Course overview
Lesson 8 of 8 · 3 promptsAI for Customer Experience Managers
LESSON 08 OF 8

Coordinate Teams and Scale CX

3 prompts for Customer Experience Managers

Prompts for Customer Experience Managers: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Prepare Cross-Team Workshop AgendaUse this when you need a focused session to solve a journey pain point.
  2. 02Draft Frontline Coaching GuideUse this when you want to help agents handle common customer moments better.
  3. 03Build a Reusable CX Prompt LibraryUse this when you want repeatable AI prompts for journey, feedback and CX planning work across your team.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Prepare Cross-Team Workshop Agenda

Use this when you need a focused session to solve a journey pain point.

Prompt

Role: You are a customer experience facilitator who designs short, action-oriented cross-team workshops that turn one journey pain point into agreed next steps.

Context you provide

  • {{pain_point}}: the journey pain point to solve
  • {{affected_teams}}: teams and roles to invite
  • {{customer_evidence}}: feedback, tickets, or journey data
  • {{workshop_length}}: time available
  • {{desired_outcome}}: decision or plan needed
  • {{constraints}}: budget, systems, or policy limits

Instructions

  1. Ask for any missing inputs, then design the agenda.
  2. Open with a shared view of the pain point using only {{customer_evidence}}.
  3. Map the journey steps where the pain occurs and who owns each step.
  4. Run a root-cause discussion that separates symptoms from causes.
  5. Generate options with owners and effort, then prioritise one or two.
  6. Close with actions, owners, dates, and a follow-up check.
  7. Keep each block timed and note the facilitator and materials.

Output format: A timed agenda table with columns for block, minutes, purpose, lead, and output. Add a short pre-read list and a one-page action log template. Tone: practical and neutral. Leave out generic icebreakers and long theory.

Guardrails

  • Do not invent customer quotes, metrics, or system names; use only the inputs given.
  • Flag any assumption about team ownership or policy.
  • Tell the user to check local privacy rules before sharing customer data.

Example: Pain point: repeat calls about delayed refunds; teams: support, billing, logistics; evidence: 20 call notes; length: 90 minutes; outcome: one fix owner.

Open as its own page

02

Draft Frontline Coaching Guide

Use this when you want to help agents handle common customer moments better.

Prompt

Role You are a customer experience coach who turns real customer moments into short, practical coaching guides frontline agents can use on their next shift. Optimise for behaviour change, not theory.

Context you provide

  • {{customer_moment}} — the scenario to coach, such as a billing dispute
  • {{agent_role}} — who is being coached
  • {{channel}} — phone, chat, email or in person
  • {{observed_pain_points}} — what goes wrong today
  • {{desired_behaviour}} — what good looks like
  • {{existing_policy_or_script}} — rules agents must follow
  • {{coaching_time}} — minutes available per session
  • {{success_measures}} — how you will know it worked
  • {{tone_of_voice}} — brand voice

Instructions

  1. Ask for any missing inputs, then confirm the customer moment and agent role in one line.
  2. Break the moment into 3 to 5 steps an agent actually takes, in order.
  3. For each step give one thing to say or do, one thing to avoid, and one question the coach can ask afterwards.
  4. Add two short practice scenarios drawn from the pain points, each with a model response.
  5. Add a short huddle plan: what to observe, what to praise, what to correct.
  6. Add a simple self-check agents can run after the interaction.
  7. Flag any step that depends on policy the user has not supplied.

Output format Markdown with a heading per step and bullet lists. Use a table for say, avoid and coach question if it reads more clearly. Maximum 800 words. Plain language, no jargon, no script longer than two sentences. Leave out theory, named frameworks and generic advice.

Guardrails Do not invent policy, refund limits, legal wording or system names; mark anything you assume. If the moment touches billing, contracts, safety or regulated advice, tell the user to check the current policy or a qualified colleague before coaching. Keep the language respectful of agents and never blame individuals.

Example customer_moment: customer disputes a duplicate charge on chat; agent_role: tier 1 chat agent; channel: live chat; observed_pain_points: agents escalate too early and repeat the same apology; desired_behaviour: acknowledge, verify, set expectation; existing_policy_or_script: refund policy v3; coaching_time: 10 minutes; success_measures: first contact resolution; tone_of_voice: warm and direct.

Open as its own page

03

Build a Reusable CX Prompt Library

Use this when you want repeatable AI prompts for journey, feedback and CX planning work across your team.

Prompt

Role — You are a customer experience operations specialist who turns recurring CX work into reusable AI prompts any team member can copy and fill in.

Context you provide

  • {{business_context}} — company, service, main customer types
  • {{cx_priorities}} — the outcomes that matter this quarter
  • {{recurring_tasks}} — CX jobs you repeat weekly or monthly
  • {{existing_prompts}} — prompts you already use, pasted as-is
  • {{tools_and_data}} — survey, CRM and ticket tools you pull from
  • {{audience}} — who runs these prompts and their AI comfort level
  • {{constraints}} — tone rules, privacy limits, approval steps

Instructions

  1. Ask for any missing inputs, then wait for my answers before writing.
  2. Sort my recurring tasks into three workstreams: journey, feedback, planning.
  3. Draft one prompt per task using: role, placeholders, numbered steps, output format, guardrails.
  4. Keep each prompt to one job with a defined output shape, such as a table or ranked list.
  5. Add a one line "use when" note above each prompt.
  6. Flag any prompt that needs extra data access, privacy sign-off or legal review.
  7. Close with a naming convention and an index table of task, prompt name and owner.

Output format — Markdown grouped by workstream, each prompt in its own fenced block ready to copy. Under 250 words per prompt. No filler intros or summaries.

Guardrails — Do not invent metrics, benchmarks or survey results; leave placeholders instead. Flag any prompt that touches personal customer data so it goes through your privacy process. Tell me when a method needs a licensed practitioner or a check against local regulations.

Example — {{business_context}}: regional insurer; {{recurring_tasks}}: monthly NPS verbatim triage, quarterly journey map refresh; {{audience}}: two new CX coordinators.

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Skills for these tasks

Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.