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Reinforcements are effects that can take a number of forms including: audible chimes, splashes of confetti, or words of encouragement.
These reinforcements are designed to be unexpectedly delightful (i.e. not only was it pleasant, they didn’t see it coming!). The brain’s Habit System activates and they become more likely to perform that action again in the future. The surprising and delightful reward they received for their behavior reinforces that cue → action pairing, and increases their chances of doing it again: it’s the glue that locks the new habit in their minds.
Core Actions vs. Habitual Actions
It is important to delineate between two types of actions: core and habitual. Core actions are related to business goals and KPIs. Examples of core actions include in-app purchases.
Habitual actions are those which users engage naturally while using your application. Examples of habitual actions include reading a story or swiping on a profile. BoundlessAI increases core actions and related KPIs by rewarding and thereby increasing habitual behavior.
A reinforcement scheme declares each
actionName to reinforce, and every
reinforcementName to deliver for each action. A usual scheme ranges from 1 to 3 actions, with 1 to 8 reinforcements per action.
When creating a reinforcement scheme think about:
- Which habitual actions to reinforce
- Why those actions are important for user engagement and retention
- What reinforcement(s) to design
- Where in the code base to deliver reinforcement(s)
Boundless' Reinforcement Engine delivers reinforcements to users on the fly that are experimentally proven to be effective for that individual. To start a new experiment, go to the dashboard and create a new reinforcement scheme.
Below is an example of a reinforcement scheme
Schemes are created and managed from the dashboard. Public-facing documentation is expected in Q2 2019.
The Habit System is a more colloquial term describing the Basal Ganglia, a set of brain structures involved in behavioral control and habits. ↩