Survey example: SaaS Customer survey about reporting needs

Create conversational survey example by chatting with AI.

This is an example of an AI survey about Reporting Needs for SaaS customers—see and try the example now. If you want to see how to make your Reporting Needs survey more conversational and effective, give it a spin.

It’s a challenge for product teams to create SaaS customer reporting needs surveys that get real engagement and rich feedback—especially in the fast-paced world of B2B SaaS.

At Specific, we know just how critical it is to ask the right questions and gather insights you can actually use. All survey tools and examples you find here are from Specific, a recognized authority in conversational, AI-powered surveys for SaaS.

What is a conversational survey and why AI makes it better for saas customers

We’ve all sent out a SaaS customer feedback survey only to scratch our heads at a lackluster 10% response rate, or sift through half-baked answers that leave us guessing. This is a common pain: static, clunky survey forms just don’t cut it when you want real insight about your users’ reporting needs.

A conversational survey, powered by AI, changes the game. Instead of rigid, pre-set questions that never adapt, an AI survey dynamically asks relevant follow-ups based on your customers’ replies. This feels more like a natural conversation—and it works.

AI-driven survey tools have been shown to boost survey completion rates to 70–90%, compared to the typical 10–30% of old-school forms. That’s no small jump: it means you get more—and richer—feedback, simply by making the experience smarter and more human [1][2].

Manual Survey Creation

AI-Powered Conversational Survey

Generic, static questions

Adapts to each response in real-time

Low engagement, frequent drop-off

Higher engagement, more completed surveys

Hours (or days) to build and edit

Survey built and launched in minutes

Manual follow-up to clarify responses

Automatic, context-aware follow-up Q&A

Why use AI for SaaS customer surveys?

  • AI survey generators rapidly deliver expert-quality questions tailored to asking about reporting needs in SaaS. No need to start from scratch or worry about what to ask.

  • They instantly analyze respondent behavior, making each conversation more personal and engaging for real SaaS users—resulting in better data for your team.

  • With adaptive follow-ups and a smooth chat-like interface, survey abandonment drops dramatically as the experience feels seamless—just like chatting with a product specialist.

  • AI slashes the time to review and act on survey results, because it doesn’t just collect feedback; it helps you analyze SaaS customer reporting needs survey responses with AI in real-time.

Specific makes the feedback process smooth and rewarding for everyone. The AI-driven interface isn’t just intuitive for survey creators; it’s enjoyable for SaaS customers—not another chore. You can see what questions make sense for this use case in our article on best questions for a SaaS customer reporting needs survey.

Automatic follow-up questions based on previous reply

Specific’s AI doesn’t just stop at your initial questions. It smartly follows up based on a SaaS customer’s previous replies—digging deeper to clarify, fill gaps, and reveal what truly matters for their reporting needs. You get richer, more nuanced feedback, and your users never feel like they’re talking to a robot.

The magic is in the context-aware conversation. Here’s what happens if you don’t have this:

  • SaaS customer: “Reporting is fine, but could be better.”

  • AI follow-up: “Can you share a specific example where the current reporting falls short or frustrates your workflow?”

Without smart follow-ups, you’re left guessing—or forced to follow up manually over email, which nobody likes. This approach saves everyone time and encourages more natural, honest sharing. Check out how follow-ups work in detail on our automatic AI follow-up questions feature page or generate a survey and watch the conversation unfold for yourself.

With these real-time, contextual probes, the survey isn’t just a form—it’s a genuine conversation.

Easy editing, like magic

Our AI survey editor lets you edit your SaaS customer reporting needs survey in seconds, just by chatting. Tell the AI what to tweak (add a question about dashboard exports, reword for clarity, change tone)—and it’s done instantly, pulling from deep topic knowledge and best practices. There’s no hunting through menus or worrying about structure; the smart editor handles everything, so you can focus on what matters. Check out the AI survey editor to see how easy it is.

Flexible survey delivery for SaaS customers

Your reporting needs survey should go where your SaaS customers are. With Specific, that means:

  • In-product surveys—perfect for collecting feedback directly inside your app, at the exact moment a customer interacts with reporting features. Want to know how a new dashboard is working, or why users ignore certain reports? Trigger a targeted in-app survey and get answers fast.

  • Sharable landing page surveys—send a link by email, Slack, or your help desk to reach SaaS customers outside the product. Great for broader feedback initiatives or users who aren’t currently logged in.

Both methods make it easy to meet your users where they are, with minimal friction. Choose the approach that fits your workflow or combine both for the widest reach.

AI-powered analysis: insights without spreadsheets

When survey responses start rolling in, the magic continues. Specific’s AI survey analysis goes way beyond basic charts. The AI instantly summarizes open-ended answers, detects key topics, and highlights themes across all responses—so you don’t need to wrangle spreadsheets or manually tally comments.

With AI-driven topic detection and smart summaries (accuracy up to 90% [3]), you get patterns and actionable insights fast. And thanks to the chat interface, you can interact directly with the AI to dig deeper, as discussed in our guide on how to analyze SaaS customer reporting needs survey responses with AI. It’s a huge step up from traditional, static reporting workflows—especially when you need to move quickly and make decisions with confidence.

See this reporting needs survey example now

Ready to experience how a true conversational survey works? Try this SaaS customer reporting needs survey example—see how AI-powered follow-ups deliver context, and discover the fastest path to actionable insights for your team, with almost no effort required.

Try it out. It's fun!

Sources

  1. skeepers.io. What’s the industry standard for survey response rate?

  2. superagi.com. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025

  3. superagi.com. AI Survey Tools vs Traditional Methods: A Comparative Analysis of Efficiency and Accuracy

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.