Q01
Message
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Veterinarian Office Staff Experience Evaluation
Measures how pet owners experience the front desk, technicians, and veterinarians during a visit — friendliness, communication, competence, and wait times — with an AI follow-up that reconstructs the specific interaction behind a client's rating. Built for veterinary practice managers who want actionable staff feedback, not just star ratings.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
What was the main reason for your most recent visit?
- Routine checkup or vaccination
- Sick or injured pet
- Emergency visit
- Surgery or procedure
- Grooming or boarding drop-off/pick-up
- Follow-up visit
- Other
Q03
Rating ScaleRequired
How would you rate the front desk/reception staff during your visit?
Range: 1 – 5
Min:Very poorMax:Excellent
Q04
Rating ScaleRequired
How would you rate the veterinary technician or nurse who assisted with your pet?
Range: 1 – 5
Min:Very poorMax:Excellent
Q05
Rating ScaleRequired
How would you rate the veterinarian who examined or treated your pet?
Range: 1 – 5
Min:Very poorMax:Excellent
Q06
MatrixRequired
Thinking about the staff you interacted with, how much do you agree with each statement?
5 rows × 5 columns
- Staff greeted me and my pet warmly
- Staff explained the diagnosis or treatment clearly
- Staff listened to my concerns and questions
- Staff handled my pet gently and calmly
- Staff followed up appropriately after the visit
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Opinion ScaleRequired
How likely are you to recommend this veterinary office to another pet owner, based on the staff who cared for you?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview
Reconstruct the specific interaction that most shaped the respondent's recommendation score: which staff member (front desk, tech, or vet) was involved, what happened step by step, and what specifically stood out as great or frustrating. If the score was 6 or below, dig into what the staff could have done differently in that exact moment; if 9 or 10, identify the precise behavior worth reinforcing across the team.
Q09
Best–Worst Trade-off (MaxDiff)
When you think about a great visit, which of these staff qualities matter most to you, and which matter least?
- Friendliness and warmth toward you and your pet
- Clear communication about diagnosis or treatment
- Short wait times
- Technical and medical competence
- Cleanliness and organization of the facility
- Empathy and patience with a nervous pet
- Helpful follow-up after the visit
Pick best & worst per setBest:Matters mostWorst:Matters least
Q10
Long Text
Is there anything a specific staff member did — good or bad — that you'd want the office manager to know about?
Q11
Multiple Choice
How long have you been bringing your pet(s) to this practice?
- This was my first visit
- Less than 1 year
- 1-3 years
- More than 3 years
- Prefer not to say
Q12
Message
That's everything — thank you for sharing your experience! Your feedback goes directly to our practice manager to help recognize great staff moments and coach where it's needed.
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 question that reconstructs the exact interaction (front desk, tech, or vet) driving a client's recommendation score, not just a numeric rating
- Separates ratings for front desk staff, veterinary technicians, and veterinarians so practice managers can pinpoint which role needs coaching
- Uses a max-diff question to rank which staff qualities (e.g., communication, competence, friendliness) matter most to clients, plus an open-ended prompt for specific praise or complaints about named staff behavior
- Pairs a matrix of agreement statements and an open-text follow-up with automated report generation, turning free-text feedback into actionable, staff-specific insight rather than raw star ratings
SurveyMonkey
Veterinarian Employee Evaluation Survey TemplateThis is a static, fielding-ready template focused on evaluating veterinary employees, built on SurveyMonkey's established survey infrastructure. It appears oriented toward internal/managerial staff evaluation rather than capturing the pet owner's first-hand experience narrative. Good for quick deployment and broad distribution, but lacks depth on reconstructing specific client interactions.
What it does well
- Backed by a well-known, widely trusted survey platform with broad distribution options
- Ready-to-use template requiring no build time
- Likely easy to customize question wording and branding within SurveyMonkey's editor
Where it falls short
- No adaptive AI follow-up to probe why a client rated staff a certain way
- Static question set with no ability to reconstruct the specific interaction behind a rating
- No published methodology on how responses are scored or weighted
SurveySparrow
Veterinarian Employee Evaluation TemplateSurveySparrow offers this as a fielding-ready, conversational-style template, leveraging the platform's known chat-like UI for higher completion rates. Like SurveyMonkey's version, it reads as a staff evaluation form rather than a purpose-built client-experience survey with interaction-level detail. It's a solid quick-start option but stays at the level of standard rating questions.
What it does well
- Conversational, chat-style question flow that can improve completion rates on mobile
- Ready-to-use template needing minimal setup
- Clean, modern respondent-facing design typical of SurveySparrow forms
Where it falls short
- No adaptive AI interview to dig into the specific moment that drove a client's score
- No automated quality scoring of open-ended responses
- No transparent, published prompt logic for how any follow-up questions are generated
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.