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Customer Feedback & Experience Pulse Survey

A general-purpose feedback survey that tracks recommendation likelihood, satisfaction, and which service aspects matter most to fix first — paired with an AI follow-up interview that digs into the specific moment behind each customer's score instead of a generic comment box.

Sample questions

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

11 questions · ~6 min
Q01
Message

Hi! We'd love your honest feedback on your recent experience with us — it helps us fix what matters most. This will take about 5 minutes.

Q02
Opinion ScaleRequired

How likely are you to recommend (Replace with Company Name) to a friend or colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q03
Rating ScaleRequired

Overall, how satisfied were you with your most recent experience with us?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired

Please rate each part of your experience with us.

5 rows × 5 columns
  • Product or service quality
  • Customer support responsiveness
  • Value for the price
  • Ease of doing business with us
  • Clarity of communication
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Best–Worst Trade-off (MaxDiff)Required

If we could only improve a few things, which matter most and least to you?

  • Product or service quality
  • Pricing
  • Speed of customer support
  • Ease of use
  • Communication and updates
  • Onboarding or setup experience
  • Reliability and consistency
Pick best & worst per setBest:Most important to improveWorst:Least important to improve
Q06
Multiple ChoiceRequired

How likely are you to buy from us again or continue your subscription in the next 3 months?

  • Very likely
  • Somewhat likely
  • Neutral
  • Somewhat unlikely
  • Very unlikely
Q07
AI Interview

Reconstruct the specific experience behind the respondent's recommendation and satisfaction scores: what exactly happened, when, and with which product, team, or channel. If they gave a low score, probe the single biggest moment of friction and what would have fixed it; if they gave a high score, probe what specifically stood out so it can be repeated. Anchor follow-ups on the aspect they rated lowest in the experience ratings above.

Q08
Long Text

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

Q09
Multiple Choice

How long have you been a customer with us?

  • Less than 3 months
  • 3–12 months
  • 1–3 years
  • More than 3 years
  • Prefer not to say
Q10
Multiple Choice

Which age range do you fall into?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q11
Message

Thank you for sharing your feedback! Your responses go directly into our experience improvement reviews, and your AI interview answers help us understand exactly what to fix next.

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 core metrics (recommendation likelihood, satisfaction rating, and a matrix rating of experience aspects) with a MaxDiff prioritization question so teams know what to fix first, not just how people feel.
  • Pairs every score with an AI follow-up interview that reconstructs the specific experience behind that score, replacing a generic open-text box with a real probing conversation.
  • Includes repurchase/renewal intent and tenure/demographic segmentation questions, so results can be cut by customer lifecycle stage and loyalty risk.
  • Opens and closes with on-brand chat messages, giving the survey a conversational feel end-to-end rather than a plain form.

Jotform

Bar Customer Feedback Form Template

This is a niche, industry-specific form built for bars rather than a general-purpose customer experience survey, so it's only loosely comparable. It's a ready-to-use static form builder template, easily customizable with Jotform's drag-and-drop editor, but has no built-in prioritization or follow-up logic beyond basic conditional fields.

What it does well

  • Purpose-built questions tailored to a specific hospitality use case (bar service, drinks, atmosphere)
  • Easy to customize and embed via Jotform's form builder
  • Free to use as a starting template

Where it falls short

  • Static form with no adaptive follow-up questioning based on a respondent's specific answer
  • No mechanism to surface which service aspects matter most vs. least (no prioritization method like MaxDiff)
  • No automated per-response quality scoring or AI-generated analysis report

SurveyMonkey

Customer Service Survey Template (With Questions)

A general customer service satisfaction template backed by SurveyMonkey's established survey platform and analytics dashboard. It's fielding-ready out of the box, but it's a fixed question set aimed at satisfaction tracking rather than root-cause discovery. Follow-up detail relies on standard open-text boxes.

What it does well

  • Backed by a well-known survey platform with strong analytics and benchmarking
  • Fielding-ready template with pre-written question logic
  • Wide range of distribution channels supported

Where it falls short

  • No adaptive AI interview to dig into the specific moment behind a low or high score
  • No transparent, published prompt/methodology for how open responses are interpreted
  • Relies on generic comment fields instead of a guided task or voice interview for depth

SurveySparrow

Customer Service Feedback Survey Template

SurveySparrow's template leans into a conversational, chat-style survey format similar in spirit to QuestionPunk's chat messages. It covers standard satisfaction and service questions but lacks a true adaptive interview layer that reacts to each individual's response in real time.

What it does well

  • Conversational, chat-like UI that feels more engaging than a plain form
  • Ready-made template usable directly for fielding
  • Part of a broader platform with reporting and automation features

Where it falls short

  • Conversational UI is scripted, not an adaptive AI interview that probes based on the specific answer given
  • No voice AI interview or guided screen-share task option
  • No published transparent prompt methodology or automated quality scoring per response

Typeform

Customer Feedback Form Template

Typeform's template offers a clean, one-question-at-a-time format known for high completion rates, aimed at general customer feedback. It's ready to field immediately, but like other form builders it's a fixed sequence of questions without follow-up logic tied to the content of an answer.

What it does well

  • Polished, high-conversion one-question-at-a-time interface
  • Ready-to-use template requiring minimal setup
  • Strong design customization options

Where it falls short

  • No adaptive AI follow-up interview or voice interview option to explore the reasoning behind a score
  • No built-in prioritization question (e.g., MaxDiff) to identify which issues matter most to fix first
  • No automated quality scoring or AI-generated report of response content

Ready to launch?

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