Selge for UX Researcher
Scale your research programme without scaling your calendar.
33%
of users hit confusion at the same onboarding step — in-app surveys find this
Unmoderated scale
20×
more users reached per week vs. moderated interview capacity
Scale your reach
6 wks
shaved off the average research-to-insight timeline
Always current
Onboarding friction diagnostic
After step 3 of 5 in onboarding
“The integration step lost me. I didn't know if I was supposed to do it now or if I could come back to it later.”
Why ux researcher teams fly blind without surveys
01
Moderated research misses silent majority users
Participants in research sessions are self-selected and aware they're being observed. They're not representative of your typical user.
Unmoderated on-site surveys reach real users during real sessions — no scheduling required.
02
There's always a backlog of questions you can't get to
Research requests pile up. You can cover maybe 20% of them with moderated sessions. The rest wait.
Micro-surveys handle lightweight research questions asynchronously. Save moderated research for complex problems.
03
Findings age out before teams act on them
Research reports published six weeks after fieldwork are fighting for relevance. Always-on surveys provide continuous, current signal.
Embed a survey, share the live results dashboard with stakeholders. Research becomes a living document.
Set it up once. Get answers forever.
Deploy targeted surveys
Set surveys to fire at specific steps, pages, or user segments. Reach the exact cohort you're studying.
Collect unmoderated at scale
Let surveys run continuously. Responses come in around the clock, no scheduling required.
Share live dashboards
Send stakeholders a link to the live results. Research becomes a continuous conversation, not a quarterly report.
Survey use cases for ux researcher teams
The right question, at the right moment, for the decisions your team actually makes.
01
Participant recruitment for studies
Ongoing — shown to active users across key pages
Ask: 'Would you be willing to spend 30 minutes helping us improve [product]?' Far cheaper and faster than panel recruiting, and you get real users.
02
Attitudinal data on key flows
After a user completes (or abandons) a core flow like onboarding, setup, or checkout
Ask: 'How easy was that?' (star or emoji scale) followed by 'What was the hardest part?' Measures perceived effort, not just task completion.
03
Discovery: understanding user goals
On homepage or landing pages — shown to new visitors within 30 seconds
Ask: 'What brought you here today?' Open text. Reveals the jobs-to-be-done behind a visit before they see your product.
04
Concept validation
On a prototype or feature preview page shown to beta users
Ask: 'Does this do what you expected?' or 'What would you call this?' Tests whether your mental model matches how users understand a feature.
What ux researcher teams measure
And how on-site surveys give each metric more signal and less guesswork.
Task completion confidence
Whether users feel they successfully accomplished what they came to do.
A post-task survey — 'Did you find what you were looking for?' — gives you a continuous usability signal without lab sessions.
Emotional response
How users feel after key interactions — confident, confused, frustrated, delighted.
An emoji-scale survey placed right after a critical flow captures emotional tone in the moment, not in a post-hoc interview.
Things you can do this week
Replace recruiting emails with an intercept
Add a survey to your product asking if users want to participate in research. You'll fill a study in days instead of weeks, with users who are actively engaged.
Pair every usability study with a survey
Run a micro-survey on the same flow you're studying. The survey gives you breadth (hundreds of users). The session gives you depth (one user, fully observed).
Ask about goals, not opinions
'What are you trying to do today?' gets you richer, more actionable data than 'How do you feel about our product?' Goals are concrete. Opinions are noise.
Start with an expert survey, not a blank page
Each template includes guidance on when to deploy it, what trigger to use, and what to do with the answers.
Analytics tells you where visitors came from. This tells you why they showed up — and what job they're trying to do right now.
When 55% prioritize one feature and your hero leads with another, you're selling the wrong thing to the right people.
When 35% of visitors are cross-shopping one competitor, you build a comparison page. This survey builds your competitive strategy with zero research budget.