Treating index of difficulty as a single quality score is misuse
Aliases: single metric · Fitts's law misuse · usability metrics
What it is
Fitts's-law index of difficulty quantifies the motor burden of pointing to a known target. It is not an overall interface-quality score: low difficulty does not guarantee people can find or understand an action, trust its outcome, avoid a harmful error, or complete the wider task. Ranking whole interfaces with one geometric metric extrapolates the model.
Why it happens
Index of difficulty contains only distance and effective width, deliberately excluding semantics, architecture, feedback, waiting, accessibility, and consequence. It isolates a motor stage but cannot represent the rest. Optimising it alone can move or enlarge controls at the expense of hierarchy, density, or neighbour safety.
Studying it
Report difficulty alongside acquisition time, misses, search time, choice accuracy, task completion, and workload. Test external validity with task-level outcomes; if the metric improves while the full task does not, locate the cost shifted to another stage.
Where it stops holding
For a fixed, frequent pointing subtask, index of difficulty is a useful comparison scale. The problem is not computing it, but treating it as a universal judge beyond its object. Multi-metric work should still select outcomes relevant to the task and risk.
Applying it
- Include pointing difficulty in task review, alongside discoverability, label comprehension, accidental-activation consequence, feedback, and accessibility.
- State the exact subtask being optimised rather than assigning a page one “better” score.
- When a lower-difficulty change conflicts with another goal, decide through complete-task evidence and risk trade-offs, not automatic victory for one number.
Related
- Same group: B1.11.1 The law assumes rapid aimed movement; slow tracking and dragging are outside its scope · B1.11.2 Coefficients must be calibrated for device, limb, and population · B1.11.3 The law covers movement time, not target search or deciding where to click · B1.11.5 “Bigger buttons are always better” ignores finite layout area
- Nearby: B1.01 Fitts's law · B1.04 Hick-Hyman law
- Search terms:
index of difficulty·Fitts's law misuse·usability metrics
Cards in the same group
- B1.11.1The law assumes rapid aimed movement; slow tracking and dragging are outside its scope
- B1.11.2Coefficients must be calibrated for device, limb, and population
- B1.11.3The law covers movement time, not target search or deciding where to click
- B1.11.5“Bigger buttons are always better” ignores finite layout area