50 Video Survey Questions for Every Stage of the Customer Journey

There’s a specific kind of honesty that happens on video that rarely appears in written surveys. When someone types “the onboarding was a little confusing,” they’re softening. When they describe the same thing on video, you see the specific confusion—what they tried, where they paused, how they felt about it. That nuance is the difference between a metric and an insight.

The challenge with video surveys is the question. Open-ended “tell us your thoughts” prompts produce long, meandering responses that are hard to analyze. Overly specific questions produce narrow answers that miss the texture. The questions below are designed to thread that needle—specific enough to get focused responses, open enough to surface unexpected insight.

Onboarding Questions (Days 1–30)

These questions capture the first-impression experience and surface friction that new users encounter before they’ve adapted to it or forgotten it.

1. “Walk me through what you did in your first session with [Product]. What were you trying to accomplish?”
2. “Was there a moment where you felt confused or stuck during setup? What happened?”
3. “What’s one thing you wish you’d known before you started using [Product]?”
4. “How did you figure out [specific feature] for the first time? What would have made that easier?”
5. “Describe the onboarding process in your own words to someone considering [Product].”
6. “What’s the first thing you successfully accomplished that made you think ‘okay, this is going to work’?”
7. “Is there anything in the onboarding that felt unnecessary or like it slowed you down?”
8. “How does starting with [Product] compare to other tools you’ve set up recently?”
9. “If you could change one thing about your first week with [Product], what would it be?”
10. “What question did you have during onboarding that you couldn’t find the answer to?”

Feature Adoption Questions

These questions target specific features—especially ones you’re trying to increase adoption of or ones where analytics show low usage.

11. “Tell me about the last time you used [Feature]. What were you trying to do?”
12. “Is there a feature you know exists but haven’t tried yet? What’s held you back?”
13. “Which part of [Product] do you use most? Why that one over others?”
14. “Walk me through your typical workflow when you [specific use case]. Where does [Product] fit in?”
15. “Is there anything you wish [Product] did that it doesn’t currently do?”
16. “What’s the most useful thing [Product] does for you that you didn’t expect when you started?”
17. “Describe a specific task [Product] makes significantly faster or easier for you.”
18. “Is there a feature you used once but stopped using? What happened?”
19. “How would your workflow change if [Feature] disappeared tomorrow?”
20. “What would make you use [Feature] more often than you currently do?”

Satisfaction and NPS Follow-Up Questions

Use these immediately after an NPS or CSAT score to capture the story behind the number—especially for promoters (who can become testimonials) and detractors (who can prevent churn).

21. “You gave us a [score]—what’s the main reason behind that score?”
22. “What would have to change for your score to go from a [current score] to a [target score]?”
23. “If a colleague asked you whether to try [Product], what would you tell them?”
24. “What’s been the most valuable part of [Product] for you in the last month?”
25. “Is there anything that’s been frustrating you that we should know about?”
26. “What’s one thing we could do that would make a significant difference for how you use [Product]?”
27. “On a recent day you used [Product], walk me through what you used it for and how it went.”
28. “What’s changed in how you work since you started using [Product]?”
29. “What’s your biggest concern about using [Product] going forward?”
30. “If you were evaluating [Product] today for the first time, what would make you choose us?”

Renewal and Expansion Questions

These questions are best asked 30–60 days before renewal—not at renewal, when the conversation is transactional. They surface unresolved problems and expansion opportunities while there’s still time to act.

31. “Looking back at the last [time period], what’s the biggest value [Product] has delivered for your team?”
32. “Is there a problem you expected [Product] to solve that it hasn’t fully solved yet?”
33. “Has your team’s use of [Product] grown, shrunk, or stayed the same since you started? Why?”
34. “Are there other teams or use cases within your organization that might benefit from [Product]?”
35. “What would have to be true for you to expand your use of [Product] in the next 6 months?”
36. “Is there anything about our relationship—support, communication, updates—that hasn’t met your expectations?”
37. “What’s one thing you haven’t gotten around to doing with [Product] that you’ve been meaning to try?”
38. “How has your team’s needs changed since you started using [Product]? Is [Product] keeping up?”

Churn Risk and Exit Questions

These questions are among the most valuable you can ask—and the least often asked well. Customers who have already churned or are about to churn will tell you things your satisfied customers won’t.

39. “What was the main reason you decided to stop using [Product]?”
40. “Was there a specific moment when you decided [Product] wasn’t working for you? What happened?”
41. “What did you try before giving up on [specific feature or workflow]?”
42. “What are you going to use instead? What does it do that [Product] doesn’t?”
43. “Is there anything we could have done differently that would have changed your decision?”
44. “If we fixed [the issue they raised], would you come back? What would that look like?”
45. “What would you tell someone considering [Product] based on your experience?”

Competitive and Win/Loss Questions

These are best collected from sales wins and losses—from customers who chose you over an alternative, and from prospects who chose an alternative over you.

46. “When you were evaluating options, how did you compare [Product] to the alternatives?”
47. “Was there a specific moment in the evaluation process that made your decision clearer?”
48. “What made [Product] stand out from the other options you considered?”
49. “Was there anything about a competing product that you preferred—and why did you still choose us?”
50. “What was your biggest concern going into the evaluation, and how was it resolved?”

Question Design Principles

The questions above follow several design principles that improve response quality. Apply these when writing your own:

Ask About Specific Past Behavior, Not General Opinion

“Walk me through the last time you…” yields a story. “What do you think of…” yields a preference statement. Stories give you evidence; preference statements give you noise.

One Question at a Time

Multi-part questions (“What did you try first, and what was the result, and would you do it differently?”) are common in written surveys and terrible in video surveys. The respondent either answers only the last part or tries to answer all three and loses coherence. Break every multi-part question into separate prompts.

Avoid Leading Language

“What did you love about the onboarding?” assumes they loved it. “Walk me through your first experience with onboarding” doesn’t. Leading questions get confirming answers; neutral questions get honest ones.

Acknowledge That Negative Feedback Is Welcome

Add to your video survey introduction: “We’re looking for honest answers, including anything that didn’t work well. The critical feedback is often the most useful.” Without this, respondents self-censor.

Limit Each Survey to 3–5 Questions

Completion rates for video surveys with 3 questions are dramatically higher than for surveys with 7–10 questions. Each question adds approximately 2–3 minutes of recording time. The first 3 questions yield disproportionate insight; questions 6+ often yield diminishing returns.

Analyzing Video Survey Responses

The challenge with video survey responses is volume—they’re richer than text responses, but you can’t skim them the way you can scan a list of typed answers.

The Review Protocol

• Use AI transcription (Otter, Whisper, or purpose-built tools) to generate text transcripts for all responses
• Code transcripts for themes the same way you’d code interview notes
• Flag video timestamps for specific moments—a customer’s expression when they describe a problem can carry more information than the words themselves
• Clip and catalog 15–60 second excerpts organized by theme for use in internal presentations and sales materials

Pattern Recognition at Scale

When you have 50+ video responses, individual review becomes impractical. AI analysis tools can identify common themes, sentiment patterns, and key phrases across large response sets. Use AI as a first pass—it tells you where to look. Humans do the final interpretation.

FAQs About Video Survey Questions

How long should a video survey response be?

Set a suggested length of 2–3 minutes per question. Don’t enforce a hard limit—some customers will be more detailed, and that detail is valuable. Do set a minimum of 30 seconds; responses shorter than that typically don’t give you enough to work with.

When should I use video survey questions vs. written survey questions?

Use video when you want nuance, story, or emotional context—especially for qualitative discovery, testimonials, or churn analysis. Use written when you need scalable measurement, frequency data, or responses from users who won’t take 10 minutes to record a video. The most powerful research programs use both: quantitative written surveys for measurement, qualitative video questions for understanding.

How do I increase response rates for video surveys?

The four main levers: ask the right person (high-NPS, high-engagement, milestone-triggered), at the right moment (peak satisfaction, not arbitrary schedule), with a specific framing (tell them exactly what questions they’ll answer and how long it takes), and with low-friction technology (record in-browser, no account required). Addressing all four typically moves response rates from under 5% to 20–30%.