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Best questions for hotel guest survey about room comfort

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Adam Sabla

·

Aug 23, 2025

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Here are some of the best questions for a hotel guest survey about room comfort, plus tips on how to design them. With Specific, you can build conversational surveys like this in seconds—no expertise required.

The best open-ended questions for hotel guest survey about room comfort

Open-ended questions let guests freely express what stood out or frustrated them in their hotel room. These are great for qualitative insights—especially when you want to discover themes you might not expect. Research shows that qualitative feedback is crucial for hospitality teams: it uncovers details that scores simply can't capture, giving you actions to actually improve comfort and guest satisfaction.[1]

  1. What stood out the most about your room comfort during your stay?

  2. Were there any aspects of your room that made it especially comfortable or uncomfortable?

  3. How did the bed and bedding affect your overall comfort?

  4. Were you satisfied with the room’s temperature and climate control? Please elaborate.

  5. Did you find the furniture and layout convenient and relaxing?

  6. Was there anything about noise levels in your room you’d like to mention?

  7. How did the quality of linens, towels, and pillows impact your experience?

  8. What could we change to make your room even more comfortable in the future?

  9. Were amenities like lighting, outlets, and Wi-Fi adequate for your needs?

  10. If you could improve one aspect of the room’s comfort, what would it be and why?

The best single-select multiple-choice questions for hotel guest survey about room comfort

Single-select multiple-choice questions are perfect when you want quick, measurable results, or to prompt guests to start sharing before digging deeper. These are especially effective for benchmarks: maybe you want to track key points over time, or help guests warm up to sharing open feedback. They’re easy for guests, fast to answer, and help you quantify trends.

Question: How would you rate the overall comfort of your room?

  • Very uncomfortable

  • Uncomfortable

  • Neutral

  • Comfortable

  • Very comfortable

Question: Which of the following contributed most to your comfort?

  • Bed and bedding

  • Room temperature

  • Noise level

  • Room layout/furniture

  • Other

Question: Was your room’s temperature…

  • Too cold

  • Just right

  • Too warm

When to follow up with "why?" Often, after a single-select choice, it’s smart to ask, “Why did you choose that?” For example, if a guest selects “Uncomfortable” for overall room comfort, following up with “why?” uncovers what caused discomfort—a key to fixing it.

When and why to add the "Other" choice? Always include “Other” when the possible answers might not cover all guest experiences. Follow-up questions for this choice often flag surprises or new issues—ideal for finding things you didn’t think to ask about!

NPS question: Measuring guest loyalty through room comfort

The net promoter score (NPS) is a must for capturing the big picture. Here's why: NPS measures how likely guests are to recommend your hotel, with a focus on a specific experience—in this case, their room comfort. Hotels using NPS regularly find actionable ways to boost loyalty and repeat stays, directly impacting revenue and reputation.[2] If you want to see what this looks like, you can try our NPS survey for hotel guest room comfort.

The power of follow-up questions

Automatic follow-up questions are game changers for uncovering root causes and details that traditional surveys miss. With Specific, AI-powered dynamic follow-ups go far beyond static forms—see how our AI-driven follow-ups probe for context in real-time, just like a sharp interviewer. This approach consistently raises the depth and clarity of responses, letting you capture the “why” behind guest feedback without back-and-forth emails or extra work.

  • Hotel guest: “It was noisy.”

  • AI follow-up: “Could you share more about what caused the noise, and how it affected your comfort?”

How many followups to ask? Two or three personalized follow-up questions are usually just right—enough to fully clarify, but not overwhelm. We recommend allowing guests to skip ahead if their feedback is already clear. Specific’s survey settings let you fine-tune this for the perfect conversational flow.

This makes it a conversational survey: The back-and-forth, just like natural chat, turns your survey from a static form into a genuine conversation—one that makes guests feel heard, not interrogated.

AI response analysis, uncover insights: Even if you gather tons of open-ended feedback, no need to worry about analysis. Tools in Specific make it simple to analyze hotel guest survey responses—you can chat with AI about results, surface summaries, and dig into themes painlessly.

These automated, conversational follow-ups are a new gold standard—generate a hotel guest room comfort survey and see how it transforms guest insights.

How to compose effective ChatGPT prompts to brainstorm survey questions

AI tools like ChatGPT are fantastic for brainstorming. The right prompt gives you much higher quality questions. Start with something basic:

Suggest 10 open-ended questions for hotel guest survey about room comfort.

But if you want better results, give it extra context about your property, audience, and what you want to achieve:

“I manage a midscale business hotel focused on business and family travelers. We want to improve room comfort based on real guest insights. Suggest 10 open-ended questions that will help uncover specific pain points or delights about room comfort during a three-night stay.”

Once you have a list, you can prompt AI to organize them:

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

Select the categories you want to dig into, and keep refining:

Generate 10 questions for the categories “room temperature,” “noise levels,” and “amenities.”

Using these prompt tweaks, you’ll get targeted, highly relevant survey items for your guests.

What is a conversational survey, and why is it revolutionary?

Conversational surveys, like those created with Specific’s AI survey generator, deliver questions in a natural, interactive chat format. The days of boring forms and endless tick-boxes are gone—conversational AI surveys engage in real-time back-and-forth, ask instant follow-ups, and feel human, not scripted.

What’s the difference? Here’s a simple comparison:

Manual Survey

AI-Generated Conversational Survey

Static list of questions

Questions + dynamic, contextual follow-ups

No adaptation based on responses

Smart probing based on guest answers

Analysis is manual, slow

AI analyzes and summarizes for you

Can feel impersonal

Feels like a real conversation

Why use AI for hotel guest surveys? Simply put: you get richer insights, higher completion rates, and more nuanced context—which you can act on quickly. Research suggests that conversational, real-time feedback collection increases both quality and quantity of guest responses, making each data point more valuable.[3]

If you’re curious about building your own, see our in-depth guide on how to create an AI-powered hotel guest survey about room comfort.

When it comes to best-in-class guest feedback, Specific gives both survey creators and respondents a smooth, engaging, and conversation-first experience—whether sent as a link or embedded in your hotel’s guest app.

See this room comfort survey example now

Start collecting richer, actionable guest feedback—see a room comfort conversational survey example now and experience the benefits: more insight, less effort, and happier hotel guests.

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Sources

  1. American Hotel & Lodging Association (AHLA). Regularly publishes reports on guest satisfaction, including the role of qualitative feedback in improving hotel services.

  2. J.D. Power. Annual North American Hotel Guest Satisfaction Study, showing the direct link between guest experience metrics and loyalty outcomes.

  3. International Journal of Hospitality Management. Peer-reviewed research on feedback collection methods and their effectiveness within the hospitality sector.

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.