In this scenario, I change the donate button into a chance to get your good deeds boosted by the shop. I found out that people feel more comfortable when they know what will happen to their donation.
Typical Interface
33% clicked donate
This is a typical choice that is seen in our normal checkout user flow in digital experiences. The drawback of this technique is that it might be hard to predict how much control the user wants to donate or their donation appetite.
Scenario 11
66.67% clicked donate
This mechanism incentivises participation by making the shop have a chance to donate more than the user.
This doesn't promote participation as well because the benefit doesn't directly involve the user.
Strategy
What happens when we try framing donation as a chance to win?
Comments
People reported lack of control. Here's what some people felt!
Person 1
They reported a lack of control over the donation amount and interface.
Person 2
This feel like a "gimmick" and didn't feel real enough.
Inspiration
You've probably seen this around you before.
Inspiration 0
TikTok Videos
Measurements
After measuring, people felt that this interface was not socially acceptable based on a deception score of 3/3.5.
1
Question
How much of a risk was it to donate in this scenario?
4.333
Not Risky
Very Risky
2
Question
When using this interface, how often do you feel unsure or uncertain about the outcome that will be given to you?
3.3333
Not Often
Very Often
3
Question
On a scale of 1-5, how pressuring was the experience in asking you to donate?
1.6667
Not Pressuring
Pressuring
4
Question
On a scale of 1-5, how motivating was it to donate using this interface?
2.6667
Not Motivating
Motivating
Conclusion
Since people felt that this interface was not socially acceptable, we should probably not adopt this interface.
From this experiment, I found out that people feel more comfortable when they know what will happen to their donation.
The Deceptive Interfaces Framework help designers create socially-acceptable interfaces using human biases, inspired from deception.
Made by Yuan Jie