Short answer: I learned to do research blending four sources of data-- existing data, qualitative, surveys & AB test results to develop consumer insight about how to delight customers.
Great story! Thanks for sharing. I once had an experience of getting data (user interview + survey) that told us not to proceed with an initiative. CEO wanted to launch it anyway. He was right. The feature was a success. People's discourse is often very different from action. We, humans, are quite irrational indeed.
Hey Gib, this was a great read. Surely learnt a lesson or two about data discovery. I have two questions, and would love for you to answer them. One, how did we establish merchandising metric as the proxy for retention? Did we have correlation data to support this? Second, what were the levers that contributed to the YoY growth of the merchandising metric till 2008, given the hypothesis Movie finding tools improve retention was proved wrong. I look forward to hearing from you :)
Can you provide insight into how you work with product discovery?
Great story! Thanks for sharing. I once had an experience of getting data (user interview + survey) that told us not to proceed with an initiative. CEO wanted to launch it anyway. He was right. The feature was a success. People's discourse is often very different from action. We, humans, are quite irrational indeed.
Hey Gib, this was a great read. Surely learnt a lesson or two about data discovery. I have two questions, and would love for you to answer them. One, how did we establish merchandising metric as the proxy for retention? Did we have correlation data to support this? Second, what were the levers that contributed to the YoY growth of the merchandising metric till 2008, given the hypothesis Movie finding tools improve retention was proved wrong. I look forward to hearing from you :)