How much effort did it take to understand the analytics? Product Survey Question
Measure how intuitive your analytics are for users and identify friction points that could be preventing data-driven decisions and feature adoption.
Question type
Rating scale 1-7
Primary metric
Answer scale variations
| Style | Options |
|---|---|
| Typical choice | Very difficult Difficult Somewhat difficult Neutral Somewhat easy Easy Very easy |
| More emphatic | Extremely hard to understand Very hard Hard Moderate Simple Very simple Extremely simple |
| Clarity-focused | Completely confusing Mostly confusing Somewhat confusing Neither clear nor confusing Somewhat clear Mostly clear Completely clear |
Follow-Up Questions
Understanding how much effort users need to grasp your analytics reveals crucial UX friction points. These follow-ups help you identify specific barriers and improvement opportunities that raw effort scores alone can't show.
This open-ended question captures the specific elements that influenced their experience, whether it's terminology, visual design, data organization, or something else entirely.
Pinpointing the specific component causing confusion lets you prioritize improvements where they'll have the most impact on comprehension.
Understanding preferred learning methods helps you design onboarding that matches how users actually want to consume information about your analytics.