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Hotel Check-In Experience & Front Desk Satisfaction Survey

Captures how guests experienced arrival and check-in — speed, staff interaction, and technology options — for hotels, resorts, and boutique properties. The AI follow-up interview digs into any friction points guests mention, reconstructing exactly what slowed them down or went wrong so front-of-house teams can fix root causes, not just symptoms.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Welcome back! We'd love to hear about your recent check-in experience at our hotel. This will take about 7 minutes and helps us improve arrivals for future guests.

Q02
Multiple ChoiceRequired

How did you check in for your most recent stay?

  • Front desk (in person)
  • Self-service kiosk
  • Mobile app
  • Online pre-check-in with key pickup
  • Other
Q03
Opinion ScaleRequired

Overall, how easy was the check-in process?

Scale: 17
Min:Very difficultMax:Very easy
Q04
Opinion ScaleRequired

How satisfied were you with the amount of time it took to check in?

Scale: 15
Min:Very dissatisfiedMax:Very satisfied
Q05
MatrixRequired

Please rate the following aspects of your check-in experience.

4 rows × 5 columns
  • Staff friendliness
  • Speed of service
  • Clarity of information provided (Wi-Fi, amenities, policies)
  • Room readiness at check-in time
Columns: Poor · Below Average · Average · Good · Excellent
Q06
Multiple Choice

Did you experience any of the following during check-in? Select all that apply.

  • Long wait line
  • Room not ready
  • Reservation or billing error
  • Staff seemed unfamiliar with the property
  • Technology issue (kiosk, app, or key card)
  • Unclear directions to room or amenities
Q07
AI Interview

If the guest reported any issue (long wait, room not ready, billing error, tech problem, unclear directions), reconstruct exactly what happened step by step: when they noticed the problem, how staff responded, and how it was ultimately resolved (or not). If they reported no issues, probe what specifically made the process feel smooth so we can standardize it. Always anchor on their chosen check-in method (front desk, kiosk, app, or online) since friction points differ by channel.

Q08
Opinion ScaleRequired

How likely are you to recommend this hotel to a friend or colleague based on your overall stay?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q09
Long Text

Is there anything else about your check-in experience you'd like us to know?

Q10
Multiple Choice

What was the primary purpose of this trip?

  • Business
  • Leisure/vacation
  • Special event (wedding, conference)
  • Other
  • Prefer not to say
Q11
Multiple Choice

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
Message

Thank you for sharing your experience! Your feedback goes directly to our front desk and operations teams to make future arrivals smoother and more welcoming.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Goes beyond a single satisfaction score with a full arrival journey flow: check-in method, ease and speed ratings, a detailed matrix on specific check-in aspects, and friction-point checklist.
  • Any reported issue (long wait, room not ready, billing error, tech problem) triggers an AI follow-up interview that reconstructs exactly what went wrong, so front-of-house teams get root-cause detail instead of just a low score.
  • Combines quantitative metrics (ease, satisfaction, recommendation likelihood) with structured segmentation (trip purpose, age range) and open-ended follow-up, feeding into an auto-generated report.
  • Warm, on-brand chat messaging at open and close keeps the guest experience conversational rather than feeling like a compliance form.

Jotform

Hotel Check In Form Template

This is primarily a front-desk registration/data-capture form (guest details, arrival info) rather than a guest-experience feedback survey. It's fielding-ready as a form but not built to probe satisfaction or friction points. Customizable via Jotform's drag-and-drop builder and integrations.

What it does well

  • Fielding-ready form builder with drag-and-drop customization
  • Likely integrates with Jotform's broader form ecosystem (payments, e-sign, tables)
  • Simple to deploy for front-desk data collection

Where it falls short

  • Designed for registration/data capture, not structured satisfaction measurement
  • No adaptive follow-up questioning to explore why a guest had a problem
  • No published methodology or automated quality scoring of responses

Typeform

Hotel Check In Form Template

A conversational, one-question-at-a-time form template focused on the check-in interaction, in Typeform's signature style. It's fielding-ready and pleasant to fill out, but static — every respondent sees the same fixed question set regardless of their answers.

What it does well

  • Polished, conversational one-question-at-a-time UI
  • Easy to brand and embed on booking/confirmation pages
  • Good completion rates typical of Typeform's format

Where it falls short

  • No adaptive follow-up interview to dig into a specific complaint
  • No automated per-response quality scoring
  • No transparent, inspectable question logic or prompt methodology

SurveyMonkey

Customer Satisfaction Survey Template For Hotels

A general hotel customer satisfaction survey template, likely covering the broader stay rather than check-in specifically. It's ready to field with standard rating scales and benchmarking, backed by SurveyMonkey's established methodology library.

What it does well

  • Backed by a large, established survey methodology library
  • Built-in benchmarking against other SurveyMonkey respondents
  • Broad coverage of overall hotel satisfaction, not just arrival

Where it falls short

  • Fixed-question format with no adaptive AI follow-up on specific friction points
  • Not check-in-specific, so less granular detail on arrival/technology experience
  • No screen-share guided tasks or voice AI interview option

SurveySparrow

Hotel Guest Satisfaction Survey Template

A conversational, mobile-friendly guest satisfaction survey covering the overall stay. It's fielding-ready with SurveySparrow's chat-style UX, but treats check-in as one topic among many rather than the focused deep-dive QuestionPunk's template provides.

What it does well

  • Conversational, mobile-optimized survey experience
  • Covers overall guest journey beyond just check-in
  • Supports recurring/relationship survey distribution

Where it falls short

  • No adaptive AI interview to reconstruct root causes behind a reported issue
  • Check-in is only one section of a broader stay survey, limiting depth on arrival friction
  • No automated quality scoring or transparent prompt disclosure

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.