Survey example: Ecommerce Shopper survey about reviews and ratings usefulness

This is an example of an AI-powered survey about reviews and ratings usefulness for ecommerce shoppers—see and try the example.

We all know it's hard to get candid, high-quality feedback from ecommerce shoppers about how much they trust and use reviews and ratings, instead of just getting vague or off-topic responses.

All the tools you see here—survey creation, editing, follow-ups, and analysis—are part of Specific, the platform leading the charge in making conversational research effortless and accurate.

What is a conversational survey and why AI makes it better for ecommerce shoppers

Gathering honest, actionable insights from ecommerce shoppers about reviews and ratings is tougher than it looks. Shoppers get survey fatigue, skip questions, or don’t go beyond single-sentence replies. And yet, 93% of consumers say that online reviews influenced their purchase decisions [1]—so the details really matter when you’re studying their behavior.

Here’s where AI-powered, conversational surveys change the game. Instead of a stiff, static form, an AI survey example like this guides the shopper through a natural, chat-like conversation. This method is proven to increase participation and gather richer, more candid answers. Building a great survey doesn’t have to take hours or require expert research skills anymore.

Why use AI for ecommerce shopper surveys?

• More shoppers answer, and with higher quality feedback.

• You get to the “why” behind their actions—not just the “what.”

• AI can spot confusion or ambiguity and ask for clarification on the fly.

This AI survey example leverages Specific’s best-in-class conversational survey experience so that answering (and building) feels easy, not like a chore.

Looking for inspiration on survey questions? See our guide on the best questions for ecommerce shopper surveys about reviews and ratings usefulness or explore how to create surveys like this for ecommerce shoppers.

Automatic follow-up questions based on previous reply

Specific’s AI doesn’t just present a list of questions; it listens to the shopper’s answer, then responds with an on-the-spot follow-up—digging deeper, clarifying details, or teasing apart contradictions in real time. This is a key innovation in conversational survey design: the AI feels more like a thoughtful interviewer, not just a script.

Why does this matter? It saves you hours chasing participants for clarification, and ensures that the insights you collect are actually usable. Instead of collecting messy, ambiguous data, the survey follows up for you.

• Ecommerce shopper: “Most reviews seem pretty good.”

• AI follow-up: “Can you remember a time when the reviews you trusted didn’t match your experience?”

• Ecommerce shopper: “I don’t really read reviews much.”

• AI follow-up: “Is there something about reviews that makes them unhelpful or hard to trust for you?”

If there’s no follow-up, responses stay surface-level—so you miss why 62% of consumers found products didn’t meet expectations despite high ratings [4]. Want to see this new followup dynamic in action? Try generating your own survey and see how each question feels like a conversation, not an interrogation. Or learn more about this breakthrough capability in our AI follow-up questions feature guide.

With follow-ups, your survey becomes a true conversation—so you actually learn from your respondents, not just collect data.

Easy editing, like magic

Change anything about your survey—tone, question flow, even detailed logic—simply by chatting your request. Specific’s AI survey editor does the heavy lifting. You tell it, “Make this sound friendlier,” or “Add a question about fake reviews,” and it edits in seconds—with expert-level phrasing. No rebuilding from scratch, no manual rewriting.

This means survey tweaks, tests, and improvements are so much faster. If you want to start from scratch or customize everything, check out our AI survey generator tool for building your own survey, any topic, any audience.

Survey delivery: landing page or in-product

Your AI survey example can go live the second it’s ready—and you have total flexibility in how you deliver it. For ecommerce shopper research on reviews and ratings usefulness, both delivery modes shine:

• Sharable landing page surveys: Great for sending via email, sharing in customer communities, or posting after a purchase. Perfect if you want broad feedback or are running a large study about shopping trust signals.

• In-product surveys: Drops right into your ecommerce app/site as a small chat widget. Super effective for capturing feedback right after shoppers see, use, or interact with reviews—so their memory is fresh. Ideal for understanding why people hesitated or what made them trust (or distrust) product ratings as they shopped.

For this topic, in-product delivery ensures you get opinions at the moment of truth—when purchase decisions are still top of mind. Want a walkthrough? See our dedicated pages on in-product conversational surveys and landing page conversational surveys for more use cases and details.

AI survey analysis: insights in seconds

Once responses start coming in, the real magic starts. AI-powered survey analysis in Specific instantly summarizes responses, finds key themes, and surfaces actionable takeaways—no spreadsheets, manual coding, or waiting for a research team. Features like automatic topic detection and direct chat with AI about results take you way beyond charts or raw data. Want to see how this works? Check out this deep-dive on how to analyze ecommerce shopper reviews and ratings usefulness survey responses with AI.

Analyzing survey responses with AI means you spot trends (like that 79% of shoppers want businesses to respond to reviews [7]) and act faster—because insight should never be the bottleneck.

See this reviews and ratings usefulness survey example now

Ready to see firsthand how an AI survey example built for ecommerce shoppers works? Try it out and experience how conversational surveys deliver nuanced, actionable insights—powered by Specific’s AI, expert templates, and breakthrough follow-up logic.