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Customer service basics

Customer Service Resources: Templates, Scripts and Guides

Amrit Raj
Amrit Raj · Co-founder & CEO, Flowcall
·15 min read
Customer Service Resources: Templates, Scripts and Guides

Flowcall's customer service resources are free templates, scripts and example conversations for answering customers, and guides to measuring quality and running a support team. They're grouped below by the job you're doing, and written for teams handling orders, deliveries, returns and refunds on WhatsApp, Instagram, email, live chat and phone. All of them follow one standard: the customer explains once, the reply finishes the job, and every conversation gets checked.

That standard comes first below, as six checks you can run on your own conversations, because a template only helps once you know what a good reply has to do. For the order jobs themselves (order status, delivery problems, returns, refunds and cash on delivery), see our guide to ecommerce customer service.

In short

  • Good customer service at a consumer brand comes down to six standards: the customer explains once, the first reply answers, promises become actions, the tone fits the moment, open work has an owner, and every conversation is checked.
  • Templates and scripts give a reply its shape. The facts in it (the order, the courier's latest scan, the refund reference) have to come from your systems.
  • Measure outcomes and quality across every conversation, AI and human, not only how fast the first reply went out.
  • The resources are grouped by job: answering customers, measuring and improving, running the team, and the basics for new starters.

What good customer service looks like at a consumer brand

We judge a support team by what the customer has to do to get an outcome, and by whether the outcome happens. Speed matters, but a fast reply that asks for an order number the brand already has, or promises a refund nobody submits, is fast and still poor. Six standards cover what we look for, and each one can be checked on last week's conversations.

Standard What it looks like Check it on last week's conversations
The customer explains once Whoever replies, on any channel or after a handoff, already has the order, the history and what was said Count replies that asked for an order number, photo or detail the customer had already given
The first reply answers or acts It uses the order's facts and gives the next step with a time Read 20 first replies. How many could have been sent without opening the order?
Promises become actions The refund, replacement or change is made in the system that owns it, and the customer gets the reference Compare the refunds and replacements promised in conversations with the ones actually created
The tone fits the moment One sincere apology when the brand is at fault, then the fix; an upset customer reaches an agent who can decide, early Where a customer asked for a manager, how many replies went out before an agent with authority joined?
Open work has an owner and a clock Work waiting on the warehouse, courier or finance stays open, assigned and dated until it's done List the tickets closed as "raised to the team". Which were finished, and does anyone know?
Every conversation is checked AI and human conversations are reviewed against the same written rules, and fixes go back into the rules What share of last week's conversations did anyone review?

The customer explains once, and the first reply answers

Customers get asked to repeat themselves when the facts sit somewhere else: the order in Shopify or the order management system, the latest scan in the courier's portal, the refund with the payment gateway. An agent who has to go and find them either asks the customer or sends a reply that could fit any order. The same happens across channels, and keeping one conversation when a customer moves from Instagram to WhatsApp is what omnichannel customer service means.

Here is one message answered two ways. A customer writes on WhatsApp: "I ordered a blender six days ago and it still hasn't come. Where is it?"

Reply A: "Dear customer, we regret the inconvenience caused. Your order is being processed and will be delivered soon. Kindly share your order number for further assistance."

Reply B: "Hi Meera, sorry, your blender (order 20418) should have reached you yesterday. The courier's last scan shows it held at their Pune hub since Monday, and their new delivery date is Friday. You'll get a message here when it's out for delivery, and if Friday doesn't suit you, reply with a better day."

Reply A asks for a number the brand already has: the chat came from the phone number on the order. Reply B apologises once, gives three facts from the order and the courier, sets a date, says what happens next and asks the customer for nothing. A good template gives you Reply B's shape: acknowledge, state the fact, give the next step with a time, and say what the customer can do. The facts have to come from the order.

Reply B is quick to write only when those facts are already on screen. We built Flowcall's AI Helpdesk to put everything an agent needs to answer and act on a case in the ticket. Customer 360 shows the customer's orders, delivery, payments, refunds and past conversations, Agent Assist drafts the reply, and ticket actions let the agent make the refund, replacement or order change from the ticket, with the form already filled from the conversation. When the same customer writes on another channel while the issue is open, Flowcall keeps it on the same ticket with the whole history.

Promises become actions, and open work has an owner

"We've raised a refund request" moves the work; it doesn't finish it. The job is done when the refund is submitted against the original payment, the replacement is created in the warehouse system or the address is changed before dispatch, and the customer has the reference. When another team has to finish the job, the customer's issue needs an owner and a deadline until they do, which is the core of escalation management.

Flowcall's AI Agent runs on the SOP Engine: it follows your SOP for a return, refund, exchange, cancellation or replacement step by step, your rules make each decision, and it checks order, delivery and payment data in your systems before it completes the action. When an agent is needed, it hands over a ticket with the conversation, a summary, the order and what's left to do. Work for the warehouse, logistics or finance goes into child tickets, and the customer's ticket stays open and owned until every one is done.

The tone fits the moment

An upset customer needs one sincere apology, the fact and the fix, not more apology. Saying sorry in every line reads as a script, and "as per policy" reads as a refusal. When a customer asks for a manager or threatens a public post, the next reply should come from an agent or team lead who can decide, not from the back of the same queue.

Flowcall's complaint and escalation handling checks every incoming message for frustration, aggression, threats to escalate and requests for an agent, and flags the conversation. Frustrated or escalation-risk customers skip the queue and go to the right team or agent, before the complaint reaches social media or leadership.

Every conversation is checked

A weekly scorecard on a small sample catches what someone happens to read. The failures customers remember (being asked twice for the same photo, a bot that loops, a promise nobody kept) sit in the conversations nobody read. Review AI and human conversations against the same written standards, and when a finding repeats, change the rule, the template or the workflow, not only the agent.

Flowcall's AI Auto QA audits AI and human conversations on WhatsApp, Instagram, Messenger, Live Chat, email and phone against your standards: every conversation, or the ones that matter, such as low CSAT. It flags agents who ask again for details the customer already gave and AI answers that are wrong, loop or hand over late, quotes the conversation in each finding, and groups the requests the AI couldn't resolve into the workflows or knowledge worth adding next.

Customer service resources, by the job you're doing

Every resource below is free, with no form to fill in, and written for order, delivery, return and refund work on the channels consumer brands use. New guides are added here as they're published.

Answering customers well

Templates and scripts for the replies your team sends every day, and for the moments that decide whether a customer stays.

Templates and scripts

  • Customer service email templates. Fifteen copy-ready emails with subject lines, for order updates and delays, parcels marked delivered but not received, damaged or wrong items, out-of-stock orders, cash-on-delivery confirmation, escalations and follow-ups, each with a note on when to send it.
  • Canned response examples. Short saved replies for chat, WhatsApp and Instagram DMs, each with what must be true before it's sent, plus how to name, review and measure a template library.
  • Customer service conversation examples. Twelve whole conversations on WhatsApp, live chat, Instagram and the phone, from first message to close, each with notes on what the agent does well. The quickest way to show a new agent what good sounds like.
  • Call center scripts. Phone scripts for greeting and verifying callers, order, delay, return, damaged-item and COD calls, holds, transfers, escalations and closing, for teams that take a lot of calls.
  • Customer service sentences and power words. Phrases that help and phrases that hurt, with a better line for each one to drop.
  • Refund email templates. Twenty-one return and refund emails in the order a return happens, from the request and the pickup to refunds by card, UPI or cash on delivery, partial refunds, exchanges and store credit, late or failed refunds, refusals and payment disputes.

Messages for particular moments

  • Thank-you messages. Ready-to-send thank you for your order messages for WhatsApp, email and the card in the box, plus thanks for a first purchase, a review, a customer's patience or a fixed complaint.
  • Apology statements for customer service. The statements to use and the ones to avoid, then apologies for a late order, a damaged or wrong item, a refund delay, a double charge or a rude reply from your team: sorry once, then the fix.
  • Customer complaint response email samples. Replies to formal complaints that name the specific problem, say what you've done and what happens next, including when the answer is no.

Angry and difficult customers

  • How to handle angry customers. Six steps from the first reply to closing the loop, what not to say, what to say about a late order, a missing refund, a damaged item or a third contact, and when to bring in a senior agent or team lead.
  • How to deal with difficult customers. Seven types, from customers who push for exceptions to serial returners, refund gamers and abusive customers: what agents may offer, how to say no, when to escalate and when to stop engaging.
  • How to handle customer complaints. Complaints as a process: logging them, giving them their own path and clock, and fixing the cause.

Measuring and improving

Guides to knowing whether your service is good, and finding what to fix first.

  • Customer service metrics. About ten metrics with exact definitions, split by request type and channel, and measured the same way for AI and human conversations. Read it before you build a dashboard.
  • What is CSAT. What the customer satisfaction score measures, how to calculate it, and what a good score depends on.
  • CSAT calculator. A free tool that works out your CSAT from your survey responses.
  • How to ask customers for feedback. When and how to ask on WhatsApp, email and the phone, with copy-ready requests for each moment after an order, so more customers answer and the answers are useful.
  • Customer feedback form template. A short form to copy, with the questions worth asking after a return, a refund or a complaint.
  • Customer satisfaction metrics. CSAT, customer effort score and NPS: which question each one answers, and when to use which.
  • Customer service quality assurance. How to set up quality review: what to check, how many conversations, who reviews, and how findings become changes.
  • Customer service QA scorecard. A scorecard template for reviewing conversations against your standards.

Running the team

  • Customer service operations. The decisions behind the front line: channels and hours, staffing, routing, tiers and escalation, complaints, sale peaks and a weekly review rhythm.
  • Customer support strategy. Setting direction for the year: which requests to prevent, which to automate, which need agents, and what service levels to promise.
  • Workforce management. Forecasting contacts and scheduling agents by the hour, so queues don't build overnight or during a sale.
  • Web self service. Order-tracking pages, FAQs and help centres that let customers answer their own questions, and how to keep them saying what your agents say.

The basics, for new starters

  • What is customer service. A plain definition of what customer service covers, for anyone new to the team.
  • Customer service vs customer support. Whether the two differ, and how customer experience relates to both.
  • CX meaning. What customer experience (CX) means, and where customer service sits inside it.
  • Customer experience management. How brands manage the whole experience, from first visit to after delivery, and the part support plays.

A reading order for new agents

The resources work best in the order a new agent needs them, and practised on your own conversations rather than read once.

  1. First week: what is customer service, the conversation examples, canned responses and power words. Then have the new agent rewrite five of last week's replies using your order facts and the four-part shape above: acknowledge, state the fact, give the next step with a time, and say what the customer can do.
  2. Second week: customer service email templates, return email templates, thank-you messages and, if they take calls, call center scripts.
  3. Before they take escalations: apology statements, complaint responses, and the guides to angry and difficult customers. Review their first escalated conversations together against the six standards.
  4. For team leads: customer service metrics, CSAT, quality assurance, customer service operations and workforce management.

How Flowcall fits

Flowcall combines an AI Agent with an AI Helpdesk, so the AI and your agents work from the same order data, rules and conversation history across WhatsApp, Instagram, Messenger, email and Live Chat, with calls from your telephony provider logged on the same tickets. The AI Agent answers from your knowledge base in your brand's voice and completes what your rules allow, and Flowcall's reports show CSAT for the AI Agent and human agents separately, so you can hold both to the same standard.

Book a demo to see a delayed order, a return and an upset customer handled end to end on WhatsApp and email, from the AI Agent's first reply to the agent's ticket. Brands with high support volume can then try Flowcall on one of their own service problems in a free proof of concept.

Frequently Asked Questions

What are customer service resources?

Customer service resources are the material a support team uses to give consistent, correct answers: reply templates and scripts, example conversations, a knowledge base of policies, training guides, and the metrics and quality reviews that show what to fix. For a consumer brand, start with templates for order, delivery, return and refund situations, which come up every day.

Are these customer service resources free?

Yes. Every template, script and guide on this page is free to read, copy and adapt, with no form to fill in, and the CSAT calculator is free to use. Adapt each template to your own policies and tone before your team uses it.

What are 10 ways to improve customer service?

  1. Reply with the order's facts, not a line that fits any order.
  2. Never ask for something the customer has already given you.
  3. Give a next step with a date in every reply.
  4. Make promised refunds and replacements happen, and share the reference.
  5. Tell customers about delays before they ask.
  6. Apologise once, specifically, then fix the problem.
  7. Route upset customers to an agent who can decide.
  8. Give every open issue an owner and a deadline.
  9. Review conversations every week and fix the rules behind repeated mistakes.
  10. Ask for feedback once the issue is resolved, not after the first reply.

What skills does a customer service agent need?

Clear, warm writing; knowledge of your products and policies; the ability to find order, delivery and payment details quickly and act on them; calm with upset customers; and judgement about when to hand a conversation over. Example conversations and templates let new agents practise the first three on real situations, which is why they come first in the reading order above.

Are there free customer service courses?

Yes. Several helpdesk vendors and online learning platforms offer free courses on service skills and on their own software. They teach general skills; a new agent also needs your policies, your systems and examples of good replies to your customers, which is what the resources on this page are for.

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Amrit Raj
Amrit Raj
Co-founder & CEO, Flowcall

Co-founder and CEO of Flowcall, and earlier a founder at Housing.com. Building AI customer support that resolves issues, not just replies to them.

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