How can data be used to design services and engaging user experiences?
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The document discusses how data can be used to design services and create engaging experiences. It provides examples of how open data from various sources like sensors, mobile devices, and government can be utilized. Specifically, it outlines three steps to work with data: 1) find existing open data sources, 2) scrape data from digital channels, and 3) create and publish your own data. The document emphasizes that data should be used not just for visualization but to gain insights, engage users, and optimize experiences across various industries like urban planning, utilities, and education.
How can data be used to design services and engaging user experiences?
- 1. How can DATA be used to design services and to create engaging experiences? Mark Wane @markbwaneInspired by the knowledge transfer from London Fusion’s Services in the City (Open Data) Design Jam 19/03/2014. OpenData thinking and examples from Chris Downs and UCL.
- 2. ”The iconic products of the future won’t be made of plastic, or metal, or glass. They will be made of data.” Chris Downs - Founder of Live|Work
- 3. “Open data is data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.” OpenDefinition.org
- 4. 90% of the data in the world was created in the last two years alone Data comes from ‘everywhere’ - sensors, mobile devices, government to name a few Increasingly geo-located OpenData thinking and examples from Chris Downs and UCL.
- 5. OpenData thinking and examples from Chris Downs and UCL.
- 6. OpenData thinking and examples from Chris Downs and UCL.
- 7. OpenData thinking and examples from Chris Downs and UCL.
- 8. So where would I go to get data?
- 9. 1.0 Find it ‘Open data sources and live feeds exist across various industries’ OpenData thinking and examples from Chris Downs and UCL.
- 10. 1.0 Find it citydashboard.org OpenData thinking and examples from Chris Downs and UCL.
- 11. 2.0 Scrape it ‘Services exist to scrape data from various digital channels’ OpenData thinking and examples from Chris Downs and UCL.
- 12. 2.0 OpenData thinking and examples from Chris Downs and UCL.
- 13. 3.0 Make it ‘Create and publish your own data or develop apps to do this.’ OpenData thinking and examples from Chris Downs and UCL.
- 14. 3.0 OpenData thinking and examples from Chris Downs and UCL.
- 15. Dashboards and infographics allow us to visualise and communicate data easily. OpenData thinking and examples from Chris Downs and UCL.
- 16. Check out our infographics on Pinterest! www.pinterest.com/entropii
- 17. But to design with data is more than just data visualisation INSIGHT ENGAG EMENT OpenData thinking and examples from Chris Downs and UCL.
- 18. Data is used in a variety of services from urban planning, utilities and in enhancing experiences. OpenData thinking and examples from Chris Downs and UCL.
- 19. OpenData thinking and examples from Chris Downs and UCL.
- 20. OpenData thinking and examples from Chris Downs and UCL.
- 21. Utility OpenData thinking and examples from Chris Downs and UCL.
- 22. Utility OpenData thinking and examples from Chris Downs and UCL.
- 23. Data can be used to leverage experiences tailored specifically to the user.
- 24. Netflix used data about the most popular actors, types of show and context to create the award winning House of Cards
- 25. How can I use data to design services with engaging user experiences? ...Perhaps by collaborating at a design jam like one recently hosted by London Fusion.
- 26. Start by thinking about how different industry sectors could use data to, offer new, or enhance existing services. OpenData thinking and examples from Chris Downs and UCL.
- 27. Business, travel, health, education... OpenData thinking and examples from Chris Downs and UCL.OpenData thinking and examples from Chris Downs and UCL.
- 28. Consider how open data can be found, scraped or created to offer a value added service for people. OpenData thinking and examples from Chris Downs and UCL.
- 30. Such as a new City Travel App? Using data to optimise travel journeys, focused not just on speed or cost but experience...
- 32. 1. Use location data and travel feeds to plan routes. 2. Use map data to suggest a scenic walk? 3. Scrape data to suggest attractions on route? 4. Generate data to enhance the experience and share with others...
- 33. Consider the users! People, Personality, Roles, etc Stage 1 Stage 2 User Story, Goals & Objectives Stage 3 Intrinsic/Extrinsic Motivations Persuasion: Rationality, Credibility & Emotion Personas & Contextualisation Stage 4 Stage 5 Identify Organise Motivate Engage CTA
- 34. Map out the service
- 35. Optimise the experience Discovery Experience Crea tion Production Usab ility
- 36. With data comes more data and with that comes more design opportunities... OpenData thinking and examples from Chris Downs and UCL.
- 37. Mark Wane mark@entropii.com | www.entropii.com INSIGHT DESIGN I M PROVEMENT ENGAGEMENT