Your analytics dashboard shows that 40% of users leave at step three of onboarding. That's useful. It doesn't tell you why they left. Was the step confusing, or was something broken? To fix it, you need both the numbers and the reasons.
What Analytics Tells You
Product analytics shows behavior. You can see which screens users visit and where they stop. Funnels make drop-off points easy to spot.
Where analytics falls short
Behavior data can't explain intent. A user who leaves a page might be confused or just finished. Two users with the same clicks can have completely different experiences. Teams that rely only on dashboards often fix the wrong thing. They redesign a screen when the real issue was a confusing email that sent users there.
What In-App Surveys Tell You
A short survey at the right moment captures the reason behind the behavior. Ask one question when a user abandons a step or closes a feature. Their answer explains what the numbers can't. Timing matters. Ask within seconds of the drop-off, while the user still remembers what happened.
Fewer people speak up than you think
Qualtrics' 2025 study of how consumers share feedback found that only 32% of people with a bad experience told the company directly. If you wait for users to email support, you'll hear from a small slice. In-app prompts make speaking up easy.
Where versus why
Analytics
- Shows behavior
- Which screens users visit and where they stop
- Can't explain intent
In-app surveys
- Capture the reason behind the behavior
- One question when a user abandons a step
- Explain what the numbers can't
Use Them Together
Here's a simple way to combine the two:
- Use analytics to find the step with the biggest drop-off.
- Trigger a one-question survey for users who leave at that step.
- Group the answers by theme to find the main reasons.
- Fix the top reason and watch the drop-off rate.
Target the survey carefully
Only show the survey to users who hit the problem. Asking everyone adds noise and annoys people who had no trouble. Limit how often any user sees a survey, such as once a month at most. Keep the question open, such as asking what stopped them. Multiple-choice options can steer people toward answers you already expected.
Use them together
- Find the biggest drop-offUse analytics to find the step
- Trigger one questionFor users who leave at that step
- Group answers by themeTo find the main reasons
- Fix the top reasonAnd watch the drop-off rate
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Close the Loop
When you fix a drop-off point, check the funnel again. If drop-off falls and survey complaints fade, the fix worked. If not, read the new answers to find what's still wrong.
Baymard Institute's research shows how small issues add up. Among online shoppers who abandoned a cart for a reason, 17% said checkout was too long or complicated. Another 17% hit website errors. Those are exactly the problems a well-placed survey can surface.
Share both views with your team
Show product teams the funnel and the quotes side by side in the same report. The numbers show the size of the problem. The quotes show what to fix. Together, they make a much stronger case for prioritizing the fix. Our guide to onboarding feedback in the first 30 days covers one of the most common drop-off points. Our post on finding hidden UX bugs explains how to read feedback for broken flows. You can pair feedback with usage in CSAT analysis, or book a demo.
- 32%with a bad experience told the company directlySource: Qualtrics, 2025
- 17%of cart abandoners said checkout was too long or complicatedSource: Baymard Institute
- 17%of cart abandoners hit website errorsSource: Baymard Institute
Figures as cited in this article
Frequently asked questions
What's the difference between analytics and in-app surveys?
Analytics shows what users do. In-app surveys capture why they did it.
Which should you use first?
Use analytics to find where users drop off, then use surveys to learn why.
How long should an in-app survey be?
One question, ideally with an optional comment box.
Who should see the survey?
Only users who hit the step or problem you're investigating.
How do you know a fix worked?
Drop-off should fall in your analytics and related complaints should fade in survey answers.
Can surveys annoy users?
Yes, if you show them too often. Limit how often each user sees a survey.
