Call Center Survey Template
Use this short post-call call center survey to track CSAT, CES, and First Contact Resolution (FCR) without slowing customers down. The wording is SMS-ready, the core flow fits 60-90 seconds, and the optional modules let you diagnose wait/hold, transfers, and next-step clarity. Use the results workflow to turn scores into agent coaching and operational fixes by queue, reason code, and vendor site.
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Choose Your Core Metric: CSAT vs CES vs NPS (Call Center Use)
Goal: Pick one primary score you can trend weekly, then add only the extra items that change coaching or process decisions.
Default: CSAT + CES + FCR for every post-call survey; add NPS only when you also run relationship tracking.
Change it if: You must keep the survey under 30 seconds. In that case, run CSAT + FCR and rotate CES into a subset of invites.
| Metric | What it measures | Best use in a call center | Copy-ready question wording | Common mistakes to avoid |
|---|---|---|---|---|
| Customer satisfaction (CSAT) | How satisfied the customer feels about this specific call. | Your default post-call outcome metric. Trend it by agent, queue, and reason code. | "Overall, how satisfied were you with the support you received today?" Scale: 1 (Very dissatisfied) to 5 (Very satisfied) | Using unlabeled scales. Keep endpoints labeled so customers answer consistently. |
| Customer Effort Score (CES) | How easy it was to get help (effort). | Diagnose friction that drives repeat calls: transfers, hold time, re-explaining, unclear next steps. Effort is often a loyalty driver in service interactions (see Harvard Business Review's Stop Trying to Delight Your Customers). | "How easy was it to get your issue handled today?" Scale: 1 (Very difficult) to 5 (Very easy) | Asking CES only when the call went well. Keep it in all invites so you can find friction in low-score calls. |
| Net Promoter Score (NPS) | Relationship loyalty and likelihood to recommend the company. | Optional add-on when you explicitly want relationship tracking across channels and time. NPS was designed as a growth/relationship metric, not a post-call replacement (see Harvard Business Review's The One Number You Need to Grow). | "How likely are you to recommend [Company] to a friend or colleague?" Scale: 0 (Not at all likely) to 10 (Extremely likely) | Replacing post-call CSAT/CES with NPS. NPS will not tell you what broke in the interaction. |
| Default bundle | Outcome + friction + resolution. | Use CSAT + CES + FCR to separate "agent experience" problems from "process/policy" problems. | CSAT (1-5) + CES (1-5) + FCR (Yes/No) + 1 driver question | Adding too many diagnostics at once. Keep one driver item and one comment box. |
Do next: Keep your core metric bundle fixed for 4-6 weeks, then change only one thing (wording, scale, or trigger) at a time.
Copy-Ready Post-Call Questions (Short Core + Optional Modules)
Goal: Capture a clean outcome score, a friction score, and a resolution flag you can act on by agent and queue.
Default: Use the first 4 questions as your always-on core; add 1 optional module only when you need it.
Change it if: You run multiple call types (billing vs tech). Keep Q1-Q3 constant and swap only the driver options.
"Overall, how satisfied were you with the support you received today?"
Why it matters: This is your primary post-call outcome score. You can trend it by agent, queue, and reason code.
When to use: Always. If you already run a customer satisfaction (CSAT) survey elsewhere, keep the scale and wording aligned.
"How easy was it to get your issue handled today?"
Why it matters: Effort separates "friendly agent" from "painful process." Low effort scores often point to transfers, repeats, and unclear next steps.
When to use: Always, as your friction check. Keep it consistent with your Customer Effort Score (CES) tracking.
"Was your issue resolved during this call?"
Why it matters: This is your FCR flag. Pair it with CSAT/CES to separate "unresolved" drivers from "resolved but frustrating" drivers.
When to use: Always. Use a strict Yes/No so the meaning stays stable over time.
"What was the main reason for your score today?"
Why it matters: One driver item gives you a clean tag for routing work: coaching vs policy vs systems vs staffing.
When to use: Always. Keep options short and operational.
Suggested answer options (edit to match your environment):
- Wait/hold time
- Number of transfers
- Agent knowledge or clarity
- Policy or process (what I was allowed to do)
- Follow-up needed (call back, email, case update)
- System/website/app issue
- Other
"How would you rate the agent you spoke with today?"
Why it matters: This helps coaching, but only if you already trust your routing and call-to-agent matching.
When to use: Optional. Use when agent-level coaching is a core goal and you can attach agent ID as metadata.
"What should we improve for future calls? (Please do not include sensitive information.)"
Why it matters: Verbatims explain the "why" behind low scores and point to broken steps, confusing scripts, and missing knowledge base content.
When to use: Optional but recommended. Keep it neutral so customers do not feel pushed to praise or blame.
"May we contact you to follow up on your feedback?"
Why it matters: You can close the loop without guessing consent. This also protects your agents from surprise outreach rules.
When to use: Optional. Use when you have a clear callback process and ownership (QA, supervisors, or a case team).
"How did you connect with us today?"
Why it matters: Channel context helps you fix the path into the queue (IVR vs callback vs direct-dial) without asking extra questions later.
When to use: Optional. Use when multiple entry points share the same agents and you need routing fixes.
Suggested options: Inbound call, Callback, IVR transfer, Outbound follow-up, Other.
Customization map (keep the survey short)
- Billing queue: Keep Q1-Q3. In the driver options, add "Billing explanation" and "Payment options"; remove "System/app issue" if not relevant.
- Technical support: Keep Q1-Q3. Add "Troubleshooting steps were clear" and "Issue requires engineering/back-end" as driver options.
- Escalations/transfers: Keep Q1-Q3. Add "Handoff between agents" and "Had to repeat information" as driver options.
Branching rules (use to diagnose without adding length)
- If Q3 = No (unresolved): Ask: "Do you understand the next step and when it will happen?" (Yes/No).
- If driver = transfers: Ask: "How was the handoff between agents?" (1-5).
- If driver = follow-up needed: Ask: "Were you given a clear timeframe for follow-up?" (Yes/No).
Do next: Lock your core (Q1-Q4), then decide one module to add based on your top repeat-call reason.
Deployment Playbook: Timing, Channel, Sampling, and Privacy
Goal: Get fast, comparable feedback without over-surveying, missing key queues, or collecting risky data.
Default: SMS link within 5 minutes of call end, 1 reminder max, and the same invite rules across all queues.
Change it if: The case closes later (callbacks/escalations). Trigger after the final touch, not the first call.
- Timing: Send right after the call so customers remember hold time, transfers, and next steps.
- Channel default (mobile-first): Use SMS with a short link and 1-screen questions; use email only when SMS consent or delivery is weak.
- Sampling rule (reduce bias): Invite across outcomes, agents, and queues. Do not survey only resolved calls, top-tier customers, or specific agents.
- Response rate interpretation: Do not panic if response rate is low. Focus on whether response patterns shift by queue, time, or agent (Pew Research explains why low response rates do not automatically mean biased estimates in What Low Response Rates Mean for Telephone Surveys).
- Track invites vs completes: Log sent/delivered/started/completed using consistent definitions so you can spot delivery problems and sampling gaps (align your outcomes to AAPOR Standard Definitions).
- Privacy and governance: Minimize PII. Do not ask for account numbers or payment details, and add a note above open text: "Please do not share sensitive information." Set retention and access rules so QA and ops use feedback consistently (see ISO's overview of customer satisfaction monitoring updates in Improving customer satisfaction with updated ISO series of standards).
Do next: Write down your invite rules (who gets invited, when, and via which channel) and hold them steady for at least one reporting cycle.
How to Read Results and Turn Scores Into Coaching and Fixes
Goal: Turn post-call scores into specific actions: coach agents, fix routing, update policy, and reduce repeat contacts.
Default: Review weekly trends for CSAT, CES, and FCR, then take action only when gaps repeat across weeks and segments.
Change it if: You are launching a new IVR, site, or vendor. Review daily for the first two weeks.
- Validate the data before you coach anyoneRemove test calls, confirm timestamps (call end to invite), and verify agent/queue tagging. Document your monitoring rules so the process stays consistent with guidance like ISO 10004 customer satisfaction monitoring and measuring.
- Report the core KPIs, then segment with metadata (not more questions)Trend CSAT, CES, and first contact resolution (FCR) overall and by queue, agent, site/vendor, language, reason code, transfer count, and handle time band. Keep customer-facing questions stable and pass segmentation fields as hidden parameters.
- Find the top drivers using your 1 driver item + verbatimsStart with the driver multiple-choice distribution for low-score calls, then read a small, fresh sample of comments per driver (for example, 20 per week). Tag repeat themes like "repeat info," "unclear next step," or "policy blocked."
- Trigger the right action: coaching vs process vs knowledge baseCoach when issues are behavior-based (tone, clarity, ownership). Fix operations when issues cluster by queue or time (staffing, IVR path, transfer rules). Update the knowledge base when comments show missing steps or outdated policy language.
- Close the loop on permissioned follow-upsRoute follow-up cases only when customers opted in. Track whether the follow-up reduced repeat contacts, not just whether the customer sounded calmer.
Do next: Create one weekly dashboard view (overall + top 5 segments) and one action log that records what you changed and when.
Frequently Asked Questions
What is a good default post-call survey for a call center?
Default: CSAT + CES + FCR, plus one driver multiple-choice item. Add one optional open-ended question only if you have time to read and tag comments every week.
Should I use NPS for a call center post-interaction survey?
Use NPS only if you are tracking relationship health over time. Do not replace post-call CSAT/CES with NPS, because NPS will not tell you what broke in the interaction. If you want it, add it as an optional item or run it on a separate cadence (for example, quarterly).
How many questions should a post-call survey have?
Aim for 5-8 questions total and a 60-90 second completion time. Keep diagnostics modular: rotate them, or branch them only when a customer says the issue was not resolved.
When should we send the call center survey: immediately or later?
Default: send immediately after the call so customers remember hold time, transfers, and next steps. Send later only when the case completes later (callbacks, escalations), and trigger after the final touch so "resolved" means the same thing.
How do we avoid bias when sampling call center surveys?
Invite across outcomes, queues, and agents, not just resolved calls or certain customer tiers. Track who was invited vs who responded, then watch for consistent gaps by time of day, language, queue, or vendor site.
What should we NOT ask in a call center customer survey?
Do not request sensitive details like account numbers, payment info, or full addresses. Avoid blame-oriented questions about individual agents, and do not ask customers to re-enter details you already have; capture agent ID, queue, and reason code as metadata instead.
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