UX techniques for customer development and making sense of qualitative data
Making Sense of Qualitative Data
description
Transcript of Making Sense of Qualitative Data
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Making Sense of Qualitative Data
JOMC 279Paint Data
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Quantitative Results
• Correlations• Scale Scores• Counts/Percentages
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Correlations
Familiarity Quality Value
Familiarity 1.00 0.66 0.49
Quality -- 1.00 0.54
Value -- -- 1.00
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Student Stores 1
Quantitative Data
Qualitative Data
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Content Analysis: Emergent Coding Exercise
Question = “Why did you choose that particular place to shop for paint?”
• What categories do you think might show up? (a priori)
• What categories emerge? (emergent)
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342 words35 color26 messy17 tape16 brush15 paint12 hard10 time9 fun8 creative7 roller6 blue
6 move6 smell5 difficult5 long5 lowes home improvement5 tedious4 daunting4 exciting4 home depot4 tired4 wall
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bi-grams (3+)
9 color_brush7 tape_paint6 messy_fun6 tape_brush5 color_messy5 color_paint5 brush_paint4 color_tape4 messy_hard4 tape_roller
4 brush_roller3 color_decorate3 color_move3 color_smell3 color_time3 messy_creative3 tape_blue3 fun_creative3 paint_roller
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color
brush
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color
paint
tape
brush
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color
messy
paint
tape
brush
fun
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color
messy
paint
tape
brush
fun
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color
messy
paint
tape
brush
roller
hardfun
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color
messy
paint
tape
brush
decoratemove
smelly
time
roller
bluehard
fun
creative
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Insights from Focus Groups:
Exercise
• Similar• Normally done at transcript level, not
summary level