Skill coaching simply refers to guiding a person to acquire a new behavior or set of behaviors, often by scaling the information and challenge level with their growing ability.
Examples of this might include teaching someone to cook healthy foods or training them in various self-regulation techniques from cognitive behavioral therapy. This coaching may be done by an individual or automated through digital experiences.
Rules of thumb refer to simplifation heuristics used in dealing with uncertainty, situations where tracking behaviors can be onerous, or areas where one-size-fits-all approaches may not be successful. They can be a useful tool to reduce the cognitive load of complying with a new behavior.
For example, a person may find it easier to "eat out at restaurants only 4 times per month" rather than "limit monthly restaurant spending to $200." Similarly, avoiding eating certain types of foods, e.g. fried foods or high-calorie drinks, may be easier to recall and comply with than hitting a daily calorie goal.
Lotteries are any form of assigning an award where there is an element of randomness or chance.
One example is a prize-linked savings account (PLSAs). One of the earliest of these was the Million a Month Account (MAMA) in South Africa, where First National Bank offered account-holders with qualifying deposits a chance to win up to one million rand each month (along with other smaller prizes given out at random).
Lotteries may be used with non-financial rewards as well, e.g. offering tickets to a sold-out play or sporting event for employees reaching certain performance benchmarks.
Social norms are shared expectations on how people within a certain group will or should behave. They are often considered as unwritten rules that govern behavior and tend to be very influential.
Influencing behavior using social norms can take a variety of forms. For example, some studies aim to correct misunderstandings around descriptive norms (what people in a group actually do). One trial involving the UK Behavioural Insights Team increased tax compliance by emphasizing that the vast majority of people pay their taxes on time, which influenced non-compliers to become more like the majority. People generally do not like to deviate from the norm, which may explain the success of this tactic.
Other approaches involve attempting to change social norms or create new social norms, which is substantially harder. One prominent example was the promotion of the ""designated driver"" (DDs) in the US during a period of high automobile fatalities. Public health officials influenced Hollywood producers to include the designated driver in film and television scenes, which caused viewers to: 1) likely believe the use of DDs was much more common than it actually was, and 2) likely consider using a DD was what they ""should"" do (i.e. the injunctive norm). Following the public health campaign, awareness and compliance with the DD protocol rose substantially, and auto fatalities dropped precipitously.
Implementation intentions are specific details for when and how a behavior should or will be performed.
These are often formulated as ""if-then"" rules, such as:
- "if I crave something sweet, I'll have fruit instead of candy"
- "if I am in the mood for a cigarette, I'll wait 5 minutes—then, if I still want it, I can have one"
Other examples include studies where flu vaccination uptake was higher in groups of people nudged to make more specific plans (i.e. picking a specific time and date, along with a mode of transport to a specific clinic). The same general effect was observed with voting behaviors.
These are a generally low-cost tool to slightly improve the gap between intention and performance of a behavior.
Automation refers to having another person, group, or technology system perform part or all of the intended behavior.
A prominent example is Thaler & Bernartzi's Save More Tomorrow intervention, which invested a portion of employees' earnings into retirement funds automatically and even increased the contribution level to scale with pay raises. Other examples include automatically scheduling medical appointments so the patient needn't do it themselves and mailing healthy recipe ingredients to the person's home to reduce the burden of shopping.
Self-monitoring or tracking simply refers to a person measuring their behavior, experiences, cognition, or other data points over time.
Often, merely tracking a behavior can influence the likelihood or frequency with which a person performs the behavior or related ones. For example, many pedometer studies increase walking activity merely by improving awareness, and many interventions that merely consist of rewarding someone for weighing themselves result in weight loss. Similarly, when cognitive behavioral therapy patients track which cues or environments are associated with undesired behaviors or thoughts, they may begin to avoid them.
Unfortunately, people often find tracking behaviors tedious and lose interest after a short period, so behavior designers should seek to reduce the burden of self-monitoring by collecting information automatically or doing so in a low-effort way.
Tracking cognitions or emotions (often both) refers to a person recording when they have certain thoughts or feelings. The person might note every time they experience a given thought or specific feeling whenever it comes up, or alternatively simply keep a diary of any notable thoughts or feeling at pre-determined times. Often, this also includes noting what triggered or occured before or alongside these thoughts and emotions.
Many therapuetic approaches utilize this tool, even if only for brief periods, to help a system, clinician, or patient better understand the patterns around their thoughts and feelings. Often, this data is integrated into additional behavior change approaches, like behavioral activation or implementation intentions.
