In the book ‘The Undoing Project’, the author Michael Lewis dives into the history and work of Daniel Kahneman and Amos Tversky.
Their work in the fields of decision sciences and behavioral economics earned Kahneman a Nobel prize as it helped shape how people think about decision-making under uncertainty (Tversky was deceased when the prize was awarded and Nobel prizes only go to those living otherwise he likely would have been honored alongside his longtime collaborator).
After much clamoring by its users, Twitter has to decided to make it easier to switch to a chronological view of your tweets.
Originally launched this way, the change comes just a few years after Twitter created an algorithm that identifies and provides the user’s ‘most relevant’ tweets first. The change created quite an uproar when it first happened and has been the bane of many users since. Many feel that the chronology is what gave Twitter its benefit and have been demanding this reversion. This Verge.com article from 2016 quotes a user talking about the analytic-based feed:
Getting people to use your product requires more than onboarding, it demands a transition plan.
A New Edge
Tiger Woods is one of the most successful golfers of all time. In his prime, he was able to combine power with accuracy and solid putting to win more money on the PGA tour than any other golfer. He has the 2nd most career wins in the history of the PGA and will likely have the most by the time he retires. He has also won the 2nd most major tournaments (these bring out the best golfers) and still has a chance to claim the most here, too. His list of accomplishments is extensive.
“Confusion and clutter are failures of design, not attributes of information” – Edward Tufte
People throw around the term dataoverload all the time to describe a problem in a product. On the surface, this seems pretty direct. Users have trouble sorting through the data presented to them and routinely make bad decisions. Designers look at the UI, see how much data users are faced with and immediately declare that there was too much data for users to make the correct choice.