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Vehicle Service Request Experience Survey

Captures how customers experience the full vehicle service request journey — scheduling, cost and timeline communication, quality of work, and pickup — for auto repair shops, dealerships, and fleet service centers. An AI follow-up interview digs into the real reasons behind cost surprises, delays, or low recommendation scores instead of settling for a star rating.

Sample questions

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

14 questions · ~7 min
Q01
Message

Thanks for bringing your vehicle in for service! We'd love to hear how your recent service request went, from scheduling to pickup. This should take about 8 minutes, and your honest feedback helps us improve.

Q02
Multiple ChoiceRequired

Which best describes the service you requested most recently?

  • Routine maintenance (oil change, tires, fluids, etc.)
  • Diagnostic or troubleshooting visit
  • Mechanical or electrical repair
  • Warranty or recall work
  • Inspection
Q03
Multiple ChoiceRequired

How did you schedule this service appointment?

  • Online booking form
  • Mobile app
  • Phone call
  • Walk-in or drop-off
  • In person with a service advisor
Q04
Opinion ScaleRequired

How easy was it to schedule your service appointment?

Scale: 17
Min:Very difficultMax:Very easy
Q05
Opinion ScaleRequired

How clearly did we explain the estimated cost and timeline before work began?

Scale: 17
Min:Not clear at allMax:Extremely clear
Q06
MatrixRequired

Please rate the following parts of your service visit.

5 rows × 5 columns
  • Friendliness of staff/service advisor
  • Length of wait time
  • Quality of work performed
  • Cleanliness of your vehicle upon return
  • Communication throughout the service
Columns: Poor · Below average · Average · Good · Excellent
Q07
Multiple ChoiceRequired

Was your vehicle ready at the time promised?

  • Yes, ready right on time
  • Ready earlier than expected
  • Ready late, but I was notified in advance
  • Ready late, with no notice
  • Not yet ready / still in progress
Q08
Multiple ChoiceRequired

How did the final cost compare to the original estimate you were given?

  • Same as quoted
  • Lower than quoted
  • Slightly higher than quoted
  • Significantly higher than quoted
  • No estimate was given beforehand
Q09
Opinion ScaleRequired

How likely are you to recommend this service center to a friend or colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q10
AI Interview

Explore the respondent's experience with this specific service visit, anchoring on their answers about cost accuracy and timeliness. If the final cost came in higher than quoted, probe what caused the increase and whether it was communicated proactively before the extra work was done. If their recommendation score was 6 or below, dig into the single biggest driver of dissatisfaction and what specifically would need to change next time. If the visit went smoothly, ask what stood out most and whether anything still felt unclear.

Q11
Long Text

Is there anything else about your service experience you'd like us to know?

Q12
Multiple Choice

How long have you been bringing your vehicle to this service center?

  • Less than 6 months
  • 6 months to 1 year
  • 1-3 years
  • 3-5 years
  • More than 5 years
  • Prefer not to say
Q13
Multiple Choice

Is the vehicle you had serviced used primarily for personal or business purposes?

  • Personal use
  • Business or fleet use
  • Both personal and business use
  • Prefer not to say
Q14
Message

That's everything — thank you for sharing your experience! Your feedback goes directly into improving how we schedule, communicate, and deliver vehicle service.

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

  • Combines structured ratings on scheduling ease, cost/timeline clarity, and work quality with an AI follow-up interview that probes the actual reasons behind cost surprises, delays, or low recommendation scores
  • Includes a matrix rating of specific parts of the service visit alongside multiple-choice questions on appointment method, promised pickup time, and estimate-vs-final-cost variance for structured trend tracking
  • Segments respondents by service type, customer tenure, and personal vs. business vehicle use, so reports can be sliced by the customer profiles that matter to service centers
  • Uses transparent, reviewable AI interview prompts and auto-generated reports, so shops see exactly what was asked and get a synthesized summary without manually reading every open-ended response

Jotform

Vehicle Service Request Form Template

This is a static intake/request form for scheduling or requesting vehicle service, not a post-service experience survey with follow-up probing. It's fielding-ready as a form builder template and easy to customize with Jotform's drag-and-drop tools. It captures request details upfront rather than exploring how the service experience actually went.

What it does well

  • Fielding-ready form builder template with drag-and-drop customization
  • Likely supports file uploads and standard form logic common to Jotform templates
  • Easy integration into existing shop websites or intake workflows

Where it falls short

  • Built for intake/scheduling requests, not for capturing post-service satisfaction or root causes of delays and cost surprises
  • No adaptive follow-up questioning — respondents can't be probed further on a low rating or unmet promise
  • No per-response quality scoring or automated thematic reporting

SurveySparrow

Online Vehicle Service Request Form Template

A conversational-style form for submitting a vehicle service request, positioned as a request/intake tool rather than an experience survey. It likely offers SurveySparrow's chat-like UI and basic branching logic. It doesn't appear designed to dig into why a customer was dissatisfied with cost, timeline, or pickup.

What it does well

  • Conversational, chat-style UI that can feel more approachable than a static form
  • Fielding-ready template usable directly for collecting service requests
  • Likely supports basic skip logic for different request types

Where it falls short

  • Focused on request intake, not on evaluating the completed service experience or recommendation drivers
  • No AI-driven follow-up interview to explore the 'why' behind a rating
  • No transparent prompt methodology or automated per-response quality scoring

Typeform

Free Customer Service Request Form Template

A generic customer service request form template, not specific to vehicles or the service journey (scheduling, cost communication, pickup). It's a polished, fielding-ready template built on Typeform's conversational form format, but would need substantial customization to fit an auto-service use case. It's a request-capture tool, not a post-visit experience or satisfaction survey.

What it does well

  • Polished, on-brand conversational question flow typical of Typeform
  • Fielding-ready and quick to deploy for general service requests
  • Mobile-friendly one-question-at-a-time format

Where it falls short

  • Generic template not tailored to the vehicle service journey (scheduling, estimate accuracy, pickup timing)
  • No adaptive AI interview or voice interview option to probe cost surprises or delays
  • No automated quality scoring or auto-generated experience reports

Ready to launch?

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