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Silos: good for grain, awful for understanding customer behavior. Just as we favor the research tools that we find familiar and comfortable, large organizations often use research methods that reflect their own internal selection biases. As a result, they miss out on detecting (and confirming) interesting patterns that emerge concurrently from different research silos. And they likely won’t learn something new and important. IA thought leader Lou Rosenfeld explains how balance, cadence, conversation, and perspective provide a framework enabling your research teams to think across silos and achieve powerful insights even senior leadership can understand.
Top-down analytics are great for creating measurable goals you can use to benchmark and evaluate the performance of your content and designs. But bottom-up analysis teaches you something new and unexpected about your customers, something goal-driven analysis can’t show you. Discover the kinds of information users want, and identify your site’s most urgent mistakes.