Why I'm using the ROSES prompt framework
- Chris McLellan
- 6 days ago
- 2 min read
Updated: 1 day ago
A simple, memorable prompt framework is a critical component of responsible and scalable AI marketing

Why Prompt Frameworks Matter
Prompt frameworks are having a moment. As AI adoption spreads across marketing teams, there’s growing interest in ways to structure prompts to get more consistent, brand-safe results. The goal is clear: reduce trial and error, save time, and make outputs more predictable.
You’ll often see names like PEEL, OCAR, RAC, and FAB tossed around in AI marketing circles.
Each has its niche, whether it’s for generating ad copy, formulating plans, or writing product descriptions. But not every framework is built for versatility.
Why I Use ROSES
I currently use the ROSES prompt framework because it’s simple, clear, and covers most of the bases. It’s easy to remember and works across use case, from content generation to strategy and campaign planning.
Some of the AI marketing practitioners I trust most use it, too.
What Many Folks Misunderstand About Prompts
Most business users still underestimate how critical prompt frameworks are.
Without them, outputs become wildly inconsistent, off-brand, or even non-compliant. That leads to wasted time, excess iteration, and frustrated teams.
Frameworks like ROSES aren’t just helpful, they’re essential for scaling AI content safely and effectively.
In fact, research suggests that 68% of businesses now provide prompt-engineering training to their staff, both technical and non-technical. And organizations that use structured prompt-engineering processes report 34% higher satisfaction with their AI deployments.
Most well-constructed prompts aren't written from scratch each time. They're stored and reused, often baked into purpose-built bots like Custom GPTs, or saved in prompt libraries that support ongoing tasks.
That’s where frameworks like ROSES shine: they make prompts modular, scalable, and easy to update without starting over.
Breaking Down the ROSES approach
At its core, ROSES is a flexible structure that helps you think clearly and write better prompts, faster.
What ROSES stands for:
Role - Who is speaking or acting?
Objective - What is the goal?
Steps - What steps should be taken?
Evidence - What facts or sources support the case?
Style - How should it sound?
That simple layout provides a cognitive scaffold for your prompt writing. It forces clarity, reduces ambiguity, and improves reproducibility, especially important when multiple team members are involved or when you're running dozens of variations.
Where to Use It
Use ROSES anytime you're drafting prompts for repeatable use: content calendars, email nurture series, paid search ads, or customer support bots. It's especially powerful in marketing operations, where scale and consistency are non-negotiable.
Even for one-off asks, it nudges you to think strategically.
Happy prompting
Hope this shed some light on my process and informs your next AI marketing project.
Until next time.
I’m Chris McLellan I’m a Certified Chartered Marketer and the founder of Friends Electric, a personal marketing consultancy that blends data, AI, and strategy to accelerate growth.
I help startups, scale-ups, and established brands across Canada, the UK, and the US with AI-enabled marketing, product launches, and integrated campaigns.
Comments