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Booking Request Process Feedback Survey

Measures how easy, fast, and clear the booking request process felt — from submitting the request to getting confirmed — for hotels, salons, venues, clinics, and other appointment-based businesses. An AI follow-up interview reconstructs exactly where delays or confusion happened instead of relying on one satisfaction score.

Sample questions

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

12 questions · ~7 min
Q01
Message

Thanks for taking a moment to share feedback on your recent booking request! This helps us make the process faster and clearer for everyone. About 7 minutes.

Q02
Multiple ChoiceRequired

How did you submit your booking request?

  • Online form or website
  • Phone call
  • Email
  • Mobile app
  • Social media or messaging app
  • In person
Q03
Opinion ScaleRequired

How easy was it to submit your booking request?

Scale: 17
Min:Very difficultMax:Very easy
Q04
Multiple ChoiceRequired

How long did it take to hear back after you submitted your request?

  • Within an hour
  • Same day
  • 1-2 days
  • More than 2 days
  • I haven't heard back yet
Q05
MatrixRequired

Thinking about your booking request, how much do you agree with each statement?

3 rows × 5 columns
  • It was clear what information I needed to provide
  • The confirmation details (date, time, cost) were clear
  • Staff were responsive when I had questions
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Multiple ChoiceRequired

Did you get the date and time you originally requested?

  • Yes, exactly what I requested
  • Yes, but I had to accept an alternate time
  • No, my request could not be accommodated
Q07
Rating ScaleRequired

Overall, how satisfied are you with the booking request process?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q08
AI Interview

Reconstruct exactly what happened during this respondent's booking request, focusing on the point between submitting the request and getting a confirmed answer. If they waited more than a day, an alternate time was offered, or their request wasn't accommodated, probe what specifically caused the delay or mismatch and how it was communicated to them. Anchor on any 'Disagree' or 'Strongly disagree' rating in the earlier statements and ask what would have made that clearer or faster.

Q09
Opinion ScaleRequired

How likely are you to recommend this booking process to a friend or colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q10
Long Text

Is there anything that would have made your booking request faster or easier?

Q11
Multiple Choice

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q12
Message

That's everything — thank you! Your feedback goes directly into improving how we handle booking requests, from confirmation speed to how we set expectations up front.

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

  • Uses an AI follow-up interview to reconstruct exactly where delays or confusion happened during the booking request, rather than stopping at a single satisfaction score
  • Combines a rating and opinion-scale question with a matrix of agreement statements, so both quantitative trends and qualitative detail are captured in one flow
  • Includes a recommend-likelihood question and an open long-text prompt asking what would have made the request faster or easier, surfacing concrete process fixes
  • Closes with a transparent, human-toned chat message so respondents understand their feedback feeds directly into process improvements

Jotform

Booking Request for Bands Form Template

This is an intake form for bands to receive booking requests, not a survey measuring how the booking process felt afterward. It's a static, fielding-ready form builder template rather than a feedback/research instrument. Useful for a narrow niche (band bookings) but not for general appointment-based businesses.

What it does well

  • Purpose-built for a specific niche (band booking requests)
  • Drag-and-drop form builder with ready-made fields
  • Quick to deploy for collecting request details

Where it falls short

  • Collects a booking request, but has no mechanism to measure satisfaction or friction with the process afterward
  • Static fields only — no adaptive follow-up questioning to probe where delays happened
  • No automated quality scoring or auto-generated analysis reports

SurveySparrow

Booking Request Form Template

This is a conversational form for submitting a booking request itself, not a post-booking feedback survey measuring ease, speed, or clarity. It benefits from SurveySparrow's chat-style UI, but the template's purpose is data intake rather than process evaluation. Good for general appointment businesses submitting requests, but doesn't reconstruct what happened during the process.

What it does well

  • Conversational, chat-style form format improves completion rates
  • General enough to apply across appointment-based business types
  • Part of a broader survey platform with reporting dashboards

Where it falls short

  • No adaptive AI interview to reconstruct where delays or confusion occurred in the booking journey
  • Static question set — no per-response quality scoring
  • Designed for capturing requests, not for measuring the experience of the request-to-confirmation flow

Typeform

Booking Request Form Template

Another intake-style form for submitting a booking request, presented with Typeform's signature one-question-at-a-time interface. It's polished and fielding-ready but is not designed to measure satisfaction, delays, or confusion after the booking process concludes. No voice or AI-interview capability is indicated.

What it does well

  • Clean, one-question-at-a-time interface known for strong completion rates
  • Broadly applicable across booking-based business types
  • Easy to customize branding and question order

Where it falls short

  • No adaptive follow-up interview or voice AI option to probe individual respondent experiences
  • Fixed question flow can't reconstruct the specific point where a delay or confusion happened
  • No built-in automated quality scoring or auto-generated report on process friction

Ready to launch?

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