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Designing with data : improving the user experience with A/B testing / Rochelle King, Elizabeth F. Churchill & Caitlin Tan.

By: King, Rochelle [autor.]Contributor(s): Churchill, Elizabeth F [autor] | Tan, Caitlin [autor]Material type: TextTextLanguage: inglés Publisher: Sebastopol, CA : O'Reilly Media, 2017Copyright date: ©2017Edition: First editionDescription: xxvii, 337 páginas : ilustraciones, gráficas ; 23 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781449334833; 9781449334963Other title: Improving the user experience with A/B testingSubject(s): Diseño de sistemas centrado en el usuario | Análisis de sistemas | Comparaciones pareadas (Estadística) | Adm_Innovación | Adm_Innovacción_Desarrollo de nuevos productosDDC classification: 005.019 Online resources: Recurso digital
Contents:
Disponible en Ebsco Ebooks.
Chapter 1. Introducing a data mindset ; 2. The ABCs of using data ; Chapter 3. A framework for fxperimentation ; Chapter 4. The definition phase (how to frame your experiments) ; Chapter 5. The execution phase (how to put your experiments into action) ; Chapter 6. The analysis phase (getting answers from your experiments) ; Chapter 7. Creating the right environment for data-aware design ; Conclusion. Ethical considerations ; Last words.
Scope and content: On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data.This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts.
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Includes index.

Disponible en Ebsco Ebooks.

Chapter 1. Introducing a data mindset ; 2. The ABCs of using data ; Chapter 3. A framework for fxperimentation ; Chapter 4. The definition phase (how to frame your experiments) ; Chapter 5. The execution phase (how to put your experiments into action) ; Chapter 6. The analysis phase (getting answers from your experiments) ; Chapter 7. Creating the right environment for data-aware design ; Conclusion. Ethical considerations ; Last words.

On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data.This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts.

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