This article will guide you how to create an Event Attendee survey about Likelihood To Recommend—fast. Specific lets you build such surveys in seconds; just generate a custom conversational survey and start gathering insights right away.
Steps to create a survey for Event Attendee about Likelihood To Recommend
If you want to save time, just generate a survey with Specific—it couldn’t get easier. Here’s what you do:
Tell what survey you want.
Done.
You don’t even need to read further. With AI, your survey comes ready-made with expert-backed questions. It will automatically ask follow-up questions to Event Attendees to capture richer, contextual feedback—just like a human would.
Why collecting Likelihood To Recommend feedback from Event Attendees matters
Let’s make this clear: missing out on post-event feedback is a missed opportunity to improve your future events. When we ask about Likelihood To Recommend, we’re quantifying not only satisfaction, but also real event value and discovering ways to ignite word-of-mouth advocacy.
Let’s ground this in data: completion rates drop to just 5–20% for surveys longer than 7–8 minutes[1]. That’s why you want engaging, relevant, and concise Event Attendee recognition surveys—otherwise, the voices you most want to hear will simply check out.
Here’s what you’re missing out on if you’re not asking:
Actionable feedback to improve event quality
Early warnings about friction or dissatisfaction
True measures of attendee engagement and potential promoters
The biggest loss? You won’t know what created stand-out moments or which issues might kill your event’s reputation—your next event could repeat the same mistakes. Prioritizing the importance of an Event Attendee feedback survey is a proven way to get reliable results and build a loyal attendee base.
What makes a good Event Attendee survey on Likelihood To Recommend
Great surveys nail a balance between quality and quantity. You need high participation—brought by clear questions and a friendly, conversational survey approach—and you want thoughtful responses. Here’s how we think about it:
Clear, unbiased questions mean less confusion. Avoid jargon or complex scales—people are more likely to answer honestly if it feels easy.
Conversational tone makes it feel like a real exchange, not a clinical form. That helps people open up and share candid detail.
Mobile-friendly design—since many complete surveys on-the-go.
Bad Practices | Good Practices |
|---|---|
Complicated questions, loaded language | Clear, straightforward wording |
Only multiple-choice, no room for “why” | Mix of closed, open-ended, and follow-up questions |
Long, monotonous forms | Conversational, to-the-point chat survey |
The major metric for success is both the quantity (response rate) and the quality (depth and honesty) of responses your survey gets. Only when you achieve both can you confidently rely on your results.
Best question types for Event Attendee survey about Likelihood To Recommend
Each question type serves a purpose. Using a blend drives both engagement and actionable answers.
Open-ended questions help us understand not just what people think, but why. They let Event Attendees elaborate, which often surfaces real pain points or unexpected wins. Use these when you need nuance, emotional responses, or to dig deeper into issues.
“What was the biggest reason you would (or wouldn’t) recommend this event to a friend?”
“How could we make the event more recommendable?”
Single-select multiple-choice questions are best for quick, structured data—easily quantifiable and simple for respondents. Use them when you want to segment your audience or quickly see trends; for example:
“Which part of the event most influenced your Likelihood To Recommend?”
Keynote speakers
Networking sessions
Workshops
Event logistics
NPS (Net Promoter Score) question is a trusted metric for measuring Likelihood To Recommend. It’s quick, industry standard, and highly actionable. You can easily generate a NPS survey for event attendees about Likelihood To Recommend. Here’s a classic example:
“On a scale from 0-10, how likely are you to recommend this event to a friend or colleague?”
Followup questions to uncover "the why": Always ask follow-ups to learn what’s behind the ratings—especially after closed questions. This is where the most actionable feedback comes from. For example:
“What made you give us that score?”
“Is there anything specific you’d like to see improved next time?”
Want to explore more? Check out best questions for event attendee survey about likelihood to recommend—it’s packed with examples and tips for crafting effective survey questions that engage and convert.
What is a conversational survey?
A conversational survey uses chat-like interaction to engage Event Attendees—rather than making them slog through a static form. It feels like talking to a helpful researcher, not filling out paperwork. The difference is night-and-day: you get higher response rates, deeper answers, and richer context.
Here’s how it stacks up:
Manual Survey | AI-generated Survey |
|---|---|
Static, linear forms | Dynamic, interactive, adapts based on answer |
No followups, unless scripted in advance | Follows up automatically in real time, like a human researcher |
Time-consuming to build and edit | AI survey builder can create or update in seconds |
Why use AI for Event Attendee surveys? Because AI-powered survey tools (like Specific) handle all the hassle for you: creating surveys, following up for context, and analyzing responses with GPT—all in one flow. That means less stress for survey creators and a truly engaging experience for Event Attendees. For a step-by-step walkthrough, see our guide to creating surveys with AI.
AI survey examples—especially conversational surveys—change the game, resulting in richer feedback and lower survey fatigue. And thanks to Specific’s best-in-class UX, both the respondent and the creator enjoy an intuitive, frictionless experience from start to finish.
The power of follow-up questions
We can’t stress this enough: automated follow-up questions are the key ingredient for better insights. With Specific’s automatic AI follow-up questions, the survey will dig deeper—gently asking “why?” or clarifying ambiguous responses, in real time.
Consider how it plays out if you skip follow-ups. Unclear replies remain mysteries, wasting everyone’s time. For example:
Event Attendee: “It was okay.”
AI follow-up: “Could you tell me more about what made it just ‘okay’? Was there a particular part you’d improve?”
How many followups to ask? In general, 2-3 targeted follow-ups are enough. Specific lets you customize this; once you have the info you need, the AI smoothly guides respondents forward.
This makes it a conversational survey—people chat back and forth, so you collect deeper insight, not just surface-level responses.
AI survey response analysis: Even with all this rich, unstructured data from open-text follow-ups, Specific makes it effortless to analyze—all with AI-powered categorization and chat-based exploration. Learn more at AI survey response analysis or see tips in how to analyze responses from event attendee survey about likelihood to recommend.
Automated follow-up questions are a revolutionary concept; try generating a survey to see the difference firsthand.
See this Likelihood To Recommend survey example now
See how easily you can create your own conversational survey for Event Attendees about Likelihood To Recommend—capture deeper, actionable feedback, and empower your next event’s success with AI-driven insights.