A research method that surveys users in-context — typically via an intercept survey as they visit a product — to capture their genuine goal in that session. By comparing what users say they came to do with what analytics shows they actually did, true intent studies reveal mismatches between user expectations and product structure that behavioral data alone cannot explain.
Common contexts
- Discovering that 40% of homepage visitors are looking for customer support, not the product features the page promotes
- Identifying a segment of users who arrive to complete a task the product doesn't actually support well
- Triangulating session recordings with stated intent to explain a counterintuitive drop-off in analytics
Use when
Use a true intent study when your analytics show unexpected behavior — high exit rates, unusual navigation paths, or low conversion — and you can't explain it from behavioral data alone. The intercept survey catches users in the moment their intent is freshest, before frustration rewrites their memory of the session.
Avoid when
Avoid true intent studies when your site traffic is too low to generate statistically meaningful responses quickly — a small sample of intercept responses on a low-traffic site may take weeks to accumulate and will reflect only the most motivated visitors, not a representative cross-section.
The most valuable output of a true intent study is the task that appears frequently in user responses but doesn't exist anywhere in your product roadmap — that gap is a product strategy finding, not just a UX finding.
Real-world examples
- GOV.UK runs a continuous true intent survey on a random 2% sample of their 60 million monthly visits, asking 'what did you come to do today?' — producing a live map of user intent that drives content prioritisation.
- Amazon runs true intent intercepts on their homepage to understand why users are visiting (browse, specific search, track order, returns) and uses this data to weight personalisation features in their A/B testing programme.
- Nielsen Norman Group recommends true intent studies over post-task surveys because they capture users' actual goals before task performance biases their self-report — the difference between 'what did you want to do?' and 'did you succeed?'