Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Data Driven UX Research: Workshop on how to get the best out of Ethnography, Surveys and Online Behavioral Data.

uxindia
October 28, 2019

Data Driven UX Research: Workshop on how to get the best out of Ethnography, Surveys and Online Behavioral Data.

UXINDIA2019: India's biggest international conference on User Experience Design which is being celebrated on Sep 9, 10 & 11 at Novotel HICC, Hyderabad.
www.ux-india.org/uxindia2019
#ux #uxindia #uxindia2019 #designthinking #uxi19 #uxconference #umodesign

uxindia

October 28, 2019
Tweet

More Decks by uxindia

Other Decks in Design

Transcript

  1. View Slide

  2. Data Driven UX
    How to get the best out of Ethnography, Surveys and Online
    Behavioral Data!

    View Slide

  3. Agenda
    [15 min] Introduction 8.30-8.45am
    [15 min] What is mixed method research? 8.45-9am
    [15 min] How to kickstart a data quest within your company? 9-9.30am
    [30 min] How to measure success? Metrics, conversions, sessions, leads etc. 9.30-10.30am
    ------------------------------------------------------Break---------------------------------------------------------
    [15 min] Getting maximum alignment 11-11.15am
    [30 min activity] Case Study 11.15-11.30am
    [30 minute presentation] Create your own story! 11.30-12pm
    [10 minute discussion] Closing comments and Q&A 12-12.05pm

    View Slide

  4. Research and Insights Team
    DBS, Singapore

    View Slide

  5. View Slide

  6. What is Mix Methods research?

    View Slide

  7. View Slide

  8. View Slide

  9. View Slide

  10. SG
    Reason
    Emergency (16.95%) and large
    purchases (Car Purchase, Credit Card
    repayment, Large purchases)
    Where they look to
    Personal Loan (44.1%) and Family
    and Friends (41.2%)
    How they think it’s easiest to
    secure a loan
    79.4% favoured Banks, followed by
    Money Lenders, then Online
    Platforms
    Both have similar motivations, but perceptions/relationships with Money Lenders are much different
    Motivations
    HK
    Reason
    Emergency and large purchases (Car
    Purchase/Credit Card repayment)
    Where they look to
    Borrow from friends and family
    (64.29%), Personal Loan falling far
    behind at 14.29%
    How they think it’s easiest to
    secure a loan
    50% thought Money Lenders would
    be the easiest, followed by Online
    Platforms (35.71%), and finally Banks
    SAME
    UNIQUE
    UNIQUE

    View Slide

  11. Mar 2019
    Digital IPA
    Unmoderated user testing

    View Slide

  12. Test flow
    Questionnaire 1:
    Baseline intent
    Questionnaire 2:
    Landing page
    Questionnaire 3:
    Application form
    Questionnaire 4:
    Dashboard
    Instructions:
    Landing page
    Briefing
    Debriefing
    Instructions:
    Application form
    Instructions:
    Dashboard
    Landing page
    Application form
    Thank you page
    Dashboard

    View Slide

  13. 2 truths and a lie!
    A/B test + Customer Interviews?
    Survey + Customer Interviews?
    Funnel Analysis + Customer Journey Maps?

    View Slide

  14. How to kickstart a dataquest in your company?

    View Slide

  15. Start by asking what do we have?

    View Slide

  16. ● Customer Support
    ● Sales Data
    ● Online Behavioral Data
    ● Design Reviews and Critique Documentation
    ● If not, talk to people, a lot of people and build your own repository

    View Slide

  17. Example

    View Slide

  18. The User Interaction on Travel Insurance Listing Page

    View Slide

  19. Why?
    ● Demonstrate the capability of Analysis with Data Infrastructure
    ● Fulfill our curiosity about our visitors by data storytelling
    ● Encourage sharing of domain knowledge & ideas
    ● Potentially improve our revenue by working together

    View Slide

  20. How do our User purchase Travel Insurance with us?
    Searching
    Use filter to search Check the details and
    compare
    Comparing
    Purchase insurance
    on website/insurance
    provider
    Purchase

    View Slide

  21. Data we used
    - Date: 2018-12-21 to 2019-02-25
    - Organic Sessions
    - Session visited SG TI Listing Page
    - Known bot and internal user excluded

    View Slide

  22. Step I - Apply a filter
    Searching
    Use filter to search Check the details and
    compare
    Comparing
    Purchase insurance
    on website/insurance
    provider
    Purchase

    View Slide

  23. Proportion of Sessions applied a Filter
    Desktop: 54.7%
    Mobile: 45.7%

    View Slide

  24. Step II - Show more detail
    Searching
    Use filter to search Check the details and
    compare
    Comparing
    Purchase insurance
    on website/insurance
    provider
    Purchase

    View Slide

  25. Proportion of sessions clicked show more detail
    Desktop : 32.1%
    Mobile: 28.4%
    Desktop : 12.2%
    Mobile: 10.6%

    View Slide

  26. View Slide

  27. How do we design
    powerful and valuable
    experiences?
    True partnership between teams:
    business, UX team, sales, customer
    support etc.
    Thus our sources of defining the
    problem should reflect this cross
    functional mindset.

    View Slide

  28. Tracking Research
    [15 minute activity] How to measure success? Metrics, conversions, sessions, leads etc.

    View Slide

  29. At the end of
    the day
    We are all in the
    business of people!

    View Slide

  30. As a Researcher and Strategist
    My focus has always been to build products and teams that creates true
    value for the customer cliche I know but there just isn’t another way!

    View Slide

  31. View Slide

  32. huh?

    View Slide

  33. Why?

    View Slide

  34. I must RESIST!

    View Slide

  35. View Slide

  36. Design Thinking Framework
    Design Scaling
    Optimize and Evolve
    Design Thinking Design Making

    View Slide

  37. Designing Product Experiences
    Data
    Tech
    Design
    Data
    Tech
    Design

    View Slide

  38. The Prep

    View Slide

  39. Step 1: What matters
    to Business?

    View Slide

  40. Step 2: What
    makes customers
    tick?

    View Slide

  41. Step 3: Map

    View Slide

  42. Case Study 1
    ● Survey (Profiling Users), first timer vs power users/single vs repeat users
    ● Prototype Testing, what is desirable?
    ● Customer Journey Mapping, powerful design objects

    View Slide

  43. View Slide

  44. View Slide

  45. View Slide

  46. Case Study 2

    View Slide

  47. So what did
    we learn?

    View Slide

  48. Documentation
    ● Storytime!
    ● Reports
    ● Slide Decks
    ● Slack Updates
    ● Team OKR’s

    View Slide

  49. View Slide

  50. View Slide

  51. View Slide

  52. View Slide

  53. Track whatever you can!
    ● Numbers
    ● Stakeholder Reviews
    ● Process Improvements
    ● Conversion/Sessions/leads
    ● You own them as much as others!

    View Slide

  54. View Slide

  55. Socialise
    ● Present
    ● Champion
    ● Reiterate
    ● Give Shoutouts
    ● Workshops
    ● Retrospectives

    View Slide

  56. Pressure Testing
    ● Data Driven Approach - Keep on Validating!
    ● Rinse-Repeat-Analyze

    View Slide

  57. DTSP

    View Slide

  58. View Slide

  59. $

    View Slide

  60. $

    View Slide

  61. $

    View Slide

  62. $

    View Slide

  63. Case Study - Breakout Session
    [30 minute presentation/activity]

    View Slide

  64. Case: TripAdvisor believes its next $1B business is Experiences (formerly Attractions). The site
    offers travelers the ability to plan and book their tours, city passes, attractions, and other
    things to do when they travel right on the site.
    Deliverable:
    Please pull together an internal press release (product).

    View Slide

  65. Amazon’s Working Backwards
    "Iterating on a press release is a lot quicker and less expensive than iterating on
    the product itself ."

    View Slide

  66. Step 1: Go to TripAdvisor.com
    Step 2: Pick a city that you might be traveling to and go through the
    “things to do” experience as if you are/were planning and booking an
    Experience in that city.
    Provide an assessment:
    a. what is working well? what could be better in the user experience?
    b. what are the implications for customers?
    c. how you might optimize the user experience?
    Identify what type of data that would help you with each of the
    following questions.

    View Slide

  67. PR Format


    “Previously customers have…..”

    “This is what we have done….”

    Key Customer FAQs Key Stakeholder FAQs
    1.
    1.
    2. 2.
    3. 3.

    View Slide

  68. Press Release Time!

    View Slide

  69. Thanks

    View Slide