Fitts' Law
The further away and smaller a target, the longer it takes to hit — and the more likely a user is to miss.
01 — TL;DR
Two sentences.
Fitts' Law predicts the time required to acquire a target as a function of its size and distance — bigger and closer targets are faster and less error-prone to click or tap than smaller and further ones. The formula: ID = log₂(2D/W), where D is distance to the target and W is its width — making target size and position the strongest design variables on motor accuracy.
The formula in plain English
Doubling the distance to a target roughly doubles the time it takes to hit it; doubling its size roughly halves that time. Screen edges and corners are effectively infinite targets in the perpendicular direction — the cursor or finger cannot overshoot them — which is why operating systems anchor their most-used controls to edges and corners.
Trigger phrase
When users are missing buttons, struggling to tap small targets, or taking longer than expected to complete simple pointing tasks — and the fix is a design decision about size and placement, not a copy or content decision.
02 — When to Use
Apply this when…
When NOT to apply it
Fitts' Law is the wrong lens for interactions that require deliberate precision — surgical interfaces, fine-grain drawing tools, professional measurement instruments — where oversized targets would reduce precision rather than improve usability. It also doesn't govern reading comprehension or decision time: it's a motor acquisition law, not an information-architecture or content-density law.
03 — How It Works
The mechanism
Paul Fitts published his original experiment in 1954, asking participants to tap alternately between two target plates while measuring how movement time varied with target distance and width. Doubling the distance roughly doubled movement time; doubling the target width roughly halved it. The law has since been replicated hundreds of times across mice, touchscreens, eye-tracking interfaces, and VR — making it one of the most robustly validated quantitative laws in human-computer interaction.
Fitts' vs cognitive load
Fitts' Law governs motor acquisition time — how quickly and accurately a user can point to an element. It does not govern decision time — how long they spend deciding what to do. A large, well-positioned button users cannot understand will still produce slow interactions. Fitts' and Cognitive Load Theory are complementary but distinct: Fitts' governs the act of interacting; CLT governs the work of deciding which target to interact with.
04 — Real Example
Apple's iPhone bottom navigation and the thumb-reach zone
When Apple redesigned the iPhone interface for larger screens beginning with the iPhone 6 in 2014, they faced a fundamental Fitts' Law tension: larger screens provide more real estate but move content further from the natural resting position of the thumb on a one-handed device. A navigation bar at the top of a 6-inch screen places the most frequent navigation items at the furthest possible distance from the thumb — maximising Fitts' index of difficulty for the most frequent interaction in the interface.
Apple's response was Reachability — a gesture that temporarily shifts the top of the screen down — and, more significantly, a progressive shift of primary navigation to the bottom of the screen. Bottom tab bars, bottom sheet interactions, and the migration of primary controls into thumb-reach zones across Apple's own apps reflect a systematic application of Fitts' Law to one-handed mobile interaction.
05 — In the Wild
Test yourself & see real examples
No examples yet — be the first.
Spotted a product where the most important action is buried in a small, distant corner — or one where the primary CTA is so large and well-placed it practically invites the click? Submit a screenshot and annotate what you see. Every approved example gets attributed to you.
Seen Fitts' Law applied well or violated in a real product? Help grow the evidence base.
06 — Common Mistakes
Where teams go wrong
07 — Variations & Related Principles
Connected ideas
Fitts' Law is the primary quantitative model for motor acquisition time in interaction design. Its closest relationships are with the design principles and cognitive models that together govern the full cost of a user interaction — from the decision to act to the moment the target is hit.
The most important pairing is Fitts' Law with Hick's Law. Hick's governs the time before movement begins — the cognitive cost of selecting among options. Fitts' governs the time after the decision is made — the motor cost of executing the selected action. Every user interaction has both a Hick's component (how long to decide) and a Fitts' component (how long to reach). Designing for one while ignoring the other produces an interaction that is fast in one dimension and slow in the other.
08 — 10-Min Exercise
Run it right now
⏱ 10 minutes · Solo · No prep
Open your product's most important screen — the primary dashboard, the key conversion page, or the main action screen. Identify the three most important actions a user needs to take.
1. For each action, evaluate two Fitts' properties: how large is the target (measure or estimate in pixels), and how far is it from where the user's pointer or thumb naturally rests when arriving at this screen — the centre for mouse, the bottom third for mobile thumb.
2. Rank your three actions by their Fitts' optimisation: which has the largest target and the shortest distance to acquisition? Is the ranking of Fitts' optimisation the same as the ranking of interaction importance?
3. If the most important action is not also the most Fitts-optimal — not the largest and most accessible target on the screen — you've found a misalignment. Note where the gap is: too small, too far, or both.
4. Sketch the fix. Could the target be larger? Could it be moved closer to where the user's pointer or thumb naturally rests? Even a 20% increase in size or repositioning to a scrollable edge can produce a meaningful reduction in acquisition time and error rate for the most important interaction in your product.