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How to Prompt ChatGPT Correctly

How to Prompt ChatGPT Effectively: Templates & Techniques for Good Prompts

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If ChatGPT provides random or superficial answers, it’s rarely the AI’s fault—it’s almost always due to the prompt. A good prompt isn’t a magic formula, but a clear instruction—and that’s exactly what you can learn. This post shows you how to recognize a good ChatGPT prompt, which techniques reliably yield better results, and provides you with ready-made templates to copy for the most common tasks in your daily work. By the end, you won’t have a memorized formula, but rather a method you can apply to any task.

What makes a good ChatGPT prompt?

The most common reason for weak responses is simple: the prompt doesn’t give the AI enough to work with. ChatGPT has no knowledge of your job, your target audience, or your goal unless you provide that information. A good prompt answers four questions for the AI before it gets started: What role should it play, what exactly is the task, what context does it need, and in what format do you want the result? If any of these building blocks is missing, the AI will have to guess—and guessing leads to random answers.

  • Role: „You’re an experienced HR professional.“ That sets the tone, level of expertise, and perspective.
  • Task: What exactly should you produce? A text, a list, an analysis? A verb can help: write, summarize, compare, check.
  • Context: Your goal, your target audience, relevant facts. The AI won't know your case unless you provide the details.
  • Format: „In five bullet points,“ „as a formal email,“ „in simple language,“ „as a two-column table.“.

The often-overlooked fifth step is refining. The first answer is rarely the best. Brief follow-up prompts like „shorter,“ „more specific,“ or „give me three alternatives“ turn a usable draft into a result you can trust. Prompting is a conversation, not a single command.

An example: from a weak prompt to a strong one

The difference is most evident when illustrated with an example. Suppose you want to write a rejection letter to a female applicant.

A weak prompt is: „Write a rejection letter.“ The result is a generic template that sounds like a form letter, doesn’t mention the recipient’s name, and misses the mark in terms of tone.

A strong prompt gives the AI everything it needs:

You are an experienced recruiter. Write a friendly, respectful rejection letter to a candidate who applied for the project manager position. She performed well in the interview, but her professional qualifications weren’t quite a good fit. Keep the email under 120 words, offer to save her profile for future consideration, and avoid clichés.

The same AI, the same model, a completely different result. The difference isn't better wording, but greater clarity: the role, task, context, and format are all included in the second prompt. You can apply this exact pattern to almost any task.

The Most Important Techniques for Better Prompts

Beyond these four building blocks, there are a few techniques that make the biggest difference in practice. They aren't based on insider tips, but rather align with the official recommendations from providers, such as the Best Practices for Prompt Engineering from Anthropic and the freely available Prompting Guide by DAIR.AI.

  • Provide examples (few-shot). Show the AI two or three examples of the desired result. Nothing explains a format faster than a sample. If you want your subject lines to follow a certain style, provide two examples instead of describing the style.
  • Let them think step by step. For tricky tasks, adding „Think step by step“ can help. The AI then visibly works through the logic and makes fewer careless mistakes. This is especially helpful with calculations, comparisons, and decision-making.
  • Please feel free to ask questions. An underrated phrase: „Ask me first if you’re missing any information.“ This way, the AI doesn’t just make things up; it gathers what it needs before writing.
  • Tell her what to avoid. Negative instructions are powerful. „No marketing clichés,“ „no bullet points,“ „no longer than one page“—these often define the end result better than any positive description.
  • Specify the format. Let me know if you want a table, a list, or continuous text, and how long it should be. A clearly defined format will save you half the rework.
  • Iterative refocusing. Think of the first output as a draft, not a final result. Two or three targeted corrections will almost always get you further than a single perfect prompt.

Templates for Copying

You can use these templates as is and replace the placeholders in square brackets.

Compose an email:

You are [role]. Write a [formal/friendly] email to [recipient] with the goal of [goal]. Key points: [Point 1], [Point 2]. Keep it under [number] words and maintain a [factual/courteous] tone.

Summarize the text:

Summarize the following text in [number] bullet points in a way that is understandable to [target audience]. Highlight the three most important points. Text: [insert].

Rephrase:

Rewrite the following text to make it [simpler/more formal/shorter] without changing the main point: [insert].

Developing ideas:

You are [role]. Give me ten ideas for [topic], ranked from the most obvious to the most unusual, with a one-sentence explanation for each.

Understanding Data:

Here is some data from [source]. Tell me the three most striking patterns and explain in simple terms what they might mean. Data: [insert].

Converting Meeting Notes into Tasks:

Here are my notes from a meeting. Use them to create a list of specific to-dos, including the person responsible and the deadline, if specified. List open items separately. Notes: [insert].

Check the text for clarity:

Check the following text to see if it is understandable to [target audience]. Point out three places where the text is unclear, and suggest a better way to phrase each one. Text: [insert].

Create a study plan:

Create a realistic study plan for me on [topic] over [time period], with [hours] per week. Break it down into weeks, with one goal and a short exercise for each week.

A safety tip: Do not enter any sensitive company or personal data into an AI tool without first checking with your IT department.

Here's How to Tell If a Prompt Was Good

A good prompt is judged by the result, not by the effort involved. Three questions can help you quickly assess the answer. First: Does the result truly address the task, or does it sidestep it? Second: Are the facts and figures accurate, or does it just sound plausible? Third: Is the tone appropriate for the target audience? If the answer to any of these questions is “no,” it’s almost always due to a missing element in the prompt, not the AI. Add the missing part and resubmit the prompt. It’s precisely this quick check that separates people who use AI productively from those who get frustrated by poor answers.

ChatGPT in Everyday Life: Three Practical Extras

In addition to the individual prompt, it’s worth knowing about three features that many people overlook. First, your own specifications, often called „Custom Instructions“: There, you set up once who you are and how you’d like to respond, so that the AI takes this into account in every conversation. Second, the conversation history: In an ongoing chat, the AI remembers the context from earlier, so you don’t have to repeat everything. For a new topic, it’s better to start a fresh chat so that old instructions don’t carry over. Third, the ability to save recurring tasks as fixed templates so you don’t have to rewrite the same effective prompt every time.

Common Mistakes When Prompting

Three patterns consistently lead to poor results. First, overly vague prompts that lack a role, context, and format. Second, a lack of context because one assumes the AI understands one’s own situation. And third, blind trust: The AI can also provide confidently worded but incorrect answers, which is why verifying the result is always essential. A fourth, more subtle mistake is giving up too soon. Anyone who stops after the first mediocre answer is throwing away their greatest leverage: refining the prompt. Those who avoid these mistakes are already ahead of most users.

From Good Prompts to True AI Proficiency

Good prompting is the starting point, not the goal. If you want to use AI confidently in your career, you need to build on that foundation to develop a broader set of skills—from systematic prompt engineering to the responsible handling of data. Read the article to learn how to develop these skills in a structured way. Learn Prompt Engineering: The 2026 Guide. An overview of the appropriate tools is provided by The Best AI Tools for Everyday Work, and if you're just starting out, you'll find AI for Beginners Getting started. This skill is in demand: According to the Bitkom Study on AI in Germany Meanwhile, 41 percent of companies are actively using AI—more than twice as many as last year.

Frequently asked questions

How do I write a good ChatGPT prompt? Provide the AI with four pieces of information: role, task, context, and format. In other words, who it should be, what exactly it should produce, what background information it needs, and in what format you want the result. Then refine the initial response with brief instructions such as „shorter“ or „more specific.“.

What is the most common mistake people make when prompting? Prompts that are too vague and lack context. The AI doesn't know your situation unless you provide it, so it just makes guesses. The second most common mistake is accepting the result without checking it, even though AI can formulate incorrect answers in a convincing way.

How many examples should I include in a prompt? For most tasks, two or three good examples are enough. They show the AI the desired format more quickly than any description. More examples are helpful for very specific styles, but they also make the prompt longer and more confusing.

Do I need to know how to code to be a good prompt writer? No. Good prompting is language, not code. It helps you formulate your prompts clearly and critically evaluate the results. That’s exactly what anyone can learn, regardless of their technical background.

Using AI Effectively in the Workplace

Good prompts are the first step. Those who learn to use AI in a structured and judicious way will become more valuable in their careers. That is exactly what a AI further training, and for job seekers, it is 100 percent eligible for funding through the education voucher.

If you want to know which path is right for you, just schedule your free consultation. No sales pressure at all.

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