Könyv Usability and User Experience Design Michaela Kauer-Franz

Usability and User Experience Design

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: 50 % esély
Keressük az egész világon
22 264 Ft
Calling all designers and developers! This is your all-in-one guide to data-driven UX design for dig...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
737
EAN
9781493224968
ISBN
1493224964
Enbook ID
44306522
Súly
1058

Teljes leírás

Calling all designers and developers! This is your all-in-one guide to data-driven UX design for digital products. See how an effective user experience incorporates insights from psychology, design principles, and practical data. Follow a proven approach for selecting your design methods, and then walk through the data-driven UX design process in detail: analyze the context of use, specify requirements, develop solution prototypes, and test your products. Learn from example case studies and full-color illustrations to take your design to the next level!

In this book, you'll learn about:

a. Theory of Design
What makes design effective? Get to know the building blocks that create an incredible user experience: ergonomics and usability, data evaluation, user research, human information processing, design principles, and more.

b. UX Design Process
Master data-driven UX design. Explore methods to analyze the context of use for your design project. Use techniques such as prototypes and wireframes to develop a design solution, and then refine it through usability and UX testing.

c. Design in Action
See examples of design come to life! Follow three case studies that illustrate the design process for digital products: a B2C mobility application, a B2B customer relationship management application, and a B2C/B2B medical appointment portal.

Highlights include:

1) Data-driven UX design
2) B2B and B2C applications
3) User researcher skills
4) Psychological foundations
5) Design principles
6) Context of use analysis
7) Requirements formulation
8) Prototypes and wireframes
9) Design testing and evaluation
10) Decision matrices
11) Use cases

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