Best questions for hotel guest survey about noise levels

Here are some of the best questions for a hotel guest survey about noise levels, along with tips on crafting the perfect survey. You can instantly build your own survey like this with Specific—just generate one by describing what you want.

Best open-ended questions for hotel guest survey about noise levels

Open-ended questions really let guests share their unique stories. They go beyond yes/no by capturing detailed feedback in the guest’s own words, revealing context that helps us take action. These are especially useful when we want depth and nuance—like understanding specific noise sources or how disruptions affected rest.

• What kinds of noises did you notice during your stay, if any?

• How did noise in or around your room affect your overall experience?

• If you experienced noise disturbances, when did they usually occur?

• Where did the noise seem to be coming from?

• How did you address any noise problems you encountered?

• Did noise impact your ability to sleep or relax? Please share details.

• What would have improved your experience with regard to noise?

• Did you inform hotel staff about any noise issues? Why or why not?

• If you shared your feedback with the staff, how was it handled?

• Is there anything else you’d like to share about noise during your stay?

Getting honest, narrative input this way uncovers trends that are hidden from standard checklists. This matters, because research shows that 65% of U.S. hotel guests cite noise—mainly from other guests—as their main complaint [2]. Yet, only about 25% actually report noise disturbances to staff, meaning most problems go unaddressed and can show up as negative online reviews instead [3].

Best single-select multiple-choice questions for hotel guest noise level surveys

Single-select multiple-choice questions are our go-to when we want to quantify issues or pinpoint the most common experiences quickly. They’re perfect as conversation-starters—guests can answer quickly and are more likely to respond, even if they’re in a hurry. After a choice, we can dive deeper with targeted follow-ups.

Question: During your stay, how would you rate the noise level in your room?

• Very quiet

• Mostly quiet

• Somewhat noisy

• Very noisy

Question: What was the main source of noise you noticed?

• Other guests

• Outside traffic or street noise

• Hotel staff/housekeeping

• Air conditioning or appliances

• Other

Question: Did you consider changing rooms or leaving due to noise levels?

• No, not at all

• Thought about it, but stayed

• Yes, I changed rooms

• Yes, I checked out early

When to followup with "why?" After any selected answer that suggests dissatisfaction or an action (like "Very noisy" or "Yes, I changed rooms"), always ask why. For example, "What specifically prompted you to change rooms?" or "Can you elaborate on what made the noise bothersome?" This gets to the heart of the problem, making improvements far more targeted.

When and why to add the "Other" choice? If you’re not sure you’ve listed every possibility, or the situation is complex, include "Other." Follow up with: "What was the source?" or "Can you describe the situation?" This uncovers valuable, unexpected insights that standard options may overlook.

Should you ask net promoter score (NPS) questions?

NPS—“On a scale of 0-10, how likely are you to recommend us?”—is a great fit here. Why? Because noise issues are one of the top reasons guests hesitate to recommend or return to a hotel. If someone gives a poor NPS because of noise, we instantly know it’s not just a minor annoyance—it’s hurting loyalty and word of mouth. This insight is gold for making strategic decisions. Create a tailored NPS survey for hotel guests about noise levels in a few clicks.

Considering that over 80% of travelers read at least six reviews before booking, and that negative noise reviews are among the top deterrents, tracking NPS with noise as a key driver helps safeguard both reputation and revenue [5].

The power of follow-up questions

Follow-up questions are where surveys come alive. If you want truly actionable insights, you can’t rely on just initial responses—real understanding comes when we dig deeper, in real time, while details are fresh. Our article about automatic AI follow-up questions shows how this transforms a survey from a checklist into a natural conversation.

Specific’s AI-powered approach makes follow-ups seamless. It listens, probes, and asks smart clarifying questions on the spot—just like a sharp interviewer would. Not only does this save a ton of manual follow-up over email or phone, but the feedback you get is richer, more accurate, and easier to act on.

• Hotel guest: "It was sometimes noisy at night."

• AI follow-up: "Can you tell me what type of noise you heard and how often it happened?"

Without that prompt, we’re left guessing. With it, we learn the noise was daily, from the ice machine in the hallway—and now we know what to fix.

How many followups to ask? Usually, 2–3 follow-ups are enough to get a complete picture, especially if each builds on the previous answer. You can always configure the number, or set the survey to skip to the next question when the main point is clear. Specific lets you customize this for your needs.

This makes it a conversational survey—not a boring form. Guests (and customers) respond more naturally, trust the process, and often provide more honest feedback.

Easy AI-powered analysis: Even with all the rich text responses and followups, analysis is straightforward thanks to AI. Our guide to analyzing survey responses with AI shows how you can spot trends and dig out insights instantly, no matter how many responses you have.

The best way to get a feel for this is to try generating a survey yourself and see the difference that conversational, smart follow-up questions make in your results.

How to compose a prompt for ChatGPT or GPT-based survey generator

If you want to use AI tools like ChatGPT to help write your survey, try this simple starting prompt:

Suggest 10 open-ended questions for Hotel Guest survey about Noise Levels.

You’ll get much higher quality results if you add context, such as your role ("I'm a hotel manager"), the reason for the survey, or the type of hotel. Here’s an improved prompt:

I'm the operations manager at a city-center hotel. Guest reviews mention noise complaints that could impact bookings. Suggest 10 open-ended questions to understand specific problems, timing, and effects of noise on guest satisfaction.

After generating a question list, make your prompts work harder:

Look at the questions and categorize them. Output categories with the questions under them.

Once you see categories like "Sources of Noise," "Impact on Experience," and "Staff Responsiveness," you can zoom in:

Generate 10 questions for the category "Impact on Experience" focusing on sleep quality and relaxation.

What is a conversational survey?

A conversational survey uses AI to guide respondents in a natural back-and-forth, just like chatting with a person. Instead of static forms, guests feel heard—they can clarify, elaborate and even surprise you with details you might never have thought to ask. The result? Higher quality feedback, more participation, and insights that traditional surveys usually miss.

Why use AI for hotel guest surveys? Guest satisfaction, reputation, and revenue are directly tied to experience—and noise is the top complaint in most hotels [1]. If we want to catch and solve these issues fast, nothing beats a conversational survey powered by AI. You get honest, real-time context, can probe for actionable detail, and even analyze results instantly, all in one smooth flow. Try the AI survey generator or our step-by-step guide to survey creation for a deep dive.

Specific gives you a best-in-class user experience for building conversational surveys, so your guests feel valued, and you get insights you can trust.

See this noise levels survey example now

Try a live AI-powered hotel noise survey and watch how easy it is to capture—and act on—rich guest feedback. With automated follow-ups and instant AI analysis, you’ll never look at surveys the same way again.