Precomitting Increases Donations

The results show that donors were more likely to increase their donation amount when they were committing to increasing their donation at a future time.

Background

The commitment bias describes how people and groups are willing to support their past ideas and decisions – even when new evidence or events makes doing so irrational. This bias is also known as escalation of commitment or the sunk cost fallacy. It was initially described by Barry M. Staw in his 1976 paper, “Knee deep in the big muddy: A study of escalating commitment to a chosen course of action”.

The commitment bias explains that we tend towards being consistent with our prior commitments, actions, thoughts and dispositions, even when it is against our own interests.

WANT TO WORK TOGETHER ON A RELATED PROBLEM?

Effective interventions start with a nuanced understanding of how decisions are made. Our mission is to help large organizations be better and do better, using behavioral science.

Learn about what we do

Description

The commitment bias describes how people and groups are willing to support their past ideas and decisions – even when new evidence or events makes doing so irrational. This bias is also known as escalation of commitment or the sunk cost fallacy. It was initially described by Barry M. Staw in his 1976 paper, “Knee deep in the big muddy: A study of escalating commitment to a chosen course of action”.

The commitment bias explains that we tend towards being consistent with our prior commitments, actions, thoughts and dispositions, even when it is against our own interests.

Beliefs

We tend to invest heavily in our beliefs about the world and about ourselves. The more time and energy we invest in our beliefs —think money, effort, or pain – the more sunk costs we accumulate. The greater the sunk costs, the harder it becomes to change our mind. Whether or not we are actually right, we have strong convictions to believe that we are. Think about the last time you assembled a shelf. Even if the shelf has deficiencies, or doesn’t fit well into a room, you will likely find it much harder to give it away.

How it's used

  • “Don’t make any promises that you can’t keep.” – The commitment bias can be helpful in relationships as it binds people to uphold their promises.
  • Commitment biases can be advantageous – Pre-commitment devices can be used to stave off procrastination and temptation in order to achieve goals.
  • Marketing – Companies often use the commitment bias to their advantageous by trying to get customers to make small commitments early on such as signing up for a trail membership). Once a commitment has been made, it is less likely people will alter their behavior.

behavior change 101

Start your behavior change journey at the right place

Examples

Health

Pre-commitment devices can be used to stave off procrastination and temptation in order to achieve goals. For example, if someone publicly commit to their intentions (like going to the gym three times a week) so they become more likely to follow through on their plans. The website Stickk allows people to publicly commit to a positive behavior change (e.g. give up junk food). The goal-setting platform created by behavioral economists at Yale University and draws on the principle of loss aversion. For example, if a user wants to lose weight, the decision to not go to the gym may be coupled with the fear of loss (see loss aversion) —a cash penalty in the case of non-compliance.

Education – Commitment to Beliefs

In his book Outliers, Malcolm Gladwell talks about how teachers who tend to identify students as smart not only affected how the teachers saw the student’s work but, more importantly, affected the opportunities teachers gave the students. Smarter students received better opportunities which shaped them to be better students. The teacher’s early commitment to an individual student’s intelligence can perpetuate a self-fulfilling prophecy.

Sources

[1] The Behavioural Insights Team. (2017). The Behavioural Insights Team Update Report 2016-17. Retrieved from: https://38r8om2xjhhl25mw24492dir.wpengine.netdna-cdn.com/wp-content/uploads/2017/10/BIT_Update-16-17_E_.pdf

[2] R. B. Cialdini, A. Levy, C. P. Herman, L. T. Kozlowski & R. E. Petty. (1976). Elastic shifts of opinion: Determinants of direction and durability. Journal of Personality and Social Psychology, 34(4), 663-672. Retrieved from: https://dx.doi.org/10.1037/0022-3514.34.4.663

[3] J. Guszcza. (2015). The last-mile problem: How data science and behavioral science can work together. Deloitte Review, 16. Retrieved from: https://dupress.deloitte.com/dup-us-en/deloitte-review/issue-16/behavioral-economics-predictive-analytics.html

[4] M. Kosinski, D. Stillwel & T. Graepel. (2013). Private traits and attributes are predictable from digital records of human behavior. PNAS, 110(1), 5802-5805. Retrieved from: https://www.pnas.org/content/110/15/5802.full.pdf

[5] Y. Wang & M. Kosinski. (2017). Deep neural networks are more accurate than humans at detecting sexual orientation from facial images. Retrieved from: osf.io/zn79k

About us

We are the leading applied research & innovation consultancy

Our insights are leveraged by the most ambitious organizations

Image

“

I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.

Heather McKee

BEHAVIORAL SCIENTIST

GLOBAL COFFEEHOUSE CHAIN PROJECT

OUR CLIENT SUCCESS

$0M

Annual Revenue Increase

By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.

0%

Increase in Monthly Users

By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.

0%

Reduction In Design Time

By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.

0%

Reduction in Client Drop-Off

By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%

Notes illustration

Eager to learn about how behavioral science can help your organization?