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Data driven development (Analytics (User testing (Real and session…
Data driven development
Analytics
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To reduce bias, data should be broader not bigger - more sources the broader the audience of influencers
Identification of Qualitative data in addition to the quantitative - essentially the identification of the why in addition to the who, what, when and where.
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FED
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Improving
Using data to improve often means the data-informaed equivalent of iteration - tracking across time and across versions or even against competitors
Discovering
Using data to discover is about looking at data in relation to other data (big or broad) to explore patterns and trends
Data is about experience, its backward looking, experience isn't a funnel and should come from a thick/broad spectrum of sources
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