Survey example: SaaS Customer survey about customer effort score (ces)

Create conversational survey example by chatting with AI.

This is an example of an AI survey for SaaS Customers, designed to measure Customer Effort Score (CES). If you want to see and try the example, check it out—no sign-up, just the real, working survey.

Anyone who’s created a SaaS Customer Customer Effort Score (CES) survey knows that building something effective is a real challenge. Traditional forms rarely get the insightful answers we want, and survey fatigue is real.

We've spent years perfecting conversational survey experiences at Specific. All the tools on this page are powered by Specific, setting the standard for engaging, actionable SaaS customer feedback.

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

Designing a SaaS Customer Customer Effort Score (CES) survey that actually tells you what your users are thinking is tough. Most traditional surveys feel cold and impersonal—they put all the burden on the respondent, leading to generic or rushed answers. AI survey generators have redefined that process, offering natural conversations that put people at ease and drive honest responses.

Conversational surveys act like a friendly chat instead of a form. The flow adapts, questions adjust, and users feel far less friction. But where traditional survey tools depend on pre-set routes and limited logic, an AI survey generator can instantly understand previous responses and personalize everything in real time. That’s a big leap for SaaS Customer CES surveys—one reason adoption is climbing fast.

Consider this comparison:

Manual Surveys

AI-Generated Surveys (Conversational)

Long, tedious forms.

Natural, intuitive chat experience.

Static questions. Few follow-ups.

Smart follow-ups adapted to each answer.

High abandonment (up to 55%).

Higher completion rates (up to 80%). [2]

Limited insights, hard to analyze.

Rich, detailed responses and instant AI summaries. [3]

Why use AI for SaaS Customer surveys?

  • AI survey example flows mirror how people want to share feedback—casual, but purposeful.

  • AI enables detailed probing, so you hear not just what customers say, but why they say it.

  • Surveys become more engaging, completion rates rise, and abandonment drops from as high as 55% with forms to just 15–25% with AI. [2]

With Specific, every aspect of the experience is tailored for maximum clarity and engagement. That means less friction for your SaaS Customers, and more accurate Customer Effort Score (CES) data for you. If you want to dive deeper into what questions make the best SaaS Customer effort survey, we've shared proven tactics in our question guide for SaaS Customer CES surveys.

Feedback feels smooth, personal—and the insights you get are genuinely useful to product and customer teams.

Automatic follow-up questions based on previous reply

The true magic of a conversational survey is in how it follows up. At Specific, our AI doesn’t just ask a list of questions—it actively listens and asks smart follow-ups, just like a great interviewer. When a SaaS Customer gives an answer, our AI evaluates the context, probes for details, and adapts its next question to fit the conversation. This is critical for Customer Effort Score (CES) surveys, where understanding why users found something easy or difficult unlocks real product insight.

Automated follow-ups replace guesswork for survey creators and endless email follow-ups for researchers. Say goodbye to missed clarifications that could have improved your product. Here’s how it plays out:

  • SaaS Customer: “It was pretty easy to resolve my issue.”

  • AI follow-up: “Glad to hear that! Can you share what made the process easy for you? Was there anything that could have made it even smoother?”

  • SaaS Customer: “It took a lot of steps.”

  • AI follow-up: “Could you walk me through the steps you took? Was there a specific moment that felt especially time-consuming or confusing?”

Without these follow-ups, you might end up with replies like, “It was okay”, which don’t tell you much—leaving you chasing clarification after the fact. If you haven’t tried it yet, see how automatic follow-up questions work and generate a survey. It's a different level of feedback.

These smart follow-ups make every survey a true conversation—a conversational survey in action, capturing richer insights effortlessly.

Easy editing, like magic

Editing a survey used to be a pain. Now, it’s as easy as telling the AI what you want and watching it work. With Specific, you simply type, “Add a follow-up about what was confusing” or “Make it friendlier for less technical customers”, and the survey is updated instantly. The AI does the heavy lifting (rewrites, sequencing, logic tweaks) so you can focus on what matters—clarity and relevance. This saves hours and makes iterating effortless. For a hands-on look, check out the AI survey editor in action.

Survey delivery options for SaaS Customer CES feedback

Getting the right feedback is only half the job—getting the survey to the right audience completes the loop. With Specific, you can:

  • Sharable landing page surveys: Perfect for sending post-interaction CES surveys by email, linking in chat, or sharing in customer communities. Easily reach SaaS Customers outside of your app—no code, just share the link.

  • In-product surveys: Best for gathering real-time feedback while customers use your SaaS. Ask about Customer Effort Score (CES) immediately after a key action, support chat, or transaction—getting context-rich answers you’d never get by asking “later”.

SaaS Customer Effort Score (CES) surveys often see the highest engagement with in-product delivery, since it captures authentic, recent experiences while still top of mind. But if you want broad reach or follow-up after a support ticket, landing pages are just as valuable.

Analyzing survey responses with AI

We built Specific to handle survey analysis as intuitively as survey creation. With our AI survey analysis tools, you get instant, actionable insights—summary, key themes, and sentiment, without sifting through spreadsheets. AI scans every answer, detects patterns, and lets you chat directly with GPT about your results. Wondering how to analyze SaaS Customer Customer Effort Score (CES) survey responses with AI? Here's a full walk-through of streamlined, automated survey insights. Less time crunching, more time acting on what your SaaS Customers actually need.

See this Customer Effort Score (CES) survey example now

Try the survey hands-on and see how effortless, conversational feedback leads to better insights. Experience Specific’s unique blend of AI-powered follow-ups, seamless editing, and powerful analysis—it’ll change the way you think about SaaS Customer CES surveys.

Try it out. It's fun!

Sources

  1. Scope Design. Customer Success Metrics: Revenue Growth & Forecast for 2025

  2. TheySaid. AI vs. Traditional Surveys: What's the Real Difference in Engagement and Data?

  3. arXiv.org. Conversational AI Agents in Survey Research: A Large-Scale Field Experiment

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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.