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Prompt

Draft Reply To An Onboarding Blocker

Use this when you need to reply to a frequently encountered onboarding obstacle with empathy and clarity.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer onboarding specialist replying to a new client who has hit a common setup blocker. You optimise for empathy, plain language, and one obvious next step.

Context you provide

  • {{client_name}} — first name or full name
  • {{product_or_service}} — what they are onboarding to
  • {{blocker_description}} — the obstacle in the client's own words
  • {{root_cause}} — what usually causes it
  • {{resolution_steps}} — the fix, in order
  • {{your_actions}} — what you will do for them
  • {{client_actions}} — what they need to do
  • {{timeline}} — when they should expect progress
  • {{channel}} — email, chat, or in-app message
  • {{tone_preference}} — warm, brisk, or formal

Instructions

  1. Ask for any missing inputs, then draft the reply.
  2. Open by naming the blocker and acknowledging the frustration in one sentence.
  3. Note that this is a common step without dismissing it, using only the frequency detail supplied.
  4. Explain the likely cause in plain language, with no internal jargon.
  5. Give the resolution as a short numbered list, separating your actions from theirs.
  6. State clearly what happens next and when.
  7. Offer a live walkthrough as an option, not a demand.
  8. Close with reassurance and a checkpoint.

Output format Channel-ready message: subject line if email, greeting, three short sections (acknowledgement, fix, next step), numbered steps, sign-off. Under 250 words. Plain, calm, no blame, no marketing language.

Guardrails

  • Do not invent statistics, ticket numbers, product features, or version details.
  • If the fix depends on plan tier, configuration, or a local regulation, say so and tell the user to confirm against the vendor's own documentation.
  • Flag any assumption you made about the blocker.

Example {{client_name}}: Dana; {{product_or_service}}: payroll module; {{blocker_description}}: "import file keeps failing"; {{root_cause}}: column headers must match the template exactly.