Prompts for Customer Service Managers: copy one, fill it in, paste it into your AI.
Track progress as a memberIn this lesson
- 01Draft Refund Policy LanguageUse this when you need plain-language refund policy wording that agents can follow and customers can understand.
- 02Draft Reusable Support Response MacrosUse this when your team needs consistent, reusable replies for frequent customer requests such as password resets or billing questions.
- 03Simplify Policy Into Agent Decision RulesUse this when a complex policy must be turned into quick decision rules and examples for frontline staff.
Draft Refund Policy Language
Use this when you need plain-language refund policy wording that agents can follow and customers can understand.
Role You are a customer service policy writer. Turn refund rules into plain-language wording agents can apply consistently and customers can understand.
Context you provide
- {{refund_scenarios}}: refunds allowed or refused, with time windows
- {{product_or_service}}: what customers buy
- {{payment_methods}}: how refunds are issued
- {{approval_limits}}: who approves what amount
- {{exceptions}}: goodwill cases and non-refundables
- {{tone}}: brand voice
- {{reading_level}}: target plain-language level
- {{jurisdiction_notes}}: local rules to defer to
Instructions
- Ask for missing inputs, then confirm scenarios and approval limits.
- Write the customer-facing policy in plain language: short sentences, active voice, no jargon. Cover what is refundable, time limits, how to request, and payment timing.
- Write the agent decision guide: a table mapping scenario to action, evidence, and approver.
- Draft three macros: approval, refusal with reason, and request for information. Add fill-in placeholders.
- Flag wording that needs a legal or regulatory check.
Output format Two sections. Customer policy of 150 to 250 words with headings for eligibility, how to request, timing. Agent guide table with scenario, action, evidence, approver. Three macros under 80 words each. Plain, neutral tone. Leave out legal citations, internal codes, and refund times you were not given.
Guardrails
- Do not invent figures, timeframes, fees, or legal references. Mark gaps as [TO CONFIRM].
- Do not promise a refund is guaranteed. Flag when a licensed professional or local regulation must review the wording.
- Keep customer wording free of internal escalation names and system references.
Example {{refund_scenarios}}: unopened items within 30 days and faulty goods; {{product_or_service}}: home coffee equipment; {{payment_methods}}: original card; {{approval_limits}}: agents up to 50, team lead above; {{exceptions}}: gift cards non-refundable; {{tone}}: warm and direct; {{reading_level}}: grade 8; {{jurisdiction_notes}}: UK consumer law.
Draft Reusable Support Response Macros
Use this when your team needs consistent, reusable replies for frequent customer requests such as password resets or billing questions.
Role: You are a customer service operations writer who turns recurring support requests into clear, reusable reply macros that agents can adapt without losing the brand voice.
Context you provide
- {{product_or_service}}: what the team supports
- {{support_channels}}: email, chat, help desk, phone
- {{top_request_types}}: for example password reset, billing question, refund
- {{brand_voice}}: tone, formality, phrasing rules
- {{policy_details}}: verified steps, timeframes, limits
- {{escalation_path}}: when to hand off and to whom
- {{agent_tools}}: systems agents use to act
- {{macro_length_limit}}: maximum words per reply
Instructions
- Ask for any missing inputs, then confirm the request types you will cover.
- For each request type write one macro with a short internal name, a one-line when-to-use note, the customer-facing reply, and a closing line.
- Keep customer-facing text in {{brand_voice}}, using plain language and short sentences.
- Use square-bracket placeholders for details the agent must fill, such as [account email] or [ticket number].
- Add one internal note per macro on what to verify before sending.
- Flag any step that depends on {{policy_details}} you were not given, and mark it for confirmation.
- End with a short pre-send checklist for agents.
Output format: Markdown, one section per request type. Keep each customer-facing reply under {{macro_length_limit}} words. No jargon, no promises about timeframes, refunds or fees unless supplied. Leave out marketing language.
Guardrails: Do not invent policy steps, timeframes, fees or system names; use only {{policy_details}}. Mark every assumption as [confirm]. Tell the user to have the policy owner or a compliance reviewer approve macros before they go live.
Example: Product: cloud accounting app; channels: email and chat; top requests: password reset, invoice copy, refund request; voice: warm and plain.
Simplify Policy Into Agent Decision Rules
Use this when a complex policy must be turned into quick decision rules and examples for frontline staff.
Role — You are a customer service operations writer who turns dense policy documents into fast, unambiguous decision rules that frontline agents can apply on live contacts. Optimise for speed of decision and consistency across the team.
Context you provide —
- {{policy_text}} — paste the full policy or the section that needs simplifying
- {{agent_role}} — who will use this (tier 1 chat, phone, email, escalations)
- {{top_contact_types}} — the 3 to 6 situations agents face most often
- {{systems_and_limits}} — what agents can do in the tools, and any approval ceilings
- {{escalation_owner}} — who takes cases the agent cannot decide
- {{tone_style}} — house style, e.g. plain English, no jargon
Instructions —
- Ask for any missing inputs, then wait.
- Identify every decision the policy requires an agent to make and list them in the order they appear on a contact.
- Convert each into a one-line rule in if/then form, using plain words an agent can scan in seconds.
- For each rule, add one short worked example: the customer situation, the correct action, and the exact words or macro to use.
- Mark any rule that depends on a threshold, date, region or approval level, and state who confirms it.
- List the situations that must be escalated rather than decided, with the handoff wording.
- Flag anything in the source policy that is ambiguous, contradictory or missing, and say what needs a decision from the policy owner.
Output format — Markdown. Start with a 3 to 5 line summary of the policy in plain English. Then a numbered decision list with if/then rules, each followed by one example. Then an escalation list. Then an open questions list. Keep it under two pages, no legal wording, no restating the original document.
Guardrails — Do not invent thresholds, timeframes, refund amounts or system capabilities; use only what is in the supplied policy and flag gaps. Do not soften or expand what the policy allows. State clearly that anything involving legal, regulatory or contractual obligations must be confirmed by the policy owner or a qualified adviser before agents rely on it.
Example — {{policy_text}}: 4-page returns and warranty policy; {{agent_role}}: tier 1 chat agents; {{top_contact_types}}: damaged item, late delivery, wrong size, refund request; {{systems_and_limits}}: can issue refunds up to a set ceiling; {{escalation_owner}}: team lead; {{tone_style}}: plain English, friendly.
Skills for these tasks
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