You have a research team. You sit in meetings. Your team is developing a healthy research repertoire, including usability testing sessions, stakeholders interviews, expert reviews, and even manage to cram in the occasional remote testing project. Things are looking good.
You have a ton of insights coming in and the project teams are committed to applying the learnings in upcoming releases. But well-meaning stakeholders POs and PMs are still chasing quarterly objectives and you get the feeling the team is treading water and not advancing any real knowledge. Insights are unstructured, and it seems like you are running the same tests without developing any new major insights.
The Wall of User Knowledge is upon you and you feel you haven’t even scraped its surface. How can your research become predictive rather than reactive? How can you model user behaviour and build your insights into a company-wide tool? In a nutshell, how do you move from tactical to strategic?
This talk will focus on showcasing UX research transformation by showing different methods and tools to systematise insights and user knowledge into cohesive customer stories linked to experience streams. From note taking to advanced coding, from creating basic reference reports to developing a complete research framework, this talk will focus on the methods and structures that go into achieving a research delivery and modelling frame that can frame real user knowledge as a team narrative.
Presented by Alberto Ferreira
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6. !
Profiting (and by extent,
surviving) is the ultimate goal of a
company.
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7. But goals are not a strategy. And
they are definitely not a vision.
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20. Research
Workstreams
!
Discovery and Ideation
What to do next?
!
Design Validation
Test what has been built.
!
Customer Knowledge
Understand users better.
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21. Research Workstreams
!
Discovery and Ideation
→ Project Types:
Find behavioural triggers, new features,
product ideas
→ Methodologies:
Field study, diary study, user interviews,
workshops, focus groups
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22. Research Workstreams
!
Design Validation
→ Project Types:
Prototype feedback, site/app testing, IA
→ Methodologies:
User testing, competitive analysis,
analytics
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23. Research Workstreams
!
Customer Knowledge
→ Project Types:
Customer journey, segmentation, market
analysis
→ Methodologies:
Surveys, user interviews, workshops,
analytics
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26. 3. Storing and
Sharing
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27. "The report is in progress..."
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28. Reports have a
limited shelf-life
and are inflexible.
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29. Avoid locking
knowledge into
reports. Make it
granular, make it
flexible.
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30. Assess your target audience.
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32. Prioritisation
Insights are evaluated by stakeholders in
conjunction with UX research.
Prioritisation follows the product roadmap.
Further analysis or research may be requested.
Research has separate roadmap.
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33. How to Share Insights
System Pros Cons
Powerpoint Good design and export Poor findability
Google Slides Excellent for
collaboration
Poor findability
JIRA Good findability Overhead for data input,
poor export, limited for
presentations
Confluence Excellent for project
documentation
Very limited filtering
features
Evernote Good collaboration, low
barrier
No design possibilities,
low findability
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34. We needed a relational database
to cross-relate insights.
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37. Insight/Nugget Chunking
⚠
Recommendation
Changes to be addressed and evaluated.
ℹ
Observation
Positives and negatives that do not necessarily
warrant action.
!
Customer Knowledge
Qualitative information on segments, patterns of
use, habits.
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38. Insight Structure
Insight Title
→ Insight Description
→ Insight Category
→ Study Title
→ Nugget Type
→ Platform
→ User Impact
→ Flow Point (if applicable)
→ Quotes
→ Attachments
→ Themes
→ Related Insights
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39. Active Testing
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40. Active Testing
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41. Mapping Insights
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42. 4. Workflow: Fitting Everything In
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44. Share often. Share early.
Build understanding until you go
into debrief mode.
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45. Measuring and Testing
→ A/B Testing
→ Conversion Metrics
→ User Surveys (in-page, C-
Sat, and NPS)
→ Sentiment analysis
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47. Define metrics
based on the user.
Avoid the
conversion dogma.
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49. Research without consequence
and engagement is stillborn.
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51. Be careful about attaching ROI to
research.
Use quantitative + qualitative metrics.
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52. User research is a project activity,
not just a department or team.
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53. Research is not a science.
It's a method to reduce risk.
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54. Define your own research
framework based on the
company's goals and needs.
And have a clear communication
strategy.
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