We explore the stories behind "Productive Analytics" apps in season one.
Productive Analytics = data + decisions connected in the same product by design
Look at these examples:
In Skyscanner's "Month Chart", users see prices by day and make a decision when to fly using the graph. The perfect example of Productive Analytics.
Peloton's leaderboard is effective for both competition and community support. The position of your Personal Record is a clever real-time framing device: beat your record and it moves below you. Subtle but effective!
Learn more about why this is so effective by subscribing to the show.
Uber's UX research team is leading the way with extensive research programs. Large scale studies informed features like surge pricing and more recently "Uber Pro" - their driver Rewards program.
Hear from UX researchers at Uber on the show - subscribe now for updates.
The science of nudges and the psychology of framing effects are at work in the latest wearable tech. The effectiveness of the design choices in FitBit and Apple Watch hardware is no accident.
If you want to know more about how these devices know what makes YOU tick, subscribe to the Product Stories Podcast now.
There are studies showing how Design can change the way people perceive risk and value. Ultimately, that means the design of a chart alone can influence stock trading!
To understand the role design plays in financial decision-making, subscribe to the show
There's much more to it, but underneath all these products is the same basic process: Data is made visual and decoded by our eyes and our mind.
It's not a perfectly accurate system - our eyes can trick us and our minds can be systematically biased.
This is why these Product Stories are so interesting.
Did you design or manage a product that people use to make decisions about their health, finances, business or anything else?
Do you have specialist knowledge of visual analytics, behavioural science, or decision making?
Get in touch today, we want to hear from:
Brought to you by The Product of Everyday Things.
I've worked in the tech industry for several years as a Product Manager, so I know what goes into the discovery, design, and delivery of it all.
There's always a story to tell about how products are made, plus every company is different. I've seen first-hand how design + data can change peoples' behaviour for the better. The podcast will really be the first to pull that curtain back and celebrate the work of all these great people.
We also have several academics and authors providing a different perspective on behaviour, statistics and design that helps to make the show feel more balanced.
The concept for the show came out of a book idea I was researching. That book idea actually evolved out of my own published PhD research into Visual Analytics and Behavioural Economics.
We are on a journey, trying to make a great show. We want to share our excitement with you and let you about new guests and insights along the way.