Amazon calculates a product’s star ratings using a machine learned model instead of a raw data average. The machine learned model takes into account factors including: the age of a review, helpfulness votes by customers and whether the reviews are from verified purchases.
Matt Weber's "Fit for Disruption" is a refreshingly easy and practical read. With so much commentary available now about the impacts and need to engage with the current industrial revolution, Fit for Disruption breaks down and provides a common sense framework for how to engage. The emphasis on understanding customer's needs and in essence, co-designing solutions to problems is a reminder that often times businesses rely too much on simply asking a customer what their needs are - funnily sometimes customers don't know. But boldly delving into the different pain points to a customer journey and then prioritising ideas for the solve, as recommended by Weber, is core to business survival. And he gives a valuable message about not needing to reinvent the wheel but rather opening our eyes more widely to all the industries around us, because chances are a solution may already exist in another form. Full of Weber's insights and observations based on his own experiences running operational teams across varied businesses, Fit for Disruption is a great starting to inspire business transformations and improvements for a wide variety of businesses.