Design Better Products and Services with Data
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The document discusses the importance of data in the design process, emphasizing the need for designers to utilize both quantitative and qualitative data to make informed decisions. It provides insights into A/B testing, highlighting its limitations, and suggests a structured approach to using data, including research, hypothesis formulation, experimentation, measurement, and analysis. A case study of the Ladies That UX Amsterdam community illustrates how data-driven strategies can foster growth and engagement within user experience groups.
Design Better Products and Services with Data
- 1. D E S I G N B E T T E R P R O D U C T S A N D S E R V I C E S W I T H D ATA Jenny Shen • UXDA Chiang Mai • December 1, 2016
- 2. UX/UI Consultant J E N N Y S H E N Founder of Ladies that UX Amsterdam Digital Nomad since 2013 ✈"✏ @jennyshen 🐦 jennyshen.com 🌏
- 3. @JennyShen B R A N D S I ’ V E W O R K E D W I T H
- 4. @JennyShen A welcoming and collaborative community of women, that aim to push the boundaries and promote women in UX. W I N N E R O F . N E T G R A S S R O O T S E V E N T O F T H E Y E A R 2 0 1 5
- 5. A N D Y O U ? @jennyshen D E V E L O P E R U X / D E S I G N E R M A R K E T I N G / P R O D U C T B U S I N E S S / F O U N D E R
- 6. A N D Y O U ? @jennyshen D E V E L O P E R U X / D E S I G N E R M A R K E T I N G / P R O D U C T B U S I N E S S / F O U N D E R
- 7. A N D Y O U ? @jennyshen D E V E L O P E R U X / D E S I G N E R M A R K E T I N G / P R O D U C T B U S I N E S S / F O U N D E R
- 8. A N D Y O U ? @jennyshen D E V E L O P E R U X / D E S I G N E R M A R K E T I N G / P R O D U C T B U S I N E S S / F O U N D E R
- 9. O N C E U P O N A T I M E … @jennyshen
- 10. • Why designers should embrace data • Quantitative v.s. qualitative data • Why A/B tests alone is not enough • How to use data in design • Case study: Building a UX community with data TA L K O U T L I N E @jennyshen
- 11. W H Y D E S I G N E R S S H O U L D E M B R A C E D ATA @jennyshen
- 12. • You are not the user • Personal opinions don’t matter • Gut feelings can be wrong • Convince stakeholders • Know how your designs perform W H Y D E S I G N E R S S H O U L D E M B R A C E D ATA @jennyshen
- 13. Q U A N T I TAT I V E V. S . Q U A L I TAT I V E @jennyshen
- 14. Q U A N T I TAT I V E D ATA • Numerical • Who, when, what, where @jennyshen
- 15. Q U A N T I TAT I V E D ATA • Conversion rate • Session duration • Bounce rate • Exit rate • Page views @jennyshen
- 16. @jennyshen
- 17. Q U A L I TAT I V E D ATA • Non-numerical • How, why = the user experience @jennyshen
- 18. Q U A L I TAT I V E D ATA • The pains your product/service solve • The ease of use of your product/service • How likely users will recommend your product/service to others • Why users chose your product/service over competitors’ and vice versa @jennyshen
- 19. @jennyshen
- 20. • Usability tests • Customer service tools • Focus groups • Recordings • Interviews • Contextual inquiry @jennyshen
- 21. A method to compare two versions of a web page to see which one performs better A / B T E S T I N G @jennyshen
- 22. @jennyshen
- 23. D I S A D VA N TA G E S O F A / B T E S T S • GA: Can’t set who sees version 1 v.s. who sees version 2, or even how long the test is • Expensive to build • Doesn’t tell you why @jennyshen
- 24. A/B testing can’t tell you if you’re solving the correct problem. “ —Kevin Stone, Senior Product Designer at JUST EAT @jennyshen
- 25. W H E N T O A / B T E S T • Before you roll out a change • When you have a strategic hypothesis of why the alternate version can perform better @jennyshen
- 26. N O T A G O O D H Y P O T H E S I S Let’s use blue for CTA because company ABC uses blue. G O O D H Y P O T H E S I S Based on recorded sessions, users seem to have trouble proceeding with purchase. By moving up the CTA to above cart items, we can increase the conversion rate. @jennyshen
- 27. U S I N G D ATA I N D E S I G N @jennyshen
- 28. • What do you want to find out? • What are your success metrics? S TA RT W I T H A Q U E S T I O N @jennyshen
- 29. Research Hypothesize Experiment Measure Analyze @jennyshen
- 30. C A S E S T U D Y: B U I L D I N G LT U X C O M M U N I T Y @jennyshen
- 31. • Men v.s. women ratio in UX/tech meetups • Diversity research • Other women in tech groups Research Hypothesize Experiment Measure Analyze @jennyshen
- 32. “Other female UXers in Amsterdam also want to meet other female UXers and a safe place to discuss our daily struggles.” Research Hypothesize Experiment Measure Analyze @jennyshen
- 33. • Started LTUX Amsterdam Meetup group • Invited female UXers • Announced in other UX meetups • Hosted 1 meetup per month Research Hypothesize Experiment Measure Analyze @jennyshen
- 34. Research Hypothesize Experiment Measure Analyze • Growth rate • Attendance • Active members • Feedback • Reviews @jennyshen
- 35. Research Hypothesize Experiment Measure Analyze • +2 co-organizers, 2 volunteers • 778 members • 19 group reviews • +60 members per month on Meet-up • +20 members per month on Facebook • +1 city in The Netherlands— LTUX Utrecht @jennyshen
- 36. Research Hypothesize Experiment Measure Analyze • Avg 58 members in talk events • Avg 22 members in workshops • Avg 22 members in social events • Avg 200 active members per month @jennyshen
- 37. Research Hypothesize Experiment Measure Analyze “Always great and relevant topics with speakers from across the UX sector. This group is enthusiastic and very welcoming! Join us! ” —Carmen “A great mix of people from all over the world while also being from different fields. The atmosphere encourages creativity and learning.” —Sherin @jennyshen
- 38. Research Hypothesize Experiment Measure Analyze “Very nice atmosphere, friendly and well organized, these ladies know how to do it, super recommended.” —Mirko “A very nice group of UX professionals who are open to sharing their knowledge in a friendly environment. Great experiences until now. Keep up the good work!” —Anca @jennyshen
- 39. Research Hypothesize Experiment Measure Analyze How much do you agree with: “LTUX Amsterdam is a welcoming community that promotes women in UX” From 1 to 7, we scored 5.94 @jennyshen
- 40. Research Hypothesize Experiment Measure Analyze How much do you agree with: “LTUX Amsterdam is offering a good variety of meetups” From 1 to 7, we scored 5.30 @jennyshen
- 41. Research Hypothesize Experiment Measure Analyze How much do you agree with: “I am a part of the LTUX Amsterdam community” From 1 to 7, we scored 4.32 @jennyshen
- 42. Research Hypothesize Experiment Measure Analyze • Low attendance on Wednesdays • Few speakers attend meetups • How members feel about being a part of the community (4.32/7) can do better • Harder to acquire sponsorships @jennyshen
- 43. “People are busier with work on Wednesdays compared to Thursdays, so they will prioritize other things over a social event, especially when the location is outside of the city centre.” Research Hypothesize Experiment Measure Analyze @jennyshen
- 44. “If we engage members and speakers more and build relationships, they will feel that they are a part of the community. Then they will want to be involved and contribute more.” Research Hypothesize Experiment Measure Analyze @jennyshen
- 45. • Talk with active members in-person • Ask other LTUX cities how they do this Research Hypothesize Experiment Measure Analyze @jennyshen
- 46. “Members who have no speaking experience want to speak, but are intimidated by long presentations on the stage. If we introduce low- barrier speaking opportunities, they are more likely to participate.” Research Hypothesize Experiment Measure Analyze @jennyshen
- 47. • More interactive talks like PechaKucha • Involve members to be speakers • Train members to be speakers • Mentorship program Research Hypothesize Experiment Measure Analyze @jennyshen
- 48. 5 TA K E AWAY S @jennyshen
- 49. • Use data in your design process • Measure qualitative and quantitative data • Base A/B tests on strategic hypothesis • When looking at data, have a question in mind • Research, Hypothesize, Experiment, Measure, Analyze 5 TA K E AWAY S @jennyshen
- 51. S AY H E L L O @jennyshen🐦 jenny@jennyshen.com📧 jennyshen.com🌏
- 52. F E E D B A C K F O R M @jennyshen bit.ly/UXfeedback
- 53. T H A N K S Y ’ A L L ! @jennyshen