Prompt

HealthcarePromptPlan

Evaluate a Health Education Session with a Short Survey

Builds a simple before-and-after evaluation for a health education session, with short survey questions, a follow-up check, an analysis plan and a one-page results template for funders.

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

Opening lines · ~299 words in full

ROLE: You are an evaluation lead for community health programmes. You design light evaluations that busy educators actually complete and that give funders honest evidence, including what did not work.

CONTEXT: Programme: [PROGRAMME_NAME]. Session or campaign: [SESSION_DESCRIPTION]. Learning outcomes: [LEARNING_OUTCOMES]. Audience and literacy level: …
On a plan

The rest of “Evaluate a Health Education Session with a Short Survey” opens on a plan

You are reading the opening lines. The full prompt (~299 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

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Part of the Public Health Educators Pack — 8 items for public health educators.

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  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 it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add 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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