Q01
Message
All templatesCustomer Experience
Coffee Shop Customer Experience & Loyalty Survey
Captures how customers rate your drinks, wait time, staff, and atmosphere on their most recent visit, plus their likelihood to return. An AI follow-up digs into the specific moment that shaped their rating so you know exactly what to fix or protect.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last 30 days, how often have you visited this coffee shop?
- Daily
- A few times a week
- About once a week
- A few times a month
- This was my first visit
Q03
Multiple Choice
What did you order on your most recent visit?
- Hot coffee or espresso drink
- Cold brew or iced coffee
- Tea
- Food item only
- Both a drink and food
Q04
NumberRequired
About how many minutes did you wait from ordering to getting your drink in hand?
Q05
Opinion ScaleRequired
How would you rate the quality of your drink on that visit — taste, temperature, and consistency with what you ordered?
Scale: 1 – 5
Min:PoorMax:Excellent
Q06
Rating ScaleRequired
How would you rate the friendliness of the staff who served you?
Range: 1 – 5
Min:UnfriendlyMax:Extremely friendly
Q07
MatrixRequired
How would you rate the shop on each of the following?
5 rows × 5 columns
- Cleanliness
- Seating comfort
- Noise level
- Music and ambiance
- Suitability for working or studying
Columns: Poor · Fair · Good · Very good · Excellent
Q08
Opinion ScaleRequired
How likely are you to recommend this coffee shop to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview
Reconstruct the single moment from the respondent's most recent visit that most shaped their recommend-likelihood score, anchoring on whatever they rated lowest among drink quality, wait time, staff friendliness, or atmosphere. If they gave a high score across the board, probe what would make them an even more frequent customer; if they gave a low score, get specifics on what happened and whether it's a one-off or a pattern for them.
Q10
Multiple Choice
Are you a member of this coffee shop's loyalty or rewards program?
- Yes, and I use it regularly
- Yes, but I rarely use it
- No, but I'm aware of it
- No, I didn't know there was one
Q11
Best–Worst Trade-off (MaxDiff)
If we could only fix a few things, which of these would matter most to you?
- Faster service
- Better drink quality or consistency
- Friendlier staff
- More comfortable seating
- Cleaner space
- Better food options
- More loyalty rewards or discounts
- Better wifi or workspace setup
Pick best & worst per setBest:Matters mostWorst:Matters least
Q12
Long Text
Is there anything specific we could do to earn a 10 out of 10 from you next time?
Q13
Multiple Choice
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
Q14
Message
That's everything — thank you for the honest feedback! We'll use your answers to fix pain points and keep doing what's already working.
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 a dedicated AI follow-up interview block that reconstructs the exact moment from the respondent's most recent visit that shaped their rating, going beyond static ratings to uncover the 'why' behind the score
- Combines structured metrics (visit frequency, wait time, drink quality, staff friendliness, matrix ratings, NPS-style likelihood to recommend) with open-ended and MaxDiff prioritization so you get both quantifiable benchmarks and a ranked list of what to fix first
- Captures loyalty program membership and demographic (age range) segmentation alongside experience data, letting you cross-reference satisfaction with customer type
- Closes with a direct open-ended prompt asking what would earn a 10/10 next time, giving actionable, verbatim improvement ideas rather than just a satisfaction number
SurveyMonkey
Customer Experience Survey Template & QuestionsA general-purpose customer experience template with a broad question bank covering satisfaction, service, and likelihood to return. It's built for wide applicability across industries rather than coffee shop specifics like drink quality or wait time between order and pickup. Fielding-ready but static — every respondent sees the same fixed question set.
What it does well
- Large, well-established question bank for customer experience topics
- Easy to deploy quickly with familiar survey-builder UI
- Broad applicability across many business types
Where it falls short
- No adaptive AI follow-up to probe the specific moment behind a rating — relies on fixed multiple-choice/scale questions
- No published methodology or transparent prompt logic for how questions were selected
- No voice AI interview or guided screen-share task option
SurveySparrow
Customer Loyalty Questionnaire TemplateThis template focuses specifically on loyalty metrics (repeat visits, recommend likelihood, rewards program engagement) using SurveySparrow's conversational, chat-style question format. It reads well on mobile but is still a fixed question flow rather than a dynamic interview. No coffee-shop-specific elements like wait time or drink-order tracking are present.
What it does well
- Conversational, chat-style UI that feels more engaging than a traditional form
- Purpose-built around loyalty and retention metrics
- Mobile-friendly presentation
Where it falls short
- Conversational format is scripted, not adaptive — it can't reconstruct a specific visit moment through follow-up questioning
- No per-response quality scoring or automated flagging of low-effort answers
- No transparent, publishable prompt/methodology documentation
Typeform
Customer Loyalty Survey TemplateTypeform's loyalty template offers a clean, one-question-at-a-time design well suited for NPS-style loyalty tracking. It's a static template that can use basic branching logic but doesn't dynamically generate new questions based on a respondent's specific answer. No coffee-shop-specific fields (drink orders, wait time, staff ratings) are included out of the box.
What it does well
- Polished, distraction-free one-question-per-screen design
- Simple branching/logic jumps for basic personalization
- Strong brand reputation for completion rates on short surveys
Where it falls short
- Branching logic is rule-based, not an AI-driven adaptive interview that probes an individual respondent's stated experience
- No voice interview mode or guided screen-share tasks
- No automated per-response quality scoring or auto-generated analysis report
Frequently asked questions
What questions are in the “Coffee Shop Customer Experience & Loyalty Survey” template?
The template includes 14 ready-to-use questions, starting with: “Thanks for stopping in! We'd love your honest take on your recent visit — drinks, service, the whole vibe. Takes about 8…” · “In the last 30 days, how often have you visited this coffee shop?” · “What did you order on your most recent visit?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 14 questions in about 7 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies on similar topics.
Customer Experience
Post-Purchase Voice Interview: Choice, Fit & Recommend
A voice-first interview for customers who recently bought your product, capturing why they chose it over alternatives, how the first-use experience went, and whether they'd recommend it. Short closed questions anchor the context; the AI voice interview does the real work, reconstructing the purchase story and probing the reasoning behind their recommendation score. Built for CX and product marketing teams.
View templateCustomer Experience
Fast Food Customer Experience & Loyalty Survey
Measures satisfaction with speed, accuracy, food quality, and value at a quick-service restaurant, plus what drives repeat visits and recommendations. An AI follow-up interview reconstructs exactly what happened on the customer's most recent visit — especially when something went wrong — instead of settling for a star rating.
View templateCustomer Experience
Guest Experience & Satisfaction Feedback Survey
Captures how guests rate their visit across cleanliness, staff service, value, and amenities, plus their likelihood to recommend and return. An AI follow-up interview digs into the specific moment behind their score — what went right or wrong and why — so you get root causes, not just numbers.
View templateCustomer Experience
Small Business Customer Satisfaction & Loyalty Survey
Tracks how satisfied customers are with a local or small business — overall experience, specific touchpoints like staff and value, and likelihood to return or recommend — with an AI follow-up that digs into the real story behind each customer's score. Built for owners and managers who want concrete, actionable feedback in under 5 minutes.
View templateCustomer Experience
Restaurant Dining Experience Feedback Survey
Captures how diners rate food, service, value, and atmosphere after a specific visit, plus their likelihood to recommend and return. An AI follow-up interview digs into the concrete moment behind their recommendation score — what stood out or went wrong — so the team gets specifics they can act on, not just star ratings.
View templateCustomer Experience
Post-Purchase Customer Review & Satisfaction Survey
Captures how customers rate their recent purchase or service experience, which specific aspects drove that rating, and whether they'd buy again — with an AI follow-up interview that digs into the real moment behind their score instead of a generic star rating.
View template