Beneath the Surface: The Impact of Data on UX
1 like119 views
The document discusses the impact of data on user experience (UX) within the context of microservices architecture, emphasizing the need for flexibility and scalability in database design. It highlights the importance of iterative design and understanding data science to enhance UX, utilizing concepts like recommender systems and analytics. Key takeaways include the complexity of microservices and the necessity of designing with user-centric data models for better product development.
Beneath the Surface: The Impact of Data on UX
- 1. BENEATH THE SURFACE IMPACT OF DATA ON UX Big Design Conference 2017 Alexander Sicular @siculars Alyssa Gruen @alyssa_g
- 2. AGENDA • Data: Why • Key Concepts • Microservices • Database • Data Science
- 3. DO YOU BELIEVE IN MAGIC?
- 4. WHAT THEY SAID TECHNICAL CONSTRAINTS & CAPABILITIES Developers Designers
- 5. WHAT THEY SAID NEED FOR UNDERSTANDING Designers Developers
- 6. WHAT THEY SAID PERCEPTION OF UNDERSTANDING Designers Developers
- 7. CAN I GET SOME (MICRO)SERVICE AROUND HERE?
- 8. KEY CONCEPT MICROSERVICES ARCHITECTURE Interoperable Well Defined APIs Modular Decoupled A method for architecting large applications by loosely connecting smaller self-contained components.
- 9. RETAIL APPLICATION THE MONOLITH Payment Processing Session Management Shopping Cart Returns Product Catalogue User Profiles Inventory Authentication Reports Checkout Message Queue
- 10. The most damaging phrase in language is ‘It’s always been done that way.’” - Grace Hopper
- 11. RETAIL APPLICATION MICROSERVICES ARCHITECTURE Payment Processing Session Management Shopping Cart Returns Product Catalogue User Profiles Inventory Authentication Reports Checkout Message Queue
- 12. ENABLING TECH MICROSERVICES ARCHITECTURE GET /statuses/show/:id https://dev.twitter.com/rest/ reference/get/statuses/show/id POST /statuses/update https://dev.twitter.com/rest/ reference/post/statuses/update
- 20. CHALLENGES MICROSERVICES ARCHITECTURE 1. Increased Complexity 2.Location Services 3.More Surface Area
- 21. Share your designs early and often. UX KEY TAKEAWAYS MICROSERVICES ARCHITECTURE
- 22. Microservice architecture lends itself to iterative ux design. UX KEY TAKEAWAYS MICROSERVICES ARCHITECTURE
- 25. Transactional Expressive query language Rigid, relational, normalized data model Limited availability and scalability MAJOR TYPES DATABASE 1. Relational 2. Non-Relational Legacy Emerging Non - Transactional Limited query language Flexible, non-relational, de- normalized data model High availability and scalability
- 28. Know thy database. UX KEY TAKEAWAYS DATABASE
- 29. Flexible data models (non- relational) support iterative design and development. UX KEY TAKEAWAYS DATABASE
- 30. Legacy products that are info-centric, rather than user-centric often depend on a normalized data- model (relational). UX KEY TAKEAWAYS DATABASE
- 31. Include a scheduled maintenance user story in your design if the product uses a relational database. UX KEY TAKEAWAYS DATABASE
- 33. KEY CONCEPT DATA SCIENCE Machine Learning Recommender System Analytics
- 34. CANONICAL DATA SCIENCE VENNY’D DATA SCIENCE
- 35. AND ANOTHER ONE DATA SCIENCE http://www.prooffreader.com/2016/09/battle-of-data-science-venn-diagrams.html
- 36. MACHINE LEARNING: RECOMMENDER SYSTEM DATA SCIENCE
- 37. MACHINE LEARNING: RECOMMENDER ENGINES DATA SCIENCE
- 38. AMAZON: IF YOU LIKE THIS THEN YOU’LL LIKE THAT DATA SCIENCE
- 39. User “Likes” something Group based on content/product similarity Ex. Songs, movies, books MODEL TYPES RECOMMENDER SYSTEMS 1. CONTENT 2. COLLABORATIVE User activity comparisons Group Based on vast amounts of data Ex. Likes, search history, purchase history, AB testing
- 40. CONTENT MODEL V. COLLABORATIVE MODEL RECOMMENDATION ENGINE Content Collaborative
- 41. Recommender Systems streamline information architecture. UX KEY TAKEAWAYS DATA SCIENCE
- 42. User Interface abstracts the complexity of data science. UX KEY TAKEAWAYS DATA SCIENCE
- 43. User experience professionals define metrics that matter to users. UX KEY TAKEAWAYS DATA SCIENCE
- 44. It takes a village. UX KEY TAKEAWAYS DATA SCIENCE
- 45. Our technology, our machines, is part of our humanity. We created them to extend ourselves, and that is what is unique about human beings. - Ray Kurtzweil
- 46. THANK YOU! Alexander Sicular @siculars Alyssa Gruen @alyssa_g