools It Takes to Gather and Consolidate Information
  • A brief overview of UX analytics tools
  • Evaluating and selecting tools
  • Determining what is best for your needs
  • Quantifying findings for reports
  • Quantitative data scenario for an application
  • Summary
  • Part 4: Strategy
  • Chapter 13: Digital Transformation - An Enterprise Use of UX Analytics
  • The need for digital transformation
  • Rolling out a digital transformation effort
  • How UX analytics supports the plan
  • Monitoring and evaluating user data
  • Statistics on user expectations
  • Continuous monitoring for early problem detection
  • The leadership team
  • If you're on the leadership team
  • Managing up
  • Working with your teams
  • Breaking down silos
  • Working with your peers
  • Supporting your leadership team
  • Being a supportive teammate
  • Unlocking the relationships between the roles
  • Tackling the need for new/additional changes
  • Summary
  • Chapter 14: Content Strategy and Analysis - an Analytics-Based, User-Centric Approach
  • Understanding the difference between content and data
  • Content performance analysis.
  • Using a taxonomy to understand content structure
  • Exploring a few taxonomy tools
  • Utilizing your analytics work for content strategy
  • Summarizing your research work
  • Writing a current-state content story
  • Summary
  • Part 5: Tactics
  • Chapter 15: Deliverables - You Wrapped the Research, Now What Do You Present?
  • Importance of standardizing deliverables
  • The art and science of designing insightful standardized reports
  • Delving into parts that can be flexible but not compromised
  • Mastering the research readout
  • Tone and eye contact
  • Summary
  • Chapter 16: Data Visualization - the Power of Visuals to Help with Cognition and Decisions
  • Data visualization for quick insights
  • Understanding basic data visualization types
  • Static versus interactive visualizations
  • Static visualizations
  • Interactive visualizations
  • Understanding levels of detail
  • Moving toward predictive and prescriptive analysis
  • Predictive analysis
  • When you don't have data scientists at your disposal
  • Prescriptive analysis
  • Summary
  • Chapter 17: Heuristics - How We Measure Application Usability
  • Getting to know application heuristics
  • Exploring the Nielsen Norman Usability Heuristics Platform
  • Visibility of system status
  • Match between the system and the real world
  • User control and freedom
  • Consistency and standards
  • Error prevention
  • Recognition rather than recall
  • Flexibility and efficiency of use
  • Aesthetic and minimalist design
  • Help users recognize, diagnose, and recover from errors
  • Help and documentation
  • Making use of other types of evaluation
  • Cognitive walk-through
  • Feature inspection
  • Pluralistic walk-through
  • Cognitive dimensions framework
  • Wrapping up
  • Summary
  • In conclusion and thanks
  • Index
  • Other Books You May Enjoy.