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ROSES AI Prompt Framework
What is ROSES?
The ROSES framework is a popular prompt engineering technique that stands for:
Role: Define the AI’s role or persona.
Objective: Specify the goal or task you want the AI to accomplish.
Scenario: Describe the context or situation in which the task should be performed.
Expected Solution: Outline the desired outcome or solution.
Steps: Provide any specific guidelines or instructions to guide the AI’s response.
This framework helps you create more precise and effective prompts, leading to better AI-generated outputs.
By using the ROSE framework, you can:
- Improve clarity and specificity: Clearly define the task and desired outcome.
- Enhance creativity and originality: Encourage the AI to think outside the box by providing a creative scenario.
- Control the tone and style: Set the desired tone and style for the AI’s response.
- Ensure accuracy and relevance: Provide specific guidelines and instructions to guide the AI’s response.
By following these guidelines, you can maximize the potential of AI tools and generate high-quality outputs that meet your specific needs.
Example
You want to use AI to help you generate a marketing plan for your new software product. With ROSES framework, you provide AI those contexts and ask it to do the task:
Role: you are a market manager for an education software company
Objective: You need to create a plan to generate leads for the company's math tutoring education software product.
Scenario: Your Target Audience are K-12 educators and school administrators. Your product is a cutting-edge learning management system (LMS) that personalizes learning experiences and improves student outcomes for K-12 Math.
Expected Solution: A persuasive social media post that highlights the key benefits of the LMS and includes a strong call to action (e.g., "Book a demo," "Sign up for a free trial").
Steps:
1. Identify the key pain points of the target audience (e.g., time-consuming administrative tasks, difficulty tracking student progress, lack of personalized learning options).
2. Identify the channels to reach the target audience.
3. Create corresponding marketing materials to highlight the unique selling points of the LMS (e.g., automated grading, real-time student analytics, adaptive learning features).
With the above information, create a 3 months plan to use the materials in the channels to generate leads.
With this comprehensive information as prompt, your AI generates a comprehensive three-month marketing plan for you.
Three-Month Lead Generation Plan for Math LMS
Phase 1: Preparation & Awareness (Month 1)
Objective: Build awareness and capture initial interest from K-12 educators and administrators.
Key Pain Points to Address:
- Administrative burden (grading, tracking progress).
- Lack of time to create personalized learning experiences.
- Challenges in improving math outcomes for diverse student needs.
Unique Selling Points (USPs):
- Automated Grading: Saves teachers hours each week.
- Real-Time Analytics: Provides actionable insights into student performance.
- Adaptive Learning: Personalized math instruction tailored to each student.
Actions:
- Marketing Materials Creation:
- Videos: 30-second explainer video showing how the LMS transforms classrooms.
- Infographics: Highlight time saved, improved outcomes, and ease of use.
- Case Studies: Share testimonials from early adopters or pilot schools.
- Channel Selection & Content Deployment:
- Social Media (LinkedIn, Twitter/X, Facebook): Focus on LinkedIn and Facebook groups for educators, with targeted ads and posts.
- Email Campaigns: Send an introductory email series to a curated list of educators.
- Education Blogs: Partner with popular education blogs for guest posts or product spotlights.
- Sample Social Media Post:
“Revolutionize Math Education in Your School! 🚀
Struggling with time-consuming grading and tracking student progress? Discover [Product Name], the LMS designed to save teachers time and improve student outcomes.
✅ Automated grading
✅ Real-time analytics
✅ Adaptive learning for every student
💡 Start your free trial today! 👉 [Link] - Paid Ads: Run targeted Facebook and LinkedIn ads focusing on decision-makers in K-12 education.
Phase 2: Engagement & Conversion (Month 2)
Objective: Convert awareness into active interest by engaging leads and driving them to book demos or start trials.
Actions:
- Webinars & Live Demos:
- Host weekly 30-minute webinars highlighting how the LMS tackles educators’ pain points.
- Provide Q&A sessions to address specific school challenges.
- Social Proof Campaign:
- Share success stories, testimonials, and “A Day in the Life” content with teachers using the LMS.
- Targeted Outreach:
- Send follow-up emails to webinar attendees with a “Book a Demo” CTA.
- Offer a limited-time discount or incentive for schools signing up this month.
- Engagement Tactics:
- Run polls on LinkedIn asking about the top challenges in teaching math.
- Offer downloadable e-books or whitepapers on “Improving Math Outcomes with Technology.”
Phase 3: Scaling & Closing (Month 3)
Objective: Leverage insights to maximize lead generation and close sales.
Actions:
- Retargeting Campaigns:
- Use Facebook/LinkedIn retargeting ads for users who visited the website but didn’t convert.
- Emphasize testimonials and trial offers in retargeted ads.
- Exclusive Free Trial Campaign:
- Promote a “30-Day Free Trial” offer for educators to experience the LMS firsthand.
- Highlight features they’ll gain access to during the trial (automated grading, real-time analytics).
- Leverage Advocacy:
- Encourage trial users to share their positive experiences.
- Offer referral discounts for schools referred by current trial participants.
- Content Strategy:
- Publish a compelling blog post: “Top 5 Ways to Save 5 Hours a Week with Our Math LMS”.
- Post a wrap-up case study showcasing results from trial schools, featuring data like “Improved student outcomes by 20% in 3 months.”
Measurement & Optimization:
- Key Metrics to Track:
- Social Media Engagement (likes, shares, clicks).
- Webinar Attendance Rates.
- Demo Sign-Ups & Free Trials.
- Conversion Rates (trial to paid).
- Monthly Review:
- Assess what channels and materials perform best.
- Adjust ad targeting, messaging, and offers based on data insights.
By executing this plan, the company will effectively raise awareness, engage educators, and drive leads for its math LMS while addressing their primary challenges.