People’s motivation increases as they get closer to a goal. The nearer the finish line appears, the harder people work to reach it.
Overview
Runners speed up when they see the finish line. Shoppers buy more often as they approach a loyalty reward. The goal-gradient effect describes this pattern: effort accelerates as people perceive themselves getting closer to completion.[1][2]
The perception of progress matters as much as actual progress. In one well-known study, car wash customers were given loyalty cards requiring eight purchases. Some received an eight-space card; others received a ten-space card with two spaces already stamped. Both needed eight more washes, but customers with the “head start” card were nearly twice as likely to complete it. Researchers called this the endowed progress effect.[3]
In digital experiences, the effect shows up in progress bars, step indicators, profile completion meters, and checklists, all of which make progress visible and the end feel reachable.
Why it matters
Long processes such as onboarding, applications, compliance training, and multi-step requests have high abandonment, especially in the middle, when the end is not yet in sight. Making progress visible and the remaining effort clear keeps people moving.
Showing progress also sets expectations. People are more willing to start a task when they know how long it will take.
Key takeaways
- Show progress clearly in multi-step processes: where people are, how far they have come, and what is left.
- Credit work already done. If people have already completed part of a task (for example, information pulled from their profile), show it as progress.
- Break long tasks into smaller steps so progress feels frequent and achievable.
- Be honest. Inaccurate progress indicators that stall or jump erode trust; fake progress is manipulative.
- Celebrate completion with clear confirmation, which reinforces the sense of achievement.
In practice
Common patterns in business applications, portals, and internal tools:
Supports the principle | Undermines the principle |
|---|---|
“Step 2 of 4: Supplier details” with a visual indicator. | A long sequence of pages with no indication of how many remain. |
Profile or setup checklists that show completed items. | A blank checklist that ignores information the system already has. |
Progress bars that move steadily and accurately. | Progress bars that sit at 99% for minutes. |
Long forms split into short, clearly named sections. | One very long page with no milestones. |
A clear completion message with next steps. | Finishing a long process with no acknowledgement. |
Questions to ask in a design review
- Can people see how far they have come and how much is left?
- Are we giving credit for steps or information people have already completed?
- Where in this process do people most often abandon, and can we make progress more visible there?
- Is our progress indicator accurate?
Origin
Behaviorist Clark Hull proposed the goal-gradient hypothesis in 1932, after observing that rats in a maze ran progressively faster as they approached food.[4][5]
In 2006, Ran Kivetz, Oleg Urminsky, and Yuhuang Zheng showed the same pattern in people: coffee shop customers bought more frequently as they neared a free-coffee reward.[2] That same year, Joseph Nunes and Xavier Drèze published the car wash study demonstrating the endowed progress effect.[3]
Related concepts
- Zeigarnik Effect — unfinished tasks stay on people’s minds
- Feedback — progress is a form of feedback
- Peak-End Rule — a satisfying finish shapes the memory of the experience
- Flow — clear goals and progress support focus
- Parkinson’s Law — visible deadlines and milestones shape effort
- Chunking — smaller steps make progress feel achievable
References and further reading
- Yablonski, J. Goal-Gradient Effect. Laws of UX. https://lawsofux.com/goal-gradient-effect/
- Kivetz, R., Urminsky, O., and Zheng, Y. (2006). The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention. Journal of Marketing Research, 43(1). https://doi.org/10.1509/jmkr.43.1.39
- Nunes, J. C., and Drèze, X. (2006). The Endowed Progress Effect: How Artificial Advancement Increases Effort. Journal of Consumer Research, 32(4). https://doi.org/10.1086/500480
- Hull, C. L. (1932). The Goal-Gradient Hypothesis and Maze Learning. Psychological Review, 39(1). https://doi.org/10.1037/h0072640
- Wikipedia. Clark L. Hull. https://en.wikipedia.org/wiki/Clark_L._Hull
- Nielsen Norman Group. Progress Indicators Make a Slow System Less Insufferable. https://www.nngroup.com/articles/progress-indicators/
- Yablonski, J. Laws of UX (format inspiration for this series). https://lawsofux.com/