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User interview questions ux: best questions for onboarding ux that reveal real user experience

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Adam Sabla

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Sep 11, 2025

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The best user interview questions UX teams ask during onboarding can make or break your product's first impression. If you want to truly understand new users’ onboarding experiences, you need to ask the right questions at the right moments, not just gather generic feedback.

This article digs into essential questions for first sessions, aha moments, and friction points—plus, you’ll see how conversational surveys powered by AI make every interview more insightful. Let’s explore the questions and timing strategies that drive real onboarding improvements.

First-session questions that reveal user expectations

First impressions matter—a lot. Getting onboarding right in the very first session means users are far more likely to stick around, try more features, and reach their goals. According to UX research, nearly 80% of users decide if a product is right for them after the first use, making that initial feedback vital [1].

Asking targeted, open questions uncovers how users perceive your product and what they expect from it. Here are a few of my favorite essential first-session prompts:

  • "What brought you to [product] today?" – You’ll uncover their immediate intent and backstory.

  • "What are you hoping to accomplish in your first session?" – This clarifies their short-term goals.

  • "How does this compare to what you expected?" – Useful for highlighting any gaps between your messaging and the real experience.

With AI-driven interviews, vague answers get automatic follow-up: the bot can instantly ask, “Can you give me an example?” or “What made you expect something different?” That’s one reason conversational surveys capture richer insights: responses aren’t left shallow, and users feel like they’re chatting, not filling forms. AI-powered chatbots boost response times by up to 70%, increasing user engagement [1].

Want to launch a first-session onboarding survey that grows as users respond? Here’s an example prompt you can use for the AI survey generator:

“Create an onboarding survey for new users focusing on their motivations, expectations, and first impressions. Ask what brought them in, what they're hoping to achieve, and if the experience matches their expectations. Proactively follow up on vague or generic responses.”

Capturing the aha moment: questions that measure value discovery

The “aha moment” is that point where a user suddenly gets your value—they realize something about your product genuinely helps them. If you want more happy, engaged users, you need to pinpoint where and why that happens.

Here are key questions for distilling when the lightbulb goes off during onboarding:

  • "What feature or aspect just clicked for you?" – Reveals specific breakthrough moments.

  • "When did you realize how this could help you?" – Identifies value realization and practical benefit.

  • "What would you tell a colleague about this product?" – Surfaces the perceived value in language users naturally use.

What makes AI powerful here is the way it immediately follows up with “why?” and “how?”—helping you map the emotional journey from uncertainty to understanding. Because these insights often surprise even experienced UX teams, unlocking aha moments leads directly to better onboarding flows.

Wondering how traditional surveys and AI-driven conversational surveys stack up for discovering these insights? Here’s how they compare:

Survey type

Depth of insight

User experience

Follow-up capability

Response rate

Traditional surveys

Basic, mostly surface-level

Often static, feels like a form

Manual, rarely adaptive

Moderate

Conversational AI surveys

Deep, contextual, emotional

Conversational, natural and engaging

Automatic, real-time probing

Up to 25% higher [4]

If follow-up is crucial for your research (and it is), AI-powered conversational surveys offer a clear advantage—more relevant responses, higher engagement, and fewer missed insights [2].

Friction-finding questions that uncover onboarding barriers

Spotting friction points early in onboarding can prevent your users from bouncing before they see your value. Most drop-off happens when users get stuck, feel confused, or don’t see what to do next. Nailing these moments is non-negotiable for retention.

Some of the best user interview questions for surfacing onboarding barriers include:

  • "What's been confusing or unclear so far?" – Reveals areas where support or UI tweaks are needed.

  • "Where did you get stuck or have to think twice?" – Pinpoints friction in navigation or information architecture.

  • "What's missing that would help you get started?" – Exposes gaps in content, prompts, or features.

  • "What almost made you give up?" – Unearths the critical barriers that might cost you future users.

AI follow-up logic can dig into specifics—“Tell me more about where you got stuck” or “What would have helped in that moment?”—without making people feel grilled. In my experience, users are far more likely to open up when a chatbot uses a conversational tone.

I’ve found that Specific’s chat interface leads people to share frustrations more honestly, improving both quantity and quality of data. In a study with 600+ participants, conversational surveys got far more specific and relevant answers [2].

Here’s an example prompt for building a friction-discovery survey:

“Draft an onboarding survey that uncovers points of confusion, areas where users hesitated, and anything missing that would have helped them get started. Add probing follow-ups for each friction point identified.”

Perfect timing: when to trigger onboarding surveys

When you ask onboarding questions matters just as much as what you ask. Mistimed surveys can feel spammy and kill engagement, while well-timed ones capture feedback when it’s most actionable.

Here are timing and targeting strategies I recommend for in-product conversational surveys:

  • Day 1 surveys: Trigger right after users complete their first key action (about 5-10 minutes into the session). This is when first impressions are clearest.

  • Week 1 check-ins: Target users who return two or three times—now they’ve seen just enough to share meaningful feedback.

  • 30-day milestone: Survey users who stayed active for a month, focusing on their entire onboarding journey retrospectively. This uncovers the reasons behind their commitment.

I also love event-based triggers—fire a survey when someone discovers a core feature, after a failed action, or right after they use support. Frequency controls matter: don’t over-survey in the first days, or users will disengage.

When using in-product survey widgets, you can dial in both the “who” and the “when”—based on user events, pageviews, or time spent. AI makes these touchpoints feel like natural check-ins, not interruptions, which is why they achieve higher response rates [4].

The best insight comes when feedback is fresh—right after users experience delight or get stuck, not hours later. That’s how you turn feedback into rapid UX improvements.

From insights to action: analyzing onboarding feedback

Collecting onboarding feedback is valuable only if you can quickly turn raw insight into improvement. The fastest way? Let AI spot patterns across dozens or hundreds of user interviews—while you focus on action.

AI-powered survey response analysis can automate what used to take hours:

  • Groups similar friction points and “aha” moments so the biggest trends stand out

  • Highlights unexpected feature use cases or user expectations

  • Surfaces subtle emotional patterns in the onboarding journey

With Specific, you can literally chat with the AI about your survey responses. For example, get instant insight by asking:

“What common blockers prevent new users from finishing setup?”
“Which features do new users mention as most valuable in their first week?”

“Where do people feel most confused or overwhelmed during onboarding?”

I love being able to spin up multiple analysis threads—segmenting by new users, power users, or even by persona. That’s how you see root causes (not just symptoms) across the user journey. AI analysis turns cumbersome raw feedback into clear, prioritized improvements, with processing speeds up to 60% faster than manual methods [3].

Ready to transform your onboarding experience? Start asking the right questions today and turn first impressions into lasting engagement. Create your own onboarding survey with Specific—great onboarding starts with understanding your users’ journey.

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Sources

  1. WeAreTenet.com. UX statistics and the importance of first impressions

  2. Arxiv.org. Conversational surveys: improved response data compared to traditional forms

  3. SEOSandwitch.com. AI accelerates insight and improves survey response rates

  4. SEOSandwitch.com. Personalization in AI-powered surveys increases effectiveness

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.