Survey example: SaaS Customer survey about customer satisfaction (csat)
Create conversational survey example by chatting with AI.
This is an example of a conversational AI survey about customer satisfaction (CSAT) for SaaS customers. Ready to see and try the example yourself?
Most SaaS teams struggle to create surveys that truly engage users and capture valuable feedback—traditional forms often get you vague, incomplete data.
Every survey tool on this page is built by Specific—we’re here so you can effortlessly create, customize, and analyze smarter, more engaging surveys.
What is a conversational survey and why AI makes it better for SaaS customers
Traditional SaaS customer satisfaction surveys usually end up as clunky forms that your users don’t want to fill out. We’ve all seen how low response rates and generic answers make it hard to act on the results. With advances in AI, there’s a better way: conversational AI surveys crafted specifically for SaaS customers, delivering the engagement and depth you need for real action.
Instead of static forms, an AI survey example lets the whole process feel like a natural chat. This approach doesn’t just save you time—it actually results in much richer, more specific answers. A recent field study with about 600 participants found that AI-powered conversational surveys generated responses that were more informative, relevant, specific, and clear compared to traditional forms [1]. The difference isn’t minor: people engage more deeply and you get real insights that shape your product roadmap.
Let’s quickly compare how the process feels for you and your users:
Manual Survey Creation | AI Survey Generation (with Specific) |
---|---|
Hours spent writing and editing questions | Minutes to build expert-level surveys by chatting about your needs |
Flat, generic survey experience | Conversational—adapts to user, asks smart follow-ups |
Low engagement, sparse data | Users enjoy the chat, give more thoughtful responses |
Why use AI for SaaS customer surveys?
Better data: AI understands context and knows when to dig deeper, maximizing every customer interaction.
Higher engagement: Research shows that users prefer chat-based surveys and deliver more details[2].
Easy survey design: Using an AI survey builder, you explain what you want—the AI does the rest.
Specific offers the best-in-class user experience for conversational surveys—making the feedback process smooth and engaging for SaaS teams and their users. You can see how it works for customer satisfaction in this survey example, or try creating any other survey from scratch.
Automatic follow-up questions based on previous reply
This is what makes our AI survey example for SaaS customer satisfaction fundamentally different: Specific’s AI listens to each reply, then asks the perfect follow-up, in real time, to uncover the full context—like a skilled researcher, but without the manual hassle. We’ve seen that letting AI shape the conversation leads to richer insights and a more natural survey experience.
Without smart followups, responses often lack clarity and actionable detail. Consider:
SaaS customer: “It’s okay, but could be better.”
AI follow-up: “Thanks for sharing! Can you tell me which features you feel need improvement, or something that could make using our product better for you?”
With traditional surveys, you’re left following up over email or simply guessing at the meaning—inefficient and frustrating. Automating this step saves time and gives you the whole story right away. It’s a radical boost compared to fixed-form surveys, which leave key issues unexplored. Try generating a survey yourself and see how this unfolds—nothing beats seeing an AI adapt the conversation in real time. For a deep dive on how this works, check our guide to automatic AI follow-up questions.
Followups like these turn every survey into a natural conversation. That’s what makes it a true conversational survey.
Easy editing, like magic
With Specific, editing your SaaS customer satisfaction survey is as simple as chatting. Just tell the AI editor what you want to change, and it instantly updates your survey—no need to wrestle with forms, logic, or endless option toggles. Want to add a question, change the tone, or refine a follow-up? It takes seconds, not hours, and the AI brings its expert-level know-how into every edit. See how easy this is with our AI survey editor.
Deliver surveys via landing page or in-product widget
The best AI survey example for SaaS customer satisfaction is the one your users actually see and answer. With Specific, you can:
Sharable landing page surveys: Perfect for sending surveys over email, links in newsletters, or posting in customer communities. Great when you want feedback from a large group with minimal setup.
In-product surveys: Show surveys directly inside your SaaS product, right at the moment users finish a key action or encounter an issue. This delivery method gets exceptionally high engagement and context-rich responses—ideal for understanding satisfaction at pivotal product moments.
For deep customer satisfaction insights, in-product delivery often works best—customers are already engaged and ready to share relevant feedback in the context of their real experience. Learn more about which approach fits your use case in our guide to creating SaaS customer satisfaction surveys.
Analyzing survey responses with AI
Once SaaS customer responses start coming in, Specific’s AI survey analysis tools instantly summarize responses, surface common themes, and transform raw feedback into actionable insights—so you spend less time wrangling data and more time improving your product. No spreadsheets or manual review required.
Automatic topic detection finds the patterns that matter, and you can chat directly with the AI about your survey results for custom insights—unlocking a whole new way to drive your roadmap. Learn more about how to analyze SaaS customer satisfaction survey responses with AI or dive into the details of our AI-powered analysis feature.
See this customer satisfaction (csat) survey example now
Try the conversational survey example to experience richer feedback and instant AI-powered insights—see what a modern SaaS customer satisfaction survey can really do for your team.
Related resources
Sources
arxiv.org. Field study: AI-driven chatbots elicit richer, clearer responses than traditional surveys.
arxiv.org. Research: Users engage more deeply and provide more thoughtful answers in conversational formats.
techradar.com. Integrating AI and NLP in surveys improves data quality and actionable insights.