Free PDF · Call Center

CSAT / NPS Survey Template

Ready-to-deploy post-contact survey templates for CSAT, NPS, and CES, with question wording, scales, scoring formulas, and channel-specific delivery guidance. Use it to measure how callers feel after an interaction and turn the scores into coaching and process fixes.

✓ Which metric to use, and when
✓ Survey Question Bank
✓ Scoring Formulas
✓ Channel Delivery Guide

★★★★★Trusted by 3,000+ buyers· built from 75 call center software tools· independent

PDF · FreeCSAT / NPS Survey Template

Where should we send it? Free · arrives in seconds · no spam.

We email it to you — one-click unsubscribe anytime.

1Tell us where to send it
Your name and work email — nothing more.
2Check your inbox
Your PDF arrives in seconds, not days.
3Use it with your team
Editable and ready to share — make it your own.

A peek inside

See exactly what you're getting

Free PDF

Spotsaas · 2026

CSAT / NPS Survey Template

✓ Which metric to use, and when

✓ Survey Question Bank

✓ Scoring Formulas

✓ Channel Delivery Guide

Get the PDF →

What it is

The CSAT / NPS Survey Template is a set of ready-to-deploy post-contact surveys — covering CSAT (customer satisfaction), NPS (Net Promoter Score), and CES (Customer Effort Score) — complete with question wording, rating scales, scoring formulas, and channel-specific delivery guidance. It exists because measuring how a caller felt after an interaction is deceptively easy to do badly: the wrong question, the wrong scale, the wrong channel, or scores you can’t attribute to anything actionable, and you end up with a number that looks like insight but isn’t.

The template helps you choose the right metric for the job — CSAT for transactional satisfaction right after a contact, NPS for relationship-level loyalty, CES for how much effort the customer had to expend — and then gives you a vetted question bank, the scoring formula for each, and a channel delivery guide. That delivery guide is one of the most practical parts: a post-call IVR survey offered at the end of the call gets the highest attribution; an SMS survey sent within minutes of call-end gets strong response if kept to one tap; email suits longer relationship and NPS surveys; and post-chat surveys present inline the moment the conversation closes.

Crucially, the template insists that you pass agent ID, call or contact ID, queue, and disposition into the survey so the results are sliceable and coachable — a satisfaction score you can’t tie to an agent, a queue, or a contact reason is almost useless for improvement. It also covers turning scores into action: closing the loop on detractors and low-CSAT verbatims within an SLA, attributing scores correctly, mining the open-ended comments for themes, and separating agent-controllable scores from process or product issues before any coaching happens.

What it's used for

Customer-experience metrics are only valuable if they’re measured cleanly and acted on. This template exists to do both — to capture how callers feel and to turn those feelings into specific improvements. Teams use it to:

✓ Choose the right metric for the question being asked — CSAT for transactional satisfaction, NPS for relationship loyalty, CES for customer effort — rather than defaulting to whichever is most familiar.
✓ Deploy vetted survey question wording and scales so the survey measures what it intends to, instead of a homegrown question that biases or confuses respondents.
✓ Pick the right delivery channel — post-call IVR, SMS, email, or post-chat — based on attribution strength and response rate for the metric being measured.
✓ Attach agent ID, contact ID, queue, and disposition to every response so scores can be sliced by agent, team, and contact reason and turned into targeted coaching.
✓ Close the loop on detractors and low-CSAT verbatims within a defined SLA, so a bad experience triggers a fast, accountable follow-up rather than disappearing into a dashboard.
✓ Analyze open-ended verbatim comments for recurring themes, because the number tells you the score but the comments tell you why.
✓ Separate agent-controllable scores from process and product issues before coaching, so agents aren’t penalized for problems outside their control — and avoid survey fatigue by capping frequency per customer.

Who uses it

Customer-experience measurement spans the front line that earns the scores, the analysts who interpret them, and the leaders who set the strategy. The roles that rely on this template include:

CX / Customer Experience ManagersThey own the survey program — choosing metrics, deploying surveys, and turning the results into a closed-loop process that improves the experience rather than just reporting on it.

Contact Center Operations LeadersThey watch CSAT and NPS as headline outcomes alongside service level and FCR, and use the attributed scores to see which queues and processes are dragging the experience down.

Team Leads / SupervisorsThey use agent-attributed scores and verbatims in coaching, focusing on agent-controllable behaviors while flagging process and product issues that aren’t the agent’s fault.

Reporting / CX AnalystsThey slice scores by agent, queue, and disposition and mine the open-ended verbatims for themes, surfacing the recurring drivers of satisfaction and dissatisfaction.

QA TeamsThey correlate survey scores with QA scores to understand where good process produces good experience — and where a high-process call still left the customer unhappy.

Product / Process Improvement TeamsThey consume the themes from detractor verbatims to fix the root causes — the product gaps and broken processes — that no amount of agent coaching can solve.

Context & good to know

CSAT, NPS, and CES each measure something different, and using the wrong one is a common mistake. CSAT asks “how satisfied were you with this interaction?” and is ideal right after a contact. NPS asks “how likely are you to recommend us?” and measures relationship-level loyalty, not a single transaction. CES asks “how easy was it to get your issue resolved?” and is a strong predictor of loyalty for service interactions because effort drives churn. The template helps teams match metric to question rather than slapping NPS on every interaction because it’s the metric they’ve heard of.

Attribution is the difference between a survey program that drives improvement and one that just produces a wall-mounted number. A CSAT score of 4.2 tells you nothing actionable; a CSAT of 4.2 that’s 4.7 in the billing queue and 3.6 in technical support, lower for one agent and higher for another, points you exactly where to look. That’s why the template insists on passing agent ID, contact ID, queue, and disposition into every survey — attribution is what makes the score coachable. Most contact-center platforms (Talkdesk, Five9, Nextiva, CloudTalk) and the survey tools they integrate with support passing this metadata through.

The hardest discipline in CX measurement is closing the loop and separating signal from noise. A detractor or a one-star verbatim is a service-recovery opportunity that decays by the hour, which is why the template calls for following up within an SLA. And the verbatims matter more than the score — the number tells you something is wrong, the open-ended comments tell you what. Finally, before any of this becomes coaching, agent-controllable issues must be separated from process and product problems; penalizing an agent for a low score caused by a billing system they don’t control destroys trust and fixes nothing. The strongest operations use surveys to diagnose the system, not just to rank the agents.

✓ Independent · vendors can't pay to rank

Built on verified data, not vendor spin

Every Spotsaas resource draws on the Spotsaas Score — a blend of verified review ratings, review volume, and feature depth across 75 call center software tools. Refreshed regularly; data as of June 2026.

FAQ

Questions, answered

What is the difference between CSAT, NPS, and CES?

CSAT (Customer Satisfaction) measures how satisfied a customer was with a specific interaction, usually right after it. NPS (Net Promoter Score) measures relationship-level loyalty by asking how likely they are to recommend you, on a 0-10 scale. CES (Customer Effort Score) measures how easy it was to get their issue resolved. They answer different questions — transactional satisfaction, overall loyalty, and effort — and the template helps you pick the right one for what you’re trying to learn.

How is NPS calculated?

NPS uses a 0-10 “how likely to recommend” question. Respondents scoring 9-10 are Promoters, 7-8 are Passives, and 0-6 are Detractors. The score is the percentage of Promoters minus the percentage of Detractors, producing a number from -100 to +100. Passives count toward the total but not the score. The template includes the formula and the question wording so the metric is calculated consistently.

How is CSAT scored?

CSAT is usually a satisfaction rating — often a 1-5 scale or a thumbs up/down — asked immediately after a contact. The CSAT score is typically the percentage of responses in the top one or two “satisfied” boxes out of all responses. Because it’s tied to a single interaction, CSAT is the most direct measure of how a specific call or chat went, which makes it the most coachable of the three when attributed to an agent and disposition.

Which survey channel gets the best response?

It depends on the metric and the trade-off between attribution and reach. A post-call IVR survey offered at the end of the call has the highest attribution because it’s tied directly to the interaction. SMS sent within minutes of call-end gets strong response rates if kept to a single tap. Email suits longer relationship and NPS surveys. Post-chat surveys present inline the moment the chat closes. The template’s channel guide matches each to its best use.

Why pass agent ID and disposition into the survey?

Because an aggregate score isn’t actionable — you need to know whose calls and what kind of calls earned which scores. Passing agent ID, contact ID, queue, and disposition lets you slice satisfaction by agent, team, and contact reason, turning a flat number into targeted insight. Without this metadata, you can see that satisfaction dropped but not where or why, which makes coaching and process improvement guesswork.

What does it mean to close the loop on a survey?

Closing the loop means following up directly with a customer who gave a low score or a negative comment — ideally within a defined SLA — to acknowledge the problem and attempt service recovery. A detractor is a recovery opportunity that decays quickly. Operations that close the loop turn unhappy customers around and learn the specifics behind the score; operations that just log the number lose both the customer and the lesson.

Why analyze the open-ended verbatims and not just the scores?

Because the number tells you that something is wrong, but the verbatim tells you what. A dip in CSAT is a signal; the comments behind it — “I was transferred four times,” “the system was down,” “the agent was rude” — are the diagnosis. Mining verbatims for recurring themes surfaces the real drivers of satisfaction and dissatisfaction, many of which are process or product issues that no amount of staring at the score would reveal.

How do I avoid penalizing agents for things they don’t control?

Separate agent-controllable scores from process and product issues before coaching. If a customer rates a call poorly because of a billing error or a system outage, that’s not the agent’s failure — they may have handled it perfectly. Penalizing the agent for an uncontrollable factor destroys trust in the program. The template stresses this separation so survey data improves both agent behavior and the underlying systems, rather than scapegoating the front line.

What is survey fatigue and how do I prevent it?

Survey fatigue is when customers are surveyed so often they stop responding or respond carelessly, degrading both response rates and data quality. It also annoys customers, which is itself a satisfaction hit. The fix is to cap survey frequency per customer — for example, no more than once per defined period — and to keep surveys short. The template includes frequency-capping guidance so your measurement doesn’t become a source of dissatisfaction.

How does CSAT relate to QA scores and FCR?

They’re complementary. QA measures whether the agent followed best practices; CSAT measures how the customer felt; FCR measures whether the issue was solved in one contact. They usually correlate — good process and first-contact resolution tend to produce satisfied customers — but not always, because a call can be handled perfectly and still leave a customer unhappy if the underlying issue can’t be resolved. Strong operations track all three together to understand the full picture.

Keep exploring