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Create your survey

Create your survey

Voice of the customer questions: best questions for product roadmap that drive actionable feedback

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Adam Sabla

·

Sep 10, 2025

Create your survey

The best voice of the customer questions shape product roadmaps that actually solve user problems.

Gathering meaningful customer feedback for your SaaS demands asking the right questions—and doing so at moments that matter most.

This guide lays out theme-based question lists for pain discovery, jobs-to-be-done, and value gaps, plus how AI-powered analysis can reveal insights that move your product forward.

Why voice of customer questions drive better roadmap decisions

If you care about building SaaS products your customers love, you need to listen deeply. Well-crafted voice of the customer questions are the compass guiding your roadmap toward what wins real users and retention.

AI-powered surveys are raising the bar: completion rates hit 70–90%, well above the 10–30% seen in vanilla form surveys. That’s a level of engagement you can’t ignore when fine-tuning a product roadmap for real-world impact. [2]

When you build surveys for feedback in your product, creating AI-powered conversational surveys opens up a world where people share richer stories—and you catch the edge cases no spreadsheet will.

Traditional surveys tend to miss nuances, capturing only the loudest complaints and generic feature requests. Even with scales and free-text boxes, respondents usually skip context—the “why” behind the feedback gets lost.

Conversational surveys invite a fresh kind of honesty. Respondents feel heard when follow-up questions dig deeper, probing for motivation, priority, and roadblocks—in real time. Modern AI survey builders turn a static NPS or “What should we build next?” into a running interview, surfacing gems you’d otherwise miss.

The right feedback questions tell you what features to build, what UX pain to fix, and—importantly—what ideas are better left on the backlog.

Problem discovery questions that uncover real customer pain

Everything starts with pinpointing the obstacles your customers face. The best questions tease out what’s breaking workflows, blocking outcomes, or causing frustration—context you won’t get from multiple choice alone.

Here are some high-impact VoC questions for SaaS problem discovery:

What's the most frustrating part of using our product for your daily work?

This question goes straight to the pain point. It asks users to name specific blockers rather than general issues. Answers reveal urgent problems you can validate or dig into further.

If you could wave a magic wand and fix one thing, what would it be—and why?

Magic wand questions open the door for creative, candid input. They highlight gaps that matter enough to your audience for them to wish away, often identifying buried issues.

Can you recall a recent time when our tool let you down or didn’t work as you needed?

This elicits concrete stories and context, giving you actionable detail on failure points—critical for building bug and UX improvement priorities.

What’s taking you the most time or effort when using our product?

Getting users to quantify effort helps you spot workflow inefficiencies or repetitive work—prime candidates for automation or refactoring in a SaaS roadmap.

How do you work around problems with our product right now?

Workarounds signal unmet needs and latent demand. Customers’ hacks showcase both fallout and new feature opportunities.

With automatic AI follow-up questions, your survey transforms from a static quiz into a dynamic conversation. The AI can probe for when, why, and how often a problem arises, or ask for specifics—amplifying context for every answer you receive.

Jobs-to-be-done questions that reveal why customers hire your product

The jobs-to-be-done (JTBD) framework reframes feedback analysis: you focus not on features, but on the actual progress customers’re trying to make. JTBD questions help you see what “job” your SaaS is being hired for—and uncover what makes people switch, stick, or churn.

What goal or task brought you to try our product in the first place?

This reveals user intent, showing you the original “job” behind signups. It’s essential for aligning new features to real customer motivation.

When do you feel our product really makes a difference for you?

This query uncovers moments of value and delight, guiding teams to amplify the true differentiators in your solution—fuel for product marketing, too.

What have you tried before for this task, and how did our product compare?

Comparison questions extract critical competitive insights. Understanding alternatives and switching reasons channels your roadmap energy where it matters most.

Can you describe a perfect experience when using our tool? What made it work for you?

Ideal journey descriptions highlight what “done right” looks like. These stories become north-star use cases your team can build toward.

What’s something you still can’t do, or wish took less effort, with our product?

This CTQ (critical-to-quality) question uncovers remaining friction—the next step in making your SaaS “hire-worthy” over alternatives.

JTBD questions unlock why features succeed or flop. They differ from feature requests by framing the “why” before the “what”—giving you a market-driven view of your backlog.

Progress over features: Your roadmap shouldn’t just ship more functionality. It should help customers achieve meaningful progress—a mission JTBD questions reveal with clarity.

Value gap questions to find your biggest opportunities

Sometimes, the fastest product wins aren’t fixing what’s broken—they’re delivering value your customers wish you had. Value gap questions shine a light on expectations, missed opportunities, and market gaps you can own.

What did you expect to get from our product that you haven’t found yet?

This direct prompt highlights mismatched marketing, missed features, or confusing onboarding—key for SaaS messaging and retention.

What’s the hardest thing to accomplish in your role that our tool doesn't help with?

By asking users about their role more broadly, you surface adjacent needs and expansion ideas for your roadmap.

If another tool promised a key benefit you’re missing, what would tempt you to switch?

This gets at vulnerabilities and competitive risks, showing you what would cause customers to churn or start searching elsewhere.

Which part of your workflow is still manual, even with our software?

Automation opportunities abound here; you’ll find inefficiencies that existing features could solve with smart tweaks.

How does your ideal solution look, and how close are we today?

This question tees up a gap analysis. Customer comparisons between your real vs. ideal solution pinpoint precise product improvements.

Current vs desired state: When you contrast what users have now with what they want, your biggest product opportunities jump out. AI-powered surveys excel here—intelligent follow-ups dig into these gaps automatically, with speed and nuance only possible through modern AI platforms.

Skipping value gap conversations means leaving easy wins and stickiness on the table. The richest SaaS opportunities are often just a few insightful questions away.

How AI analysis turns customer feedback into roadmap priorities

Gathering answers is only half the job—the real leverage is in extracting insights at scale. Sorting verbatim customer feedback by hand is painfully slow, especially as volume ramps up. That’s why AI feedback analysis is changing the game for SaaS product teams.

With AI-powered survey response analysis, tools like Specific cluster thousands of open-text survey answers into actionable themes within minutes. Not only does this save countless hours, but AI tools process customer feedback 60% faster than traditional methods and reduce interpretation errors by half. [4][9]

Here’s a quick look at the difference:

Manual analysis

AI-powered analysis

Slow, labor-intensive tagging

Instant theme clustering and summary

Human inconsistency and bias

Consistent theme detection, up to 90% accuracy [5]

Loses context across responses

Captures nuance in real conversation

Specific’s survey analysis uses AI “chats” to surface what customers need and lets product teams ask natural language questions about results—so you can dive into recurring pain points or quantify demand for roadmap ideas without exporting a thing.

Prompt ideas for analyzing your customer survey data:

What are the top three problems our users mention most? Which features should be prioritized based on frequency and impact?

This prompt clusters similar pain points and identifies which ones appear most, letting you prioritize your roadmap by real demand.

How do new customers describe their first impression and onboarding experience? Any consistent friction points?

This gives you a focused lens on onboarding—a frequent churn risk area for SaaS.

Which suggestions or needs are unique to our power users compared to regular users? Are there expansion themes?

Segmenting feedback with AI surfaces advanced use cases and growth levers.

AI analysis can analyze up to 1,000 customer comments per second and drive up to 15% higher NPS by ensuring issues move quickly from verbatim to action. [6][7]

Making voice of customer questions part of your roadmap process

One big worry for product teams: “Will more surveys just burn out our users?” The key is to balance depth with timing.

Best practices:

  • Don’t blast everyone—target high-value moments, from onboarding to feature launches.

  • Space out feedback asks (think quarterly deep dives, not constant popups).

  • Use response rates and completion stats to tune your frequency—the AI survey editor makes survey updates and tweaks painless.

Continuous feedback: Integrate short, conversational check-ins right after important product interactions. Ongoing signals beat big, infrequent surveys—and unlock micro-level opportunity discovery each release cycle.

Customer segments: Analyze responses from different groups (e.g., new vs. power users, churned vs. advocates). Targeted AI-powered surveys, like those enabled by Specific, easily segment users and compare their pains, jobs, and value gaps to help you target roadmap work for maximum impact.

Specific delivers a best-in-class, conversational experience, helping SaaS companies achieve premium completion rates (up to 90%) and deeper product insights—making every answer count on your path to product-market fit and great UX. [2]

Start gathering voice of customer insights today

Every product decision gets smarter when you ask the right questions, capture detailed context, and let the conversation flow naturally. Turn customer feedback into stronger roadmap bets—create your own conversational survey and see the difference for yourself.

Create your survey

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Sources

  1. Gartner. By 2025, 60% of organizations with VoC programs will supplement traditional surveys with analysis of voice and text interactions.

  2. SuperAGI. AI-powered surveys achieve 70-90% completion, versus 10-30% for forms.

  3. MetaForms. AI-driven surveys reduce abandonment rates to 15-25%.

  4. SEOSandwitch. AI tools process customer feedback 60% faster than traditional methods.

  5. SuperAGI. AI-powered sentiment analysis achieves up to 90% accuracy, compared to 60-70% for traditional methods.

  6. SEOSandwitch. Companies using AI in feedback analysis report a 15% NPS improvement.

  7. SEOSandwitch. AI can analyze up to 1,000 customer comments per second.

  8. SEOSandwitch. AI-powered

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.