دانلود کتاب Unleashing the Power of UX Analytics: Proven techniques and strategies for uncovering user insights [Team-IRA] [True PDF]

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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
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