Create a survey about likelihood to recommend
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Generate a high-quality conversational survey about likelihood to recommend in seconds with Specific. Explore curated survey generators, templates, examples, and expert blog posts to level up your feedback game. All tools on this page are part of Specific.
Why use AI for surveys about likelihood to recommend?
Manual surveys just don’t cut it for actionable, real-world feedback. An AI survey generator for likelihood to recommend does the hard work—writing smart, unbiased questions, probing for deeper insight, and capturing data in a way that feels like a chat, not homework. Here’s how it stacks up:
Manual | AI-generated (Specific) |
---|---|
Static questions easily ignored | Adapts to every user’s answer for richer detail |
10-30% completion rates, high drop-off | 70%-90% completion rates, engaging like a real conversation [1] |
Requires tedious setup, tweaking, and manual follow-up | Instant creation, with built-in expert logic and automatic probing |
Why is this crucial for likelihood to recommend? If you’re measuring NPS or product loyalty, you want not only the score, but the “why?” That’s where AI’s dynamic, contextual follow-ups shine. With Specific’s AI survey maker, you can generate a survey about likelihood to recommend in seconds. The user experience is best-in-class—smooth for creators, genuinely conversational for respondents, and proven to reduce abandonment rates to as low as 15%-25% [2].
Ready to experience it? Check out the AI survey generator or dive into audience-specific survey templates tailored to your use case.
Writing effective likelihood to recommend questions
Getting actionable feedback starts with asking the right questions. Specific’s AI survey editor acts as your expert consultant, turning simple prompts into conversation-ready questions that actually work. Here’s how that looks in practice:
Don’t ask (bad & unclear) | Ask this instead (good & insightful) |
---|---|
Did you like our product? | On a scale of 0–10, how likely are you to recommend our product to a friend? |
Why was it bad? | What’s the primary reason for your score? |
Any other comments? | Is there anything we could do to make you more likely to recommend us? |
Specific’s AI survey generator understands context. It avoids vague (“like/dislike”) or biased (“bad/good”) phrasing, giving you clear and focused responses that lead to real business improvement. The system leverages expert knowledge, not just stock suggestions—so every survey guides users towards specifics, not guesswork.
With automated follow-up questions (see details below), you don’t have to manually craft every prompt or anticipate every reason a user might give. Want to improve your own surveys, even before using AI? Tip: Always clarify “why” behind a rating and avoid either/or or leading language. If you want to see how AI refines your survey, let Specific’s editor suggest improvements, or chat directly for on-the-fly changes.
Curious how follow-ups make responses even stronger? Scroll down to learn about Specific’s real-time probing.
Automatic follow-up questions based on previous reply
The magic happens when you go beyond static surveys: Specific’s AI listens to every response, then asks smart follow-ups in real time. It's like having a skilled user researcher inside your survey—automatically.
If someone gives you a 6/10 on likelihood to recommend, the AI might ask: “What held you back from rating us higher?”
If a respondent says “It works, but it’s slow,” the AI can follow with: “Could you share an example of when speed was an issue?”
If feedback is glowing (“10/10, love it!”), the AI asks what feature stands out, helping you spot your strengths.
Without follow-ups, you’re left with partial feedback—scores without reasons, generic comments, and less clarity on what truly matters. In traditional surveys, you’d need to email back or schedule an interview for more depth (if you even have the chance).
Specific’s automatic AI follow-up questions keep the conversation natural and pull richer, more actionable information from every respondent. With this approach, completion rates soar and response quality improves, as shown in studies where AI-powered chatbots elicit more detailed, clear, and relevant open-ended responses than traditional surveys [3].
Want to see what a modern, dynamic survey feels like? Try generating a likelihood to recommend survey and experience the difference first-hand.
No more copy-pasting data: let AI analyze your survey about likelihood to recommend instantly.
AI survey analysis: Instantly summarizes scores, open-ends, and explains underlying themes
Automated survey insights: Surfaces common reasons, pain points, and hidden gems across all feedback
AI-powered likelihood to recommend survey analysis: Just chat with AI about your results—ask about promoters, detractors, or what drives recommendations
No manual sorting, copy-pasting, or wrestling with spreadsheets
With Specific’s survey response analysis, you move from raw replies to strategic, actionable feedback in minutes—not hours. AI even lets you chat with your results, unlocking a whole new way to learn from your audience and act fast. For an even smoother experience, check out Specific’s conversational survey creation editor, where you can edit your surveys in natural language, or dive into AI survey feedback analysis for instant insights.
Create your survey about likelihood to recommend now
Get deeper, more relevant insights with real-time AI follow-ups, expert-crafted questions, and instant response analysis—all in one seamless conversational survey. Generate your best likelihood to recommend survey today and make your feedback process a breeze.
Sources
SuperAGI. AI vs Traditional Surveys: A Comparative Analysis of Automation, Accuracy and User Engagement in 2025
SuperAGI. AI Survey Tools vs Traditional Methods: A Comparative Analysis of Efficiency and Accuracy
arXiv.org. Evaluating Open-ended Conversational Surveys Conducted by Chatbots vs Traditional Questionnaires
