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- Collecting consumer data
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- External tools: CRM data collection, traffic analysis
- Internal mechanism: feedback collection, booking data, user interview
- Data analysis
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- Sample size determination to segmentize consumer profiles
- Hypothesis testing/interview to breakdown behavior
- Data visualization
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- Chart, illustration, and iconography
Fig.1: Design process
- Supplementary visual
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- Putting the supplementary image to serve the context should deliver the information implicitly.
- This adds a specific meaning to the contents conclusively.
- This is an effective visualization method for the qualitative data.
- e.g., two different background images on two groups of keywords cloud (Fig.3, 4)
Fig.2: Keywords cloud sketch
Fig.3: Personality keywords - emotional
Fig.4: Personality keywords - rational
- Data visualization
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- This method would serve quantitative data well.
- If the data represents a specific number, the chart will serve the purpose. e.g., a pie chart - Fig.6
- If the data represents a trend, visual could be more contextual. e.g., social media usage - Fig.7
Fig.5: Data visualization sketch
Fig.6: Example of data presentation i
Fig.7: Example of data presentation ii
- 4 primary personas, 3 secondary personas, and 1 persona of potential consumer
- Printed and presented by hanging on all meeting areas
- Evangelize the whole team to specify persona in the product-related conversation
Fig.8: broke college student
Fig.9: Happy retired couple
Fig.10: Veteran concierge
Fig.11: Young-super mom
Fig.12: Outdated shopper
Fig.13: Super organized recruiter
Fig.14: Web-savvy accountant
Fig.15: Military husband
- Visual design
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- Directing overall visual concept and layout of the persona poster
- Curating and visualizing information to present consistently and intuitively
- Setting the color code strategy for segmentation
- UX research
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- Collaborating with UX researcher analyzing consumer data
- Collaborating with UX researcher searching internal data collection