Make it a Better Experience (makeit Goal Oriented)
John Gusiff
Chief Experience Officer | CX Strategy | Brand Loyalty | Customer JTBD | Experience Design | makeit toolit | Behavioral Science | GenAI |
I leverage the Make it Toolkit in my CX Strategy and Experience Design work for clients across industries.
Every few weeks I post on one of the 15 makeit toolkit strategies or other topics for designing more human-centered experiences.
Focusing on practical examples of specific makeit Tactics being utilized in creative ways by different brands and companies.
Hopefully, these examples will inspire you to consider leveraging a more human-centered design process, we call it The makeit Behavioral Design Sprint .
This week, my post is around one of the Make it Toolkit strategies 'make it Goal-oriented'.
In this post I'll be highlighting three specific Tactics as part of 'Make it Goal-oriented' individually and in combination with other Tactics:
(1) Clear Goals: Set a specific, unambigious and possibly time-bound goals to direct one's attention and effort.
(2) Visual Hint: Provide clear and focused instructions and suggestions on what action to take next.
(3) Goal Gradient Effect: Accelerate the behaviour to progress towards a goal or reward by emphasizing (and eventually create anticipation) once one is getting closer to achieving it.
make it goal-oriented by leveraging people's need for completeness, and provide a sense of accomplishment, progress, and competence.
(1) Clear Goals
Fitbit employs the clear goals tactic by setting specific, measurable, and time-bound objectives for its users.
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The specificity of the goal reduces ambiguity and helps users understand exactly what is required to achieve their daily fitness targets. By having a clear benchmark, users can monitor their progress and stay motivated to meet or exceed their daily step count.
Users can see their step count, active minutes, and other health metrics at a glance, allowing them to adjust their behavior and activities to stay on track. This continuous feedback loop not only keeps users informed about their progress but also reinforces their sense of competence and achievement as they move closer to their goals.
The Science (Clear Goals):
The science behind the makeit Tactic of Clear Goals is based upon Self-Determination Theory (SDT), developed by psychologists Edward Deci and Richard Ryan, a broad framework for the study of human motivation and personality. SDT posits that people have three innate psychological needs that are essential for psychological growth, integrity, and well-being: autonomy, competence, and relatedness.
Types of motivation: Extrinsic vs. Intrinsic
According to SDT, competence is one of the key factors that drive intrinsic motivation. When individuals feel competent, they are more likely to be intrinsically motivated to engage in an activity.
Setting clear goals enhances intrinsic motivation by providing a clear target to aim for, which satisfies the psychological need for competence as outlined by Self-Determination Theory (Deci & Ryan, 2000).
(2) Visual Hint
Credit Karma leverages visual hints to guide users toward financial health and credit improvement:
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For instance, users can input scenarios such as adding a new credit card, increasing or decreasing balances, or increasing their credit limit. These simulations then visually demonstrates how these actions could positively or negatively affect their credit score.
This tool serves as a clear visual hint, helping users understand the potential consequences of their financial decisions. By making the outcomes of different actions transparent, Credit Karma guides users towards making more informed and beneficial financial choices, fostering a deeper understanding of credit management.
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These next step suggestions are tailored to the user's specific financial situation and presented in a straightforward manner. By breaking down complex financial strategies into simple, actionable tasks, Credit Karma makes it easier for users to follow through on recommendations and see tangible improvements in their credit health.
By visualizing their journey and seeing the incremental progress they make, users are more likely to stay motivated and committed to their financial goals. The ongoing feedback and positive reinforcement from tracking progress help users build better financial habits and achieve long-term credit improvement.
The Science (Visual Hint):
The science behind the makeit Tactic of Visual Hint is based upon cognitive load theory. When you have multiple sources of visual information, such as diagrams, labels and explanatory text, your attention is divided between them. This adds to the cognitive load, making it more difficult to create new schemas. This effect is reduced when you integrate visual information.
Visual hints help reduce cognitive load by providing clear, focused instructions on what action to take next, making it easier for individuals to process information and make decisions (Sweller, Ayres, & Kalyuga, 2011). This enhances the perceived ease of task completion, thus increasing the likelihood of action.
In addition, visual hints act as nudges, subtly guiding behavior in a desired direction without restricting freedom of choice (Thaler & Sunstein, 2008). By making the next steps clear and visually prominent, users are more likely to follow through on the suggested actions.
Definitions of intrinsic load, extraneous load, and germane load from a general UX standpoint:
This type of load is intrinsic to the task itself and is unavoidable. It depends on how many elements need to be processed simultaneously and how they interact with each other.
This load does not contribute to the user's goals and often hinders them. Poorly designed interfaces, unnecessary information, or confusing layouts contribute to extraneous load.
This load is beneficial for users as it involves meaningful interaction and comprehension. Effective UX design aims to maximize germane load while minimizing extraneous load.
In summary: intrinsic load refers to the inherent complexity of the task or content itself, while extraneous load is the unnecessary cognitive effort caused by poor design. Germane load, on the other hand, is the cognitive effort that supports user goals and effective interaction.
(3) Goal Gradient Effect
LinkedIn utilizes the goal gradient effect to encourage users to complete their profiles and engage more deeply with the platform:
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The proximity to the goal heightens users' anticipation and urgency to complete their profiles, as the end result feels more attainable and rewarding. The progress bar also serves to constantly remind users of their proximity to a significant milestone, keeping them engaged with the task.
By breaking down the remaining tasks into manageable steps, LinkedIn reduces the perceived effort required to reach the goal. This incremental approach helps maintain users' momentum and reduces the likelihood of abandonment, as users feel that they are steadily making progress towards a tangible and beneficial outcome.
These rewards act as positive reinforcement, celebrating users' achievements and validating their efforts. By making the benefits of a complete profile explicit and immediate, LinkedIn not only motivates users to complete their profiles but also enhances their overall engagement with the platform.
The Science (Goal Gradient Effect):
The science behind the makeit Tactic of Goal Gradient Effect comes from behavioral economics. The goal gradient hypothesis suggests that individuals accelerate their efforts as they get closer to a reward. This phenomenon was first observed by Hull (1932) in animal studies and later confirmed in human behavior (Kivetz, Urminsky, & Zheng, 2006). It highlights that motivation increases as the goal becomes more attainable, driving higher engagement and effort.
Studies have shown that individuals are more likely to increase their efforts as they perceive themselves to be near the completion of a goal (F?rster, Higgins, & Bianco, 2003). This effect is leveraged by providing visual progress indicators and breaking down larger goals into smaller, more manageable steps.
In Summary
By leveraging these tactics, Fitbit, LinkedIn, and Credit Karma effectively drive user engagement and behavior change by setting clear goals, emphasizing progress towards these goals, and providing visual cues to guide users along their journey.
This approach not only fosters a sense of accomplishment but also enhances the users' experience by making their progress visible and tangible.
Speaker, management advisor, and author of such books as The Experience Economy, Infinite Possibility, Authenticity, and Mass Customization.
4 个月CX? No, this is about creating transformative experiences!