Alternate titles: Negativity Effect.
We have a tendency to pay more attention and give more weight to negative than positive experiences or other kinds of information.
- Use to anticipate and accommodate bad experiences before they become a problem
- Use to frame messages to your users to optimize for positivity
Bad is stronger than good. Negative information will attract our attention more than positive information will.
When deciding on what information is presented to users of your system, consider the fact that negative information or design elements with a negative tone will ring more attention than positive information and design will.
You can utilize this fact in your design by paying great attention to what negative feedback is presented to the user. Is it really important? Does it bring the users closer to their goal(s)? If you want users to pay attention to positive information, be careful not to let negative feedback outshine the positive.
- Adjust your frame. Negative messages will outweigh positive ones. Consider separating positive messages from negative ones to harvest the full value of them – or even integrating multiple negative messages into one: get it all out. Be careful not to let negative feedback to users outshine the positive.
- Turn negative messages into positive experiences. If you do need to convey a negative message to your users, consider how you can turn the negative experience into a positive one by immediately providing quick and effortless ways to solve the pain. Give a helpful hand.
- Anticipate bad experiences. Map out the emotional rollercoaster your users are going through in their customer journey and work to find solutions to accommodate users before confusion, lack of information, or misunderstandings becomes a problem.
We pay more attention and give more weight to negative feedback than positive.
As we’ve seen with loss aversion, we work much harder to avoid losing $100 than we will work to gain the same amount – and painful experiences (loss) are much more memorable than pleasurable ones (gain). But whereas loss aversion refers to negative values, the negativity bias refers to negative information1.
Customers buy less as a reaction to bad news, but not more as a reaction to good news. When of equal intensity, things of a more negative nature (unpleasant thoughts, emotions, or social interactions) have a greater effect on a person’s psychological state than neutral or positive things. As humans, we give priority to bad news why only few bad moments can ruin a perfect reputation.
The negativity bias is also the reason political smear campaigns outpull positive ones. Nastiness just makes a bigger impact on our brains. Your brain is simply built with a greater sensitivity to unpleasant news2.
The Negativity Bias has been researched and end explained by several branches of academia, including research on social judgements and impression formation, behavioral economics and loss aversion, and social comparison theory.
1 Negativity bias at wikipedia.org
2 Our brain’s negative bias at psychologytoday.com
3 Why is the news always so depressing? The Negativity Bias, explained. at The Decision Lab
4 Baumeister, Bratslavsky, Finkenauer & Vohs (2001). Bad is stronger than good. Review of General Psychology. 5 (4): 323–370.
5 Rozin, Paul; Royzman, Edward B. (2001). Negativity bias, negativity dominance, and contagion. Personality and Social Psychology Review. 5 (4): 296–320
6 Festinger, Schacter & Back (1950). Social pressures in informal groups: A study of a housing community. Palo Alto, CA: Stanford University Press.
User Interface Design Patterns
- Explaining the process
- Community driven
- Jumping in hierarchy
- Formatting data
- Social interactions
- Increasing frequency
Persuasive Design Patterns
- Loss Aversion
- Other cognitive biases
- Gameplay design
- Fundamentals of rewards
- Gameplay rewards