Ever feel like you want to throw your phone across the room? No? Just us? 😳
If you’re like us (constantly fighting distraction), this might explain why. 🧵
People receive an average of 60-80 daily notifications on their phones.
While notifications have become a standard part of our lives, a constant barrage of information is also linked to ⬆️ anxiety, depression, and attention disorders.
Too many notifications make us feel tired, alter our perception of time, and harm our decision-making abilities! Why?
Notifications increase our #CognitiveOverload (the amount of information processed by the working memory).
In a recent study, 188 undergraduates did a survey while getting texts.
Students who got more texts interrupting their task experienced ⬆️ levels of impulsivity, inattention, and stress than those who got fewer texts. The science suggests notifications ruin your concentration.
Can we do better? Enter #Neuroergonomics, a collection of tactics and systems intended to relieve cognitive burden.
Some are behavioral (like spreading chores out through the week); some are designed (like batching notifications).
Batching smartphone notifications is especially helpful.
In a 2019 study, participants in three conditions received their notifications three times a day, hourly, or none at all. One group experienced more benefits than the other two.
The group that received normal notifications felt distracted.
The notification-free subjects experienced more anxiety and #FOMO.
The participants that received three daily 'batches' felt more productive, attentive, in a better mood, and in greater control of their phones.
Many UX researchers believe that more holistic #design is possible. We agree.
Developers should pay attention to how people interact with their devices—and align their products with actual user values and sustainable #engagement.
We think tech designers AND users have agency here. The key is good #BehavioralDesign.
Hop in, we're designing for human behavior! 🚗 We decreased auto loan defaults by 69% and doubled automatic payments. Here's how.
You go to a car dealership on your day off and find your new ride🏎️ It's not the Mustang that teenage you dreamed of, but hey, in this economy? 🧵
You get financing and a call from a bank. Then the problems start.
💲Your loan is due each month on the day that you bought the car, even though it’s 8 days from your payday. They’ll send you a reminder, but you don’t read your mail very often.
Could this be easier? 🤔
Prior research finds that financial shortfalls—esp. payday loans + bank overdrafts—are more common when the timing of someone’s income and their bills are mismatched.
Our hypothesis: it's easier for people to pay automatically + in smaller amounts timed with when they get paid.
Knowing these top 16 critical behavioral ideas could change your work—and your life. 🚨
We cover all of these in our bootcamps. And we wrote an essential primer. Read on! (THREAD 👇)
There are a lot of behavioral hacks, but we think these 16 are essential. They cover a few major categories:
+ Perceived Costs and Benefits
+ Attention and Effort
+ Cognitive Heuristics
+ Risk and Uncertainty
+ Choice Architecture
+ Norms and Influence
Learn all 16 below 👇
1. PRESENT BIAS: We live in the here and now, placing more value on the present than the future. It’s hard to delay gratification, even when we know it’s good for us. Think: hitting the snooze button even when it will make you late.
Behavioral Scientist Allison White summarizes a recent paper from Wang, Drabeck and Wang that tries to discern the best predictor of loan repayment using "hard" and "soft" information about borrowers. (THREAD)
"Hard Information" describes financial metrics like assets, mortgages, and income.
"Soft Information" includes demographic characteristics like age, education, gender + race, as well as social networks, video interviews, profile pictures, and prior borrowing stories. /2
In a study on an online Chinese peer-based lending platform, RenrenDai.com, the researchers explored the role of soft information.
They created and tested the predictive power of three different models to predict default rates. /3
We put a short prompt on videos that reminded people to think about the accuracy of the content they were watching. And then - when people went to share the video - we reminded them again that the video was flagged & asked them if they were sure they wanted to share. 3/7