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Automobile Buyer Journey & Satisfaction Survey

Captures the full vehicle-purchase experience — what drove the decision, how the dealership or online process performed, and how likely buyers are to return or recommend — for auto manufacturers and dealer groups. An AI follow-up interview reconstructs the actual deciding moment, including near-misses and hesitations that closed-ended questions miss.

Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to tell us about your recent vehicle purchase! Your feedback shapes how we improve the buying experience. This will take about 5 minutes.

Q02
Short TextRequired

What make and model did you purchase (e.g., 'Toyota RAV4')?

Q03
Multiple ChoiceRequired

Was this vehicle new or used?

  • New
  • Used (certified pre-owned)
  • Used (non-certified)
Q04
Multiple ChoiceRequired

How did you complete this purchase?

  • In-person at a dealership
  • Mostly online, picked up in person
  • Fully online with home delivery
  • Private sale (not a dealership)
Q05
Best–Worst Trade-off (MaxDiff)Required

From this list, which factor mattered most and which mattered least when you chose this vehicle?

  • Price or overall value
  • Safety ratings
  • Fuel efficiency or range
  • Brand reputation
  • Styling or design
  • Technology and features
  • Financing or lease terms
  • Expected resale value
Pick best & worst per setBest:Mattered mostWorst:Mattered least
Q06
Rating ScaleRequired

Overall, how satisfied were you with the vehicle-buying process (not the vehicle itself)?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q07
MatrixRequired

Please rate the following parts of your purchase experience.

5 rows × 5 columns
  • Sales staff knowledge
  • Negotiation process
  • Financing or paperwork speed
  • Test drive experience
  • Facility or website cleanliness/usability
Columns: Poor · Fair · Good · Very good · Excellent
Q08
Opinion ScaleRequired

How likely are you to recommend this dealership (or seller) to a friend or colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Reconstruct the moment the respondent decided to buy this specific vehicle: what almost made them walk away, which other vehicles or dealers they seriously compared it to, and what tipped the decision. If their rating of the buying process was mediocre or low, probe the exact point in the process (negotiation, financing, wait time) that caused friction and what would have fixed it.

Q10
Multiple ChoiceRequired

How likely are you to consider this same brand for your next vehicle?

  • Definitely will
  • Probably will
  • Not sure
  • Probably won't
  • Definitely won't
Q11
Multiple Choice

Which age range do you fall into?

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

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
Message

That's everything — thank you! Your responses will be combined with other buyers' feedback to help improve the purchase and financing process.

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

  • Includes an AI follow-up interview that reconstructs the actual moment of decision, surfacing near-misses and hesitations that fixed-response questions can't capture
  • Combines quantitative measures (satisfaction rating, matrix ratings of the purchase experience, recommendation likelihood) with open-ended AI probing for a fuller picture
  • Uses a MaxDiff exercise to force-rank the factors that truly mattered most and least in the purchase decision, rather than relying on vague importance scales
  • Captures purchase channel, vehicle condition, and brand loyalty intent alongside experience data, all wrapped in a short, respondent-friendly flow with clear opening/closing messages

SurveyMonkey

Automobile Buyer Feedback Survey Template

This is a fielding-ready static template covering vehicle purchase feedback, similar in topic to ours. It relies on SurveyMonkey's standard closed-ended question types (ratings, multiple choice) rather than any adaptive interviewing. It's a solid quantitative baseline but won't dig into the qualitative 'why' behind a purchase decision.

What it does well

  • Purpose-built template specifically for automobile buyer feedback
  • Backed by SurveyMonkey's mature survey infrastructure and distribution tools
  • Easy to deploy quickly with pre-built question sets

Where it falls short

  • No adaptive AI follow-up questioning — respondents get the same static questions regardless of answers
  • No voice AI interview or guided screen-share task option
  • No automated per-response quality scoring or transparent prompt methodology

Ready to launch?

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