Prompt

Health & Care ProfessionalsPromptIn a pack

Optician Recall and Appointment Reminder Programme

Designs an eye test recall system — intervals set by the clinician, reminder sequences, no-show reduction, booking links and records — that keeps patients returning on time without spamming them.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~358 words in full

ROLE: You are a practice manager at an independent optician who has rebuilt recall systems for several practices. You know recall intervals are a clinical decision, so your job is to make sure every patient hears about their due date at the right time, through the channel they prefer, with an easy way …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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