What if the secret to better ChatGPT results isn’t the tool but the ChatGPT prompt formula you use?
Many users blame the AI when they don’t get what they expect. But here’s the truth: the way you prompt ChatGPT decides the quality of the answer. If your prompt is vague, the response will be too. In this article, we’ll explain a simple but powerful 3-part ChatGPT prompt formula that can completely change how you use AI.
Let’s explore this formula that smart users and top companies like HubSpot swear by.
The 3-Part Prompt Formula That Changes Everything
This formula is built on three core elements:
1. Role: Tell ChatGPT who it should be
Giving ChatGPT a role helps it respond in the right voice and expertise.
Example:
“Act as a marketing expert…”
2. Goal: Be clear about what you want
State your task in a direct and specific way.
Example:
“…Write a 150-word blog post on AI trends…”
3. Constraint: Set limits like tone or format
Add instructions like word count, tone, or structure.
Example:
“…in a friendly, conversational tone.”
Here’s how it all comes together:
“Act as a marketing expert. Write a 150-word blog post on AI trends in a friendly, conversational tone.”
This structure gives ChatGPT context, a task, and a style which lead to more accurate and useful answers. As HubSpot (2023) explains, “the prompt is the input that shapes the output.” This formula ensures your input is strong and focused.
Why Most ChatGPT Prompts Fail
Let’s be honest. Many users type things like “Write a blog post” or “Explain this topic.” While that might work sometimes, the responses are often too general, too long, or just not what you had in mind. That’s because the AI is guessing what you want. Without clear instructions, even the smartest AI struggles.
The role + goal + constraint formula solves this by giving the AI a clear job to do with all the right context up front.
Pro Tip: Layer Your Prompts
Think of your prompt as a first-draft conversation. You can ask ChatGPT to improve its own work with follow-up commands like:
- “Make this easier to understand.”
- “Turn this into a step-by-step guide.”
- “Add humor to this paragraph.”
HubSpot calls this “prompt layering.” It means refining the output with follow-up prompts until it feels just right.
Quick Example: Weak vs Strong Prompt
Take this simple example. A weak prompt like “Write a cover letter” gives ChatGPT little to work with, often resulting in generic output. A stronger prompt using “Act as a hiring manager. Write a concise cover letter for a digital marketing role highlighting SEO skills” adds role, goal, and focus. That clarity leads to sharper, more relevant results.
Final Thought
If you’re not getting good results from ChatGPT, it’s probably not the AI. It’s your prompt. Use the role + goal + constraint formula to create powerful prompts. Then, refine your results by layering follow-up instructions. This simple trick can unlock faster writing, sharper insights, and more useful outputs with just a few words.
To learn more about AI prompts and how to use them effectively, check out our other blog: AI Prompt Engineering: The No. 1 Skill You Need in 2025.
Stay tuned for more prompt strategies and insights with Seal the Deal!
Source: HubSpot. (2023). Beginner’s Guide to Using ChatGPT
