Developed for Target’s Retail App Accelerator, A/B aggregates friends’ advice into a binary choice.
The A/B app by David Chu was developed for Target’s Retail App Accelerator program and lets your friends input their opinions on your purchases.
We’ve all had a shopping crisis: should I buy the Mr. Coffee coffee maker or the Cuisinart one? Should I get this red dress or that pink one? And it seems impossible to personally ask every single friend and then utilize all of their feedback to make an informed decision. But the A/B app makes it easy to connect with your friends and aggregate a good deal of shopping advice. The app simplifies long and confusing purchase decisions by making it into a binary choice situation so you can reach a decision quicker. The feedback can be a combination of vote and comment based so you get a good range of advice.
The app is also streamlined in such a way that you can delimit the feedback to a particular good that you are most conflicted about and in need of advice. For example, you won’t have people advising you buy an iPad when you’re soliciting advice about flat screen televisions.
The ingenuity of A/B lies in that it can be applied to a wide range of product purchases, especially expensive electronic goods that people are most conflicted about. The app also allows you to brag about a purchase in a more subtler manner than a Facebook status update. The app’s interface so far is beautifully simple and uncluttered.
The judges of the Target competition responded enthusiastically to Chu’s app but it’s still a finalist and is competing against six other apps that vie for the $75,000 buyout grand prize. The winner is set to be announced on June 27th at Target’s HQ in Minneapolis.