BID Spring 2009, A3: Personalized web experience Nate Colker | Ayan - - PowerPoint PPT Presentation

bid spring 2009 a3 personalized web experience nate
SMART_READER_LITE
LIVE PREVIEW

BID Spring 2009, A3: Personalized web experience Nate Colker | Ayan - - PowerPoint PPT Presentation

BID Spring 2009, A3: Personalized web experience Nate Colker | Ayan Kishore | Varnali Shah problem statement problem statement good teahouses have hundreds of tea varieties good teahouses have hundreds of tea varieties. customers often have a


slide-1
SLIDE 1

BID Spring 2009, A3: Personalized web experience Nate Colker | Ayan Kishore | Varnali Shah

slide-2
SLIDE 2

problem statement problem statement

good teahouses have hundreds of tea varieties good teahouses have hundreds of tea varieties. customers often have a hard time picking a tea. h b i i h l f k l d the tea barista is the sole source of knowledge.

  • ften baristas are busy.
slide-3
SLIDE 3

sneak peek sneak peek

since most tea selection happens in the store the since most tea selection happens in the store, the value of recommendation is in the store and not

  • nline
  • nline.
slide-4
SLIDE 4

user research user research

directed storytelling y g 6 customers, 6 baristas b i k d t b ti brick and mortar observation 20+ tea selection orders, 10 tea-houses competitive analysis teavana, tea forté, adagio teas …

slide-5
SLIDE 5
slide-6
SLIDE 6
slide-7
SLIDE 7
slide-8
SLIDE 8
slide-9
SLIDE 9

design process design process

brainstorming brainstorming analysis and selection l fi i low-fi prototyping analysis and selection hi-fi prototyping review and fix review and fix

slide-10
SLIDE 10

target target

exotic tea is mostly not bought from the web. y g tea-bag recommendation is rarely available. no experimentation at online purchase scale. strata of tea places

  • riental tearooms

teahouses or tea lounges t t d ff h gourmet tea and coffee shops pick-up or quick-stop cafés

slide-11
SLIDE 11
  • bservations on tea selection
  • bservations on tea selection

have their regular g ask barista for recommendation, and barista i d i f interrogates customer to determine one. often involves understanding what the customer liked

  • before. sometimes, customer ends up picking regular
  • before. sometimes, customer ends up picking regular

despite this procedure. experiment, which is largely mood and café atmosphere dependent

slide-12
SLIDE 12

system navigation system navigation

slide-13
SLIDE 13
slide-14
SLIDE 14
slide-15
SLIDE 15
slide-16
SLIDE 16
slide-17
SLIDE 17
slide-18
SLIDE 18
slide-19
SLIDE 19
slide-20
SLIDE 20
slide-21
SLIDE 21
slide-22
SLIDE 22
slide-23
SLIDE 23
slide-24
SLIDE 24
slide-25
SLIDE 25
slide-26
SLIDE 26
slide-27
SLIDE 27
slide-28
SLIDE 28
slide-29
SLIDE 29

interface design considerations interface design considerations

touch screen touch screen experience with barista di f f no account or recording of preferences closely reflect decision making tea culture constructs

slide-30
SLIDE 30

concept validation concept validation

validated with baristas validated with baristas computers are there in tea houses l i h i d tea culture is not hurried DIY tea culture

slide-31
SLIDE 31

Advantages Advantages

explore and learn explore and learn easier way to browse tea catalog d b i b d d i k i reduce barista burden during peak times make up for a lower quality barista get people interested in different teas, & in buying them from the teahouse to take home to brew

slide-32
SLIDE 32

???????????????????????????????????????????????

slide-33
SLIDE 33