Persuasive Patterns: Facilitation
Feedback Loops
We are influenced by information that provides clarity on our actions
Feedback Loops refer to the process where the outputs of a system are circled back and used as inputs, providing users with real-time information about their actions to reinforce or modify their behavior.
Imagine you’re trying to improve your fitness. You buy a smartwatch that tracks your daily steps, heart rate, and calories burned. Each evening, you review your activity data. On days you notice your step count is low, you feel motivated to walk more the next day. This simple loop – tracking activity and reflecting on it – subtly shapes your behavior, pushing you to be more active.
Now consider a language learning app. As you complete lessons, the app highlights areas of strength and flags weaknesses in real time. Just like your fitness tracker, this feedback helps you understand your progress and guides where to focus next. The underlying mechanism is the same: continuous information about your performance steers your behavior toward improvement.
The study: Performance feedback boosts effort and goal attainment
Bandura and Cervone (1983) investigated how performance feedback influenced behavior in goal-directed tasks. Participants who received progress feedback increased their effort by approximately 30% compared to the control group and improved task accuracy by 25%. They were also 40% more likely to achieve their set goals, and recipients of positive feedback set future goals that were on average 15% higher than their previous ones.
Bandura, A., & Cervone, D. (1983). Self-evaluative and self-efficacy mechanisms governing the motivational effects of goal systems. Journal of Personality and Social Psychology, 45(5), 1017-1028.
By providing immediate information on the consequences of their actions, feedback loops help users understand impact, improve engagement, and adapt their behavior. Three key psychological principles underpin their effectiveness:
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Self-regulation
Bandura’s Social Cognitive Theory emphasizes feedback’s role in self-assessment and action adjustment. When feedback indicates you’re far from a goal, you increase effort or change strategies. Feedback loops are the mechanism that makes this self-correction possible. -
Reinforcement
Feedback loops draw on reinforcement principles from B.F. Skinner’s operant conditioning. Positive feedback increases the likelihood of a behavior being repeated, while negative feedback decreases it. The feedback itself acts as the reinforcer. -
Motivation and goal-setting
Locke and Latham’s Goal-Setting Theory shows that specific, challenging goals combined with appropriate feedback enhance motivation and performance. Feedback clarifies the goal, reveals the gap between current and desired performance, and fosters a sense of achievement upon progress.
Designing products through Feedback Loops
Designers can create systems that provide meaningful, timely, and constructive feedback, helping users understand the impact of their actions and stay engaged. There are two primary types of Feedback Loops: positive and negative. Each plays a distinct role in balancing a system and influencing user behavior.
Positive Feedback Loops
Positive feedback loops amplify outcomes, driving change within the system. They are instrumental in reinforcing desirable behaviors. For example, in a fitness tracking app, a positive loop could involve rewarding users with badges for consistently meeting their daily step goals. This reinforcement encourages continued engagement and habit formation. However, if left unchecked, positive feedback can lead to negative consequences. It’s important to moderate these loops to prevent them from spiraling out of control. For instance, in a social media platform, too much emphasis on ‘likes’ and ‘shares’ as positive feedback can lead to addictive behaviors and anxiety.
Negative Feedback Loops
Negative feedback loops serve to stabilize a system. They act as a counterbalance to positive feedback, ensuring the system remains around an equilibrium point. In an educational app, if a user performs poorly on a quiz, a negative feedback loop might involve suggesting remedial content or additional practice exercises. This helps the user to improve and prevents frustration. While negative feedback is crucial for stability, excessive negative feedback can hinder growth and innovation. It’s important to strike a balance so that users are not discouraged or demotivated.
Systemic perspective
When designing feedback loops, consider how changes in one part of the system affect others. This holistic view ensures a well-rounded user experience. For example, in an e-commerce website, altering the feedback mechanism for product reviews will not only influence buyer behavior but also seller actions and overall platform trustworthiness. Employ positive feedback loops to drive growth and change, but simultaneously integrate negative loops to maintain stability and prevent runaway behaviors. Still, be cautious of creating too strong a negative feedback loop, as it can lead to system stagnation and user disengagement.
Crafting effective Feedback Loops
To create effective feedback loops, optimize their speed, measurability, context, and connection to user motivations.
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Prioritize speed
The longer feedback takes to arrive, the less it influences future decisions. Achieve immediacy through real-time simulations, instant form validation, or push notifications for social interactions. A financial tool that simulates investment outcomes gives users a tangible sense of future rewards before they commit. -
Make feedback quantifiable
Like nutrition labels that make food choices clearer, digital products should offer measurable feedback through visual comparisons or clear metrics. Ensure these metrics accurately reflect the user’s reality and are grounded in meaningful data. -
Frame feedback in context
Feedback should relate to the user’s goals. Instead of merely showing how much money a user has spent, relate it to their budgeting targets. Contextual feedback helps users understand how their actions align with their objectives. -
Connect to user motivations
Gamified elements like points and badges should tie back to meaningful rewards or goals. Understand what drives your users – health, wealth, relationships, or personal growth – and tailor the feedback to these aspirations. -
Personalize the feedback
An e-learning platform can adapt feedback based on the learner’s pace and style, offering detailed explanations where needed and accelerating where the user is strong. -
Use visual feedback
Graphs, progress bars, and color-coded alerts are more engaging and easier to interpret than raw numbers. A budgeting app could show spending trends over time as a line chart, making patterns immediately visible. -
Ensure relevance and next steps
Every piece of feedback should offer a clear path forward. A project management tool could suggest specific time management improvements based on the user’s task completion history, rather than just flagging delays. -
Balance positive and constructive feedback
Positive reinforcement motivates; constructive criticism drives growth. A language learning app should celebrate achievements while pointing out areas for improvement. Prompting users to reflect on their actions deepens understanding – a meditation app could ask users to compare their mental state before and after a session. Limit feedback to key actions to avoid overwhelming users.
Ethical recommendations
Misusing Feedback Loops carries significant ethical risks, particularly when loops foster addictive behaviors or manipulate decisions. Social media platforms and games use feedback loops – likes, notifications, progress bars, levels – to create highly engaging experiences. While engagement itself is not negative, these mechanisms can lead to compulsive checking, excessive spending, and detrimental impacts on mental health. The central question for designers: Are we building a useful tool or a digital slot machine?
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Reflect on your intentions
Assess whether the product genuinely benefits users or primarily exploits their behaviors for profit. Prioritize features that enhance the user experience – educational feedback, progress tracking – over those that solely drive usage metrics. -
Avoid overstimulation
Balance feedback frequency to keep users informed without overwhelming them. Constant notifications and alerts can lead to information overload and stress. -
Promote positive outcomes
Use feedback loops to encourage beneficial behaviors – healthy habits, learning, financial responsibility – rather than purely addictive engagement. -
Provide opt-out options
Users should have the freedom to opt out of feedback mechanisms, giving them control over their interaction with the product.
Real life Feedback Loops examples
Tesla
Their real-time feedback on driving performance and energy consumption taps into the psychological effect of immediate reinforcement. Drivers see the impact of their driving habits on energy efficiency, prompting them to adjust their behaviors for optimal performance and resource conservation.
Mint
The Mint budgeting app offers financial feedback that influences users’ spending habits. This feedback mechanism employs the psychological principle of reinforcement learning. By setting budget goals and tracking spending against these targets, users are constantly learning and adjusting their financial behaviors based on the app’s feedback.
Duolingo
Duolingo leverages the psychological effect of immediate correction in language learning. As users complete exercises and quizzes, they receive instant feedback, which is crucial for learning and memory. This immediate response helps users quickly identify and correct mistakes, facilitating faster and more efficient language acquisition.
Trigger Questions
- Are we providing immediate feedback to user actions?
- Is our feedback relevant and aligned with the user's goals?
- Have we balanced the amount of positive and negative feedback?
- Does our feedback encourage further engagement and learning?
- Are we providing feedback that empowers, rather than overwhelms, our users?
- How can we make our feedback loops more intuitive and less intrusive?
- In what ways can our feedback encourage positive behavior change?
- How do we measure the effectiveness of our feedback loops?
Pairings
Feedback Loops + Simulation
Combining feedback loops with simulation allows users to learn from direct experience. In a simulated environment, users receive immediate feedback on their actions, enhancing learning and adaptation. This approach is grounded in the principle of experiential learning, where experience is the source of learning and development.
We are influenced by information that provides clarity on our actions
Give people first-hand insight into how inputs affect an output
Feedback Loops +
Self-Monitoring
This pairing leverages the principle of self-regulation. By enabling users to monitor their own behavior and receive feedback, they can better regulate and adjust their actions towards desired goals. This is particularly effective in habit-forming or behavior change apps.
We are influenced by information that provides clarity on our actions
Feedback Loops + Kairos
Integrating feedback loops with the concept of Kairos – the right or opportune moment – ensures that feedback is given at the most impactful time. This strategic timing of feedback can significantly influence decision-making and behavior.
We are influenced by information that provides clarity on our actions
Communicate to users in situations that are the opportune moments for change
Feedback Loops + Triggers
Triggers prompt specific behaviors, and when combined with feedback loops, they can reinforce desired actions. This pairing is based on the principle of cue-induced behavior, where external cues trigger specific responses, and feedback reinforces them.
We are influenced by information that provides clarity on our actions
Place cues on our regular paths to remind and motivate us to take action
Feedback Loops + Goal-Gradient Effect
The closer we get to achieving a goal, the more motivated we become. By showing progress through feedback loops, users are motivated to continue as they perceive themselves getting closer to their goal.
We are influenced by information that provides clarity on our actions
Our motivation increases as we move closer to a goal
Feedback Loops + Levels
This combination uses the principle of progressive achievement. As users advance through levels, they receive feedback, which motivates continued engagement and a sense of accomplishment.
We are influenced by information that provides clarity on our actions
Use levels to communicate progress and gauge users' personal development
Feedback Loops + Self-Expression
Allowing users to express themselves and receive feedback on their expressions supports identity formation and personalization. This approach taps into the psychological need for self-expression and identity.
We are influenced by information that provides clarity on our actions
We seek opportunities to express our personality, feelings, or ideas
Feedback Loops + Delighters
Delighters are unexpected features that provide positive feedback, enhancing user satisfaction and engagement. This pairing plays on the element of surprise and pleasure in receiving unexpected positive feedback.
We are influenced by information that provides clarity on our actions
We remember and respond favorably to new, unexpected, and playful pleasures
Feedback Loops + Delay Discounting
Delay discounting involves the preference for smaller immediate rewards over larger delayed ones. Feedback loops that provide immediate, positive feedback can counteract the tendency to undervalue future benefits.
We are influenced by information that provides clarity on our actions
We tend to choose smaller immediate rewards over larger, later rewards
Feedback Loops + Choice Closure
This pairing helps users feel a sense of closure after making a decision. By providing feedback after a choice, it reinforces the decision made, reducing doubt and increasing satisfaction.
We are influenced by information that provides clarity on our actions
We are more satisfied with decisions when we engage in physical acts of closure
Feedback Loops + Shaping
Shaping involves gradually modifying behavior through reinforcement. Feedback loops can be used to reinforce incremental steps towards a desired behavior, effectively shaping user actions over time.
We are influenced by information that provides clarity on our actions
Successively reinforce approximations to a target behavior
Feedback Loops is one of the cards in this deck
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Get your deck!- Bandura, A., & Cervone, D. (1983). Self-evaluative and self-efficacy mechanisms governing the motivational effects of goal systems. Journal of Personality and Social Psychology, 45(5), 1017-1028.
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- Khenissi, S., Boujelbene, M., & Nasraoui, O. (2020). Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System. Proceedings of the 14th ACM Conference on Recommender Systems.
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- Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
- Harkins, S. G., & Petty, R. E. (1982). The effects of task difficulty and task uniqueness on social loafing. Journal of Personality and Social Psychology, 43(6), 1214-1229.