Customer Experience Survey Template

What Questions Are in This Customer Experience Survey Template?

This template packs 6 questions across 7 screens, each targeting a different dimension of the customer experience. Together, they give you a multi-layered view — not just "are they happy?" but "what do they value, what do they hate about the price, and would they tell someone else to buy it?" Here's how each question earns its place:

• "How would you describe our products?" (4-option choice: Super Awesome, Good, Not That Great, Disappointing) — This is your product sentiment screener. Four options instead of five forces respondents off the fence — there's no "neutral" hiding spot. The casual language ("super awesome" vs. "disappointing") lowers the cognitive barrier and produces more honest responses than corporate scale labels like "very satisfied." If more than 15% of respondents select "Not That Great" or "Disappointing," you've got a product problem that no amount of CX optimization will fix.
• "What are your 3 favorite features?" (Multi-select: UI/UX, Integrations, Navigation, HTML, Customization) — Feature preference data is gold for product teams. Knowing that 70% of respondents pick "Integrations" and only 8% pick "HTML" tells you where your product's perceived value lives — and where it doesn't. Customize these options to match your actual feature set. Use AI-powered feedback analytics to cross-reference feature preferences with NPS scores and find which features drive loyalty.
• "Could you please rate the product based on pricing?" (Rating scale) — Pricing perception is one of the hardest CX signals to capture because customers rarely volunteer it. This question forces the conversation. A rating of 3/5 on pricing from a customer who rated the product "Super Awesome" tells you something very different than a 3/5 from someone who said "Not That Great." Cross-reference these dimensions — product quality × pricing satisfaction reveals your value perception sweet spot.
• "Is our customer support efficient?" (Yes/No) — Binary by design. A yes/no question about support efficiency gives you the clearest possible signal with the least friction. If 40% say "No," you don't need a detailed diagnostic to know you have a support problem. Start there, then deploy a customer service feedback survey to dig into the specifics.
• "How'd you rate our product based on availability?" (Rating scale) — Availability means different things depending on your product. For SaaS, it's uptime and reliability. For physical products, it's inventory and stock. For services, it's appointment availability and response time. This question catches a dimension that satisfaction surveys miss entirely — customers can be satisfied with your product but frustrated by how hard it is to access.
• "How likely are you to recommend us to a friend or colleague?" (0-10 NPS scale) — The Net Promoter Score question, embedded at the end of a CX survey. Placing NPS last is intentional — respondents have already reflected on product, features, pricing, and support, so their recommendation score is informed rather than reflexive. Calculate your NPS: (% Promoters 9-10) minus (% Detractors 0-6). Cross-reference NPS with the product description question to see whether product quality or pricing drives loyalty in your customer base.

CX Survey vs. CSAT Survey vs. NPS Survey — They're Not the Same Thing

These three survey types get used interchangeably, and they shouldn't be. Each measures a different slice of the customer relationship, and using the wrong one at the wrong moment gives you data that looks useful but misleads:

• A customer experience survey template (this one) measures the full relationship. Product quality, feature preference, pricing perception, support, availability, and loyalty intent. It's the broadest of the three — a CX health check that covers multiple dimensions in one survey. Use it quarterly or at major lifecycle moments (post-onboarding, pre-renewal, post-major-update).
• A CSAT survey measures satisfaction with a specific interaction. Post-purchase, post-support, post-delivery. It's narrow and transactional. Use it frequently, tied to specific touchpoints. A customer can have a great CX score and a terrible CSAT on their last support interaction — both are true, and they tell you different things.
• An NPS survey measures loyalty and recommendation intent. It's the simplest of the three — one question. This CX template already includes NPS as its final question, giving you loyalty data in context alongside product, pricing, and support data. Use standalone NPS surveys for periodic relationship-level tracking between CX surveys.

The teams that get CX right don't pick one — they use all three at different frequencies and touchpoints. This customer experience survey template quarterly, CSAT per-interaction, NPS semi-annually. Read more about designing a multi-metric CX program.

Who Should Use This Customer Experience Survey Template?

A 6-question CX survey isn't right for every touchpoint — it's too broad for transactional feedback and too short for annual deep-dives. Here's where it fits perfectly:

• Product managers running quarterly experience checks — The feature preference and product description questions give you data that product analytics miss. Analytics show what customers do; this survey shows what they think about what they do. That gap is where product strategy lives.
• Customer success teams monitoring account health — Deploy this 90 days into the relationship and again pre-renewal. The NPS and support efficiency questions are leading indicators of renewal risk. A customer who rates support "No" and gives you a 6 on NPS is at risk — even if their usage metrics look fine.
• SaaS companies measuring product-market fit — The product description question ("Super Awesome" to "Disappointing") is a quick proxy for product-market fit. If over 60% say "Super Awesome" or "Good," and NPS is above 30, your product-market fit is healthy. Below those thresholds, you have work to do.
• CX leaders benchmarking across segments — Run this survey across customer cohorts (enterprise vs. SMB, new vs. tenured, high-usage vs. low-usage) and compare the results. The pricing question alone will show you whether your value perception holds across segments or breaks down at scale.

How to Analyze CX Survey Results Beyond the Dashboard

A CX dashboard with six metrics is a starting point, not a conclusion. Here's how to extract decisions from this customer experience survey template's data:

• Cross-reference product quality with NPS. Customers who rate the product "Super Awesome" but give an NPS of 6-7 are dissatisfied about something else — pricing, support, or availability. The product is fine; the experience around it isn't. This cross-reference identifies the non-product friction that threatens loyalty.
• Build a feature-loyalty matrix. Map feature preferences (Q2) against NPS scores (Q6). Features selected disproportionately by Promoters (9-10) are your loyalty drivers. Features selected by Detractors (0-6) are table stakes — customers expect them but they don't create loyalty. Invest in loyalty drivers; maintain table stakes.
• Track the pricing-quality gap over time. If product quality ratings stay flat but pricing ratings drop, you have a value perception erosion problem — customers think the product is the same but the price isn't justified. If both drop together, you have a product quality problem that happens to also feel overpriced.
• Use sentiment analysis on the verbatims. Even though most questions in this template are structured, the feature preference question produces combinatorial data that benefits from clustering. Use Zonka's reporting to spot segment-level patterns in feature selections.