Survey example: SaaS Customer survey about feature adoption

Create conversational survey example by chatting with AI.

This is an example of an AI survey about feature adoption for SaaS customers. If you want to understand how real users experience your features and what drives adoption, see and try the example.

Building a great SaaS customer feature adoption survey is tough—traditional forms often fail to dig deep, and non-technical teams struggle to get responses that matter.

We built Specific to solve all the pain points of feature adoption research. Every tool here is crafted for real product teams who need actionable user feedback, not just numbers.

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

Most SaaS teams battle with low engagement and shallow answers from clunky old surveys. This is exactly why we believe in conversational surveys powered by AI.

Instead of static forms, a conversational AI survey feels like a helpful chat. Each question adapts in real time—so you avoid the usual drop-offs and get genuine detail about feature adoption.

The difference is real. While traditional surveys often see completion rates as low as 10% to 30%, AI-driven surveys now achieve completion rates between 70% and 90%—simply because the questions are more engaging and relevant to each SaaS customer [1]. That alone can multiply the value of every survey you run.

Manual Survey

AI-generated Conversational Survey

Static questions, one-size-fits-all

Dynamically adapts to each SaaS customer’s responses

High abandonment (40%-55%)

Lower abandonment (15%-25%) [2]

Responses often lack depth & context

Richer, more actionable answers—thanks to real-time follow-ups [1]

Manual creation and update process

AI builds, edits, and improves surveys on the fly [1]

Why use AI for SaaS customer surveys?

  • More and better feedback: Maximize your insights by capturing both quantitative and qualitative answers from every SaaS customer.

  • No survey fatigue: Personalized, real-time dialogs keep people engaged and reduce abandonment [2].

  • Speed to value: You can launch in minutes, not days, and Specific makes editing effortless.

We’re focused on providing the smoothest, most engaging conversational survey experience out there—everyone wins when SaaS customers feel heard, and teams quickly see what moves the needle. If you want to learn more about creating a feature adoption survey, see our guide on how to create a SaaS customer survey about feature adoption.

Automatic follow-up questions based on previous reply

Here’s where Specific’s approach flips the script. Our surveys use AI to ask thoughtful, on-point follow-up questions in real time, reacting to each SaaS customer’s answer just like an expert interviewer. That means richer context and honest, detailed responses—without following up later over email or Slack.

Consider what can happen without this:

  • SaaS customer: “The new dashboard could be better.”

  • AI follow-up: “Could you share what’s missing or what makes it less helpful for you?”

Without a follow-up like this, you’re left guessing—was it speed, usability, missing features…? Automated probing gets the truth, quickly, and naturally. See more about automatic AI follow-up questions.

This is a new standard for SaaS feedback. Play with the survey example—see how follow-ups feel, and notice the difference from the usual survey grind.

All those small follow-ups turn the process into a genuine conversation. This, at its core, is what makes it a true conversational survey.

Easy editing, like magic

Forget tedious forms or endless logic screens—Specific lets you edit your survey by simply chatting. Tell it, “Add a question about mobile adoption,” or “Make this question more casual,” and our AI survey editor updates everything immediately. No manual busywork, and no expert required: you can iterate and make changes in seconds, even during a live survey run.

Survey delivery: in-product or with a sharable link

You have complete control over how and when your feature adoption survey reaches your SaaS customers:

  • In-product surveys: Embed a conversational widget right inside your app or platform. This is perfect for capturing contextual feedback immediately after someone uses a new feature, or targeting specific user cohorts at the right moment in their journey.

  • Sharable landing page surveys: Launch a standalone survey anyone can access through a direct link—ideal for broader outreach via email campaigns, user communities, or feedback requests to users across platforms.

Both methods are just as easy to implement—pick what matches your audience and moment best. For feature adoption surveys, in-product is unbeatable, but for customer panels or wider research, landing pages shine.

See more use cases and product details in our overview of delivery methods: in-product conversational surveys and landing page conversational surveys.

Instant AI survey analysis

Once responses flow in, our AI survey analysis goes to work. You’ll see instant summaries, key themes, and actionable insights—no spreadsheets, no manual collation. The AI surfaces repeated issues, automatically detects important topics, and lets you chat live about feedback to dig deeper. This approach has dramatically increased efficiency for SaaS teams, making “analyzing survey responses with AI” part of their daily workflow [1]. Learn all about how to analyze SaaS customer feature adoption survey responses with AI—see why modern teams never want to go back.

See this feature adoption survey example now

Launch the AI survey example for SaaS customer feature adoption—see how fast, natural feedback and smart, context-aware questions help you discover what drives your users. Try it and experience the new gold standard for product research.

Try it out. It's fun!

Sources

  1. SuperAGI. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy, and User Engagement in 2025

  2. TheySaid. AI vs Traditional Surveys: Engagement and Abandonment Rates

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.