Name: Designing with Data: Improving the User Experience with A/B Testing (en Inglés)
Price: 43140.00 CLP
Availability: InStock
Author: King, Rochelle ; Churchill, Elizabeth F. ; Tan, Caitlin
ISBN: 9781449334833

portada Designing with Data: Improving the User Experience with A/B Testing (en Inglés)

Formato

Libro Físico

Autor

Elizabeth F. Churchill

Rochelle King

Caitlin Tan

Editorial

O'Reilly Media

Idioma

Inglés

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.0 x 1.8 cm

Peso

0.50 kg.

ISBN13

9781449334833

Categorías

Programación web
Diseño de interfaces de usuario y usabilidad

Designing with Data: Improving the User Experience with A/B Testing (en Inglés)

Elizabeth F. Churchill (Autor) · Rochelle King (Autor) · Caitlin Tan (Autor) · O'Reilly Media · Tapa Blanda

Libro Nuevo

$ 43.140

$ 71.900

Ahorras: $ 28.760

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 10 de Mayo y el Martes 21 de Mayo.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Designing with Data: Improving the User Experience with A/B Testing (en Inglés)"

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. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow.Understand the relationship between data, business, and designGet a firm grounding in data, data types, and components of A/B testingUse an experimentation framework to define opportunities, formulate hypotheses, and test different optionsCreate hypotheses that connect to key metrics and business goalsDesign proposed solutions for hypotheses that are most promisingInterpret the results of an A/B test and determine your next move