How to create conference participants survey about likelihood to recommend

This article will guide you on how to create a Conference Participants survey about Likelihood To Recommend. With Specific, you can generate a quality survey in seconds—no friction, just insights.

Steps to create a survey for Conference Participants about likelihood to recommend

If you want to save time, just generate a survey with Specific—honestly, it’s that simple. But here’s how it works for semantic surveys:

1. Tell what survey you want.

2. Done.

You really don’t even need to read further. Thanks to AI, your survey comes with expert-level questions, tuned to your needs, and even dynamic follow-up flows that extract actionable insights from each respondent. It’s a step above manually piecing forms together—or you can compose any survey from scratch using chat. That’s the future.

Why survey conference participants about likelihood to recommend?

If you skip gathering feedback from your conference participants, you’re leaving massive value on the table. Here’s why these surveys matter so much:

• Direct measurement of attendee satisfaction: You instantly see how your event resonates. If you never ask, you’ll never know what’s working (or what’s not).

• Pinpoint what drives referrals and repeat attendance: Most conferences grow by word-of-mouth. Tracking likelihood to recommend is the fastest way to benchmark promoter power and spot areas for improvement.

• Show stakeholders the impact of your work: Feedback from these surveys serves as crisp proof of value to sponsors, partners, and leadership.

• Keep your event relevant over time: According to industry research, post-event surveys are essential tools for understanding attendee experiences and identifying areas for improvement, ensuring that associations remain relevant to their members year after year. [1]

If you’re not running these, you’re missing insight into attendee enthusiasm—and missing ideas that could spark future improvements. The importance of conference participant feedback is huge: it directly impacts your reputation, repeat attendance, and ability to fine-tune future events. The best conference organizers in the world make this a core routine.

What makes a good survey on likelihood to recommend?

For a survey on likelihood to recommend to deliver useful data, it needs a few essentials:

• Clear, unbiased questions: Ask plainly—don’t nudge, don’t lead.

• Conversational tone: Chatty, friendly, and human language puts respondents at ease, resulting in more honest answers.

• Mix of question types: Add open-ended, single-select, and NPS-style questions for well-rounded feedback.

• Mobile-friendliness: Most people answer surveys on phones—make it easy (AI survey generators, like Specific, build for mobile first by default).

The real measure? Not just how many people finish, but the quantity and quality of responses. You want both—high completion, and rich, actionable insights that tell you something useful.

Question types and examples for conference participant surveys about likelihood to recommend

A comprehensive survey blends several question styles. Let’s unpack them, with context and examples:

Open-ended questions are invaluable for gathering detailed, authentic feedback—especially when you’re trying to understand the “why” behind a score. They allow participants to elaborate, which often surfaces themes you hadn’t considered. Use these when you want nuanced, qualitative insights, for example:

• What was the most memorable aspect of the conference for you?

• Can you explain what would make you more likely to recommend this event to others?

Single-select multiple-choice questions are best for structured analysis—especially when you want to track trends over time. They’re also quick for busy participants:

What is the primary reason you would recommend (or not recommend) this conference to a colleague?

• Content quality

• Networking opportunities

• Logistics/organization

• Other (please specify)

NPS (Net Promoter Score) question offers an industry-standard measurement for recommendation likelihood. It’s instantly benchmarkable and segmentable (by role, company type, etc.). You can generate a dedicated NPS survey for this setting with one click. Example:

On a scale from 0 to 10, how likely are you to recommend this conference to colleagues or friends?

Followup questions to uncover "the why" are powerful after any rating or ambiguous answer. Ask these to dig deeper and clarify responses—not just what they thought, but why they feel that way. For example:

• What was the main reason for your rating?

• What could we do differently next year?

To learn more about crafting strong questions and see more examples (with tips for every format), check out our article on best questions for conference participants survey about likelihood to recommend.

What is a conversational survey?

Conversational surveys are a game-changer. Unlike traditional forms, these feel like a real conversation—one question at a time, in flowing, natural language, with follow-ups that respond to what’s just been said. You get clearer, more thoughtful answers because respondents feel heard, not steamrolled.

Manual survey creation is slow and static: type every question, set up logic by hand, and the result often feels clunky on mobile. AI survey generators, like the one inside Specific, make the whole process smooth and, frankly, enjoyable. The workflow is almost fun: just chat with the AI about your goals, and your survey builds itself (complete with dynamic follow-up logic).

Why use AI for conference participant surveys? Because the process is hands-off, produces higher quality (and more fun!) surveys, and makes gathering deep insights simple. AI-driven follow-ups turn each reply into a conversation, unlocking richer qualitative data. If you’re curious, see our AI survey example and how to analyze responses for conference participants, it’s all built around conversational surveys.

Specific offers best-in-class user experience for both creators and respondents in these conversational surveys—so everyone participates, and everyone enjoys the process. If you want to tweak questions or change the tone, you can do it instantly with the AI survey editor.

The power of follow-up questions

Let’s be honest—the best insights come from the second and third questions, not the first. If you just record one-line feedback, you often end up with ambiguity or half stories. That’s where AI-driven automated followup questions shine: they ask for clarification, details, or examples, based on the respondent’s context. This is what makes your survey truly conversational.

• Conference participant: "The sessions were okay."

• AI follow-up: "What could have made the sessions better for you?"

Automated follow-ups save enormous time compared to chasing participants for clarification via email. Thanks to contextual logic, the questions feel natural, like chatting with an expert. Respondents elaborate more and you get richer, clearer datasets.

How many followups to ask? In most cases, two or three followups per main question is the sweet spot. Too many and you risk fatigue, too few and you might miss nuance. Let respondents skip to the next question when they’ve given enough detail (Specific lets you set this up with ease).

This makes it a conversational survey. Each followup keeps the experience interactive, almost like an interview, so respondents open up naturally rather than feeling quizzed. Specific’s real-time follow-ups are a level above traditional branching logic—they adjust live, based on each participant’s answers.

Qualitative insights, AI analysis, powerful themes: Even though you’ll get lots of unstructured text, tools like AI survey response analysis make it simple to review and act on patterns—so your team can find actionable insights and key trends fast.

Automated, conversational follow-ups are a new standard. Try creating a survey on Specific to experience it—the difference is immediate.

See this likelihood to recommend survey example now

Create your own survey and unlock honest feedback, smart follow-ups, and powerful analysis instantly—this is the quickest way to level up your conference experience.