Persuasive Patterns: Demonstration, Facilitation
Sequencing
Break down complex tasks into small and easily completed actions
Sequencing is the technique of breaking down complex tasks into smaller, manageable actions to facilitate task completion.
Imagine you’re assembling a piece of furniture. The instruction manual breaks down the assembly process into small, numbered steps, each with a clear diagram and a list of required parts. You find it easier to focus on one step at a time, completing each one before moving on to the next. This sequencing of tasks helps you maintain your concentration and reduces the cognitive load, making the assembly process smoother and more efficient.
The study
One study that encapsulates the power of sequencing in design was conducted by Robert B. Cialdini, who analyzed the effectiveness of breaking down complex processes into a series of ordered steps for the purpose of enhancing compliance. Cialdini’s work discovered that people are more likely to complete a task if it is presented in smaller, sequential steps as opposed to a single, overwhelming request.
In the study, two groups were presented with a task: one received the task as a single, complex request, and the other had the task broken down into smaller, sequential steps.
The results were telling. The group that received the task in smaller steps showed a compliance rate of 65%, whereas the group given the complex task in one go had a significantly lower compliance rate of 35%. This notable difference in compliance revealed that people are more inclined to complete a task if they receive it as a series of manageable steps.
Cialdini, R. B. (2001). Influence: Science and practice (4th ed.). Boston: Allyn & Bacon.
Sequencing organizes complex tasks into a series of smaller, ordered steps to reduce cognitive load and improve completion rates. It differs from chunking, which groups information for easier recall – sequencing focuses on guiding users through a process in a specific order, like the steps in a setup wizard. Research confirms the approach works: task-sequencing improves time-on-task and completion rates, though it has less effect on accuracy.
The technique draws on several reinforcing principles:
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Cognitive Load Theory – Working memory has limited capacity. Breaking tasks into smaller steps prevents overload and makes each action feel manageable.
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Goal-Setting Theory – Specific, achievable goals improve performance. Each step in a sequence functions as a mini-goal, building momentum toward the larger objective.
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Self-Efficacy – Research shows that completing small tasks builds belief in one’s ability to handle bigger ones. Sequential success creates a confidence ramp that sustains motivation through more demanding steps.
Designing products with Sequencing
Decompose intricate tasks into smaller, manageable steps – either sequential (forming a task flow) or listed (items to be completed independently). For each step, consider what the user needs to do, what the system can automate, and what information is essential.
- Split up complex tasks
Decompose complex tasks into small, easily completed actions – either as ordered steps in a sequence or as a checklist of items to complete. - Set clear objectives for subtasks
Define a clear objective for each subtask to ensure every part of the primary task is addressed without gaps. - Set expectations
Show users how many steps remain before the sequence is complete. - Remove what is not needed
Audit each step: what must the user do, what can the system automate, and what information is essential? Use conditional logic to adapt later steps based on earlier input, eliminating unnecessary steps.
A 2017 study by Cockburn et al. found strong recency effects in sequenced interactions: the last steps disproportionately shape user preference, though the effect may be temporary. Notably, the study found no evidence for primacy effects, suggesting designers should prioritize the “last impression” over the “first impression.”
- End on a high note
End interaction sequences with positive experiences to leave a lasting good impression. - Minimize negative interactions towards the end
Avoid ending sequences with frustrating or complex tasks, as negative recency effects were also observed. - Improve retention through endings
Users’ retrospective assessment of experience influences their willingness to repeat an interaction. A positive ending can improve retention rates.
Ethical recommendations
Sequencing can be misused in two key ways: designing sequences that make it difficult to exit mid-process (leading to unintentional purchases or sign-ups), and over-gamifying sequences with rewards for repetitive actions that offer no real value. To apply this pattern responsibly:
- Transparency
Always be transparent with users about the steps involved in a sequence and what each step entails. This helps the user to make informed decisions. - Exit options
Ensure that there are clear and easily accessible options for exiting the sequence at any point. This respects user autonomy and decision-making. - Value alignment
Make sure that the sequence aligns with the genuine needs and wants of the user. Avoid sequences that lead to unnecessary upsells or unwanted commitments.
Real life Sequencing examples
Mailchimp
The email marketing service guides users through the campaign-creation process in a sequential manner, preventing overwhelm and mistakes.
Duolingo
The language learning app breaks down lessons into small, manageable parts, guiding the user through a sequence of increasing difficulty.
When new users sign up, they are guided through a sequence of steps to complete their profile, thus encouraging fuller engagement with the platform.
Trigger Questions
- Are we breaking down complex tasks into simpler steps?
- Are we providing a clear path that guides users through these steps?
- How can we incorporate progress indicators?
- Are there any ethical concerns related to the sequence?
- Could the sequence be simplified further to lower cognitive load?
- Are we clearly communicating what each step entails and requires?
Pairings
Sequencing + Goal-Gradient Effect
In e-commerce checkouts, the sequence of steps to finalize a purchase can be integrated with a progress bar (Goal-Gradient Effect), indicating how close the user is to completing the purchase.
Break down complex tasks into small and easily completed actions
Our motivation increases as we move closer to a goal
Sequencing + Rewards
Online learning platforms often employ a sequence of lessons paired with rewards upon completion. Duolingo is an example where sequencing is used to break down language learning into individual lessons and units, with rewards provided at each milestone.
Break down complex tasks into small and easily completed actions
Use rewards to encourage continuation of wanted behavior
Sequencing + Peak-End Rule
Combining Sequencing with the Peak-End Rule can be highly effective. For example, a fitness app could sequence workouts to start with simpler exercises and end with a satisfying cool-down session, ensuring that the user’s last memory is a positive one.
Break down complex tasks into small and easily completed actions
We judge an experience by its peak and how it ends
Sequencing + Serial Positioning Effect
Since Sequencing involves breaking down tasks into smaller actions, it can be paired with the Serial Positioning Effect to emphasize the first and last tasks in a sequence. This could be useful in educational platforms where the introduction and conclusion of a lesson are designed to be particularly engaging or informative.
Break down complex tasks into small and easily completed actions
We remember the first and last items in a list better
Sequencing + Loss Aversion
This principle can be effective when a sequence of steps or tasks has started but is not yet complete. By highlighting what users stand to lose if the sequence is not completed, Loss Aversion can motivate them to see tasks through to the end. For example, online courses often employ this by showing progress bars or percentages, subtly communicating what you stand to “lose” if you don’t complete the course.
Break down complex tasks into small and easily completed actions
Our fear of losing motivates us more than the prospect of gaining
Sequencing + Endowment Effect
Sequencing can be paired with the Endowment Effect to give users a greater sense of ownership over the process or the end result. When users complete parts of a sequence, their emotional investment in the process or product grows. This can be seen in customizable product experiences where the user follows a sequence of choices to personalize a product. As they go through each step, they become more committed to the end product, perceiving it as more valuable because they “created” it.
Break down complex tasks into small and easily completed actions
We value objects more once we feel we own them
Sequencing is one of the cards in this deck
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Get your deck!- Plans and the structure of behavior by Pribram, Miller & Galanter
- How to improve your UX designs with Task Analysis at The Interaction Design Foundation
- Working memory at Wikipedia (en)
- Freedman, J. L., & Fraser, S. C. (1966). Compliance without pressure: the foot-in-the-door technique. Journal of Personality and Social Psychology, 4(2), 195.
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
- Cialdini, R. B. (2001). Influence: Science and practice (4th ed.). Boston: Allyn & Bacon.
- Fogg, B. J. (2009). A behavior model for persuasive design. Proceedings of the 4th International Conference on Persuasive Technology.
- Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. New Haven, CT: Yale University Press.
- Ramsey, M. L., Jolivette, K., Puckett Patterson, D., & Kennedy, C. (2010). Using Choice to Increase Time On-Task, Task-Completion, and Accuracy for Students with Emotional/Behavior Disorders in a Residential Facility. Education and Treatment of Children, 33, 1-21.
- Lodree, E. J., Geiger, C., & Jiang, X. (2009). Taxonomy for integrating scheduling theory and human factors: Review and research opportunities. International Journal of Industrial Ergonomics, 39, 39-51.
- Paas, F., & Van Merriënboer, J. (1994). Instructional control of cognitive load in the training of complex cognitive tasks. Educational Psychology Review, 6(4), 351–371.
- Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation. American Psychologist, 57(9), 705.
- Pribram, Karl H.; Miller, George A.; Galanter, Eugene (1960). Plans and the structure of behavior. New York: Holt, Rinehart and Winston. pp. 65
- Crandall, B., et. al. (2006). Working Minds: A Practitioner’s Guide to Cognitive Task Analysis<. MIT Press.
- Cockburn, A., Quinn, P., & Gutwin, C. (2017). The effects of interaction sequencing on user experience and preference. International Journal of Human-Computer Studies, 108, 89-104.