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HaiPhai.AI Fluency for Biotech

Anatomy of a High-Performance Claude Prompt

Lesson 1~18 min2-question check

Module 11 · Lesson 01

Anatomy of a High-Performance Claude Prompt

Reading time: 18 minutes Track: Claude Fluency for Teams · Required for all learners


Why prompt quality has such large effects

The difference between a weak prompt and a strong one isn't marginal — it often determines whether the output is usable at all. That's because Claude is highly sensitive to the framing of a request. Given a vague prompt, it makes inferences about what you want. Those inferences are often wrong.

A strong prompt removes the guesswork. It tells Claude exactly what context it has, what task it's performing, for whom, to what standard, in what format. Claude doesn't have to guess, so it doesn't.

The five components of a strong prompt

1. Context — what Claude needs to know

Background information Claude doesn't have but needs. Your role, the situation, the audience, relevant constraints. Don't assume Claude knows your situation — tell it.

Weak: "Write a project update." Better: "I'm a product manager at a 30-person startup. Our board meeting is tomorrow. Write a project update on our Q2 roadmap progress."

2. Task — what exactly you want

Be specific about the action. "Help me with this email" is vague. "Rewrite this email to be more direct, remove the hedging language, and reduce it from 200 words to 100" is specific.

3. Format — what the output should look like

If format matters, specify it. Bullet list, numbered steps, table, JSON, markdown, plain prose, specific length. Without this, Claude will pick a format that may not fit your use case.

4. Constraints — what to avoid or include

What Claude should not do. Topics to exclude, tones to avoid, formats that won't work, assumptions to not make. Constraints are as important as requirements.

5. Examples — what good looks like (optional but powerful)

For tasks where quality standards matter, a brief example of the output format and quality level you want is more effective than lengthy description. "Like this: [example]" outperforms three paragraphs of description.

Putting it together

Weak prompt:

Write an email about our new feature

Strong prompt:

Context: I'm a product manager. Our product is a project management tool for construction companies.
We're announcing a new feature: automated daily progress reports generated from time-tracking data.
Audience: ~200 existing customers, mix of project managers and company owners.

Task: Write a launch announcement email.

Format:
- Subject line + body
- Under 150 words
- One clear call-to-action at the end

Constraints:
- Tone: professional but warm, not corporate-speak
- Don't oversell — our customers are skeptical of hype
- Include one concrete benefit statement with a specific number if possible

The second prompt takes 30 seconds more to write. The output quality difference is enormous.

The length question

Longer prompts are better — up to a point. More context is usually more useful. But there are two failure modes:

Too short: Claude guesses at your intent and guesses wrong. Too long, unfocused: Claude tries to satisfy too many constraints simultaneously and satisfies none well.

The sweet spot: include every piece of context that would genuinely change the output, and exclude everything that wouldn't.

Starting with a draft and refining

For many tasks, the most efficient approach is:

  1. Write a reasonable prompt
  2. Review the output
  3. Identify specifically what's wrong
  4. Add that specification to your prompt and retry

"Make it shorter" is less effective than "Cut 30% of the length by removing the second and third examples." Specific feedback → specific improvement.

Knowledge check

2 questions · select an answer to see if you got it
1.A team member's prompts frequently get outputs in the wrong format (e.g., prose when they wanted bullet points). What's the most likely fix?
2.Which of the following prompts demonstrates best practice for getting useful output?
Prompt Exercise

You need Claude to review a pull request description and suggest whether it's clear enough for a reviewer who didn't write the code. Write the prompt.

Hints
  • Give Claude the PR description to review
  • Tell it who the audience is (reviewer unfamiliar with the change)
  • Specify what 'good' looks like and what format you want feedback in
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