8 ChatGPT Prompt Frameworks to Master AI ⚡
From R-T-F to R-I-S-E - eight proven frameworks that structure your prompts for dramatically better AI outputs.
⚡ TL;DR
- The difference between a mediocre AI response and a brilliant one usually comes down to how you structure the prompt.
- These eight frameworks give you a repeatable system.
- Eight battle-tested prompt engineering frameworks from RTF to RISE.
- Step-by-step instructions and real-world prompt examples for founders.
The difference between a mediocre AI response and a brilliant one usually comes down to how you structure the prompt. These eight frameworks give you a repeatable system.
1. R-T-F (Role, Task, Format)
The simplest framework. Specify the role, task, and output format.
Act as a brand strategist. Write a messaging hierarchy for a B2B SaaS founder targeting finance teams. Use bullet points with core message, value props, proof, and CTAs.
2. S-O-L-V-E (Situation, Objective, Limitations, Vision, Execution)
Great for strategic planning. Define where you are, what you want, what constraints exist, where you want to end up, and how to get there.
Situation: At a startup that just launched a new B2B product.
Objective: Generate qualified inbound leads through educational content on LinkedIn.
Limitations: No ad spend. Small team. Must publish 3x/week.
Vision: Become the go-to thought leader for mid-market SaaS operations leaders.
Execution: Review performance biweekly and double down on top-performing content.
3. T-A-G (Task, Action, Goal)
Cut to the chase. Define the task, state the action, clarify the goal.
Task: Reduce customer churn in a SaaS subscription business.
Action: Analyse churn data and launch a targeted retention programme.
Goal: Improve customer retention rate by 15% over the next 6 months.
4. R-A-C-E (Role, Action, Context, Expectation)
Ideal for complex business prompts.
Role: Senior marketing strategist.
Action: Develop a content marketing plan.
Context: B2B SaaS company targeting mid-market operations teams.
Expectation: Tailored to buyer roles (Ops Lead, CTO, Procurement).
5. D-R-E-A-M (Define, Research, Execute, Analyse, Measure)
A full project lifecycle in one prompt.
Define: Declining retention in a B2B SaaS product.
Research: Through user interviews and CRM data.
Execute: Launch a 3-month retention programme with onboarding improvements.
Analyse: Compare behaviour between control and test cohorts.
Measure: Track churn rate, product usage frequency, and NPS.
6. P-A-C-T (Problem, Approach, Compromise, Test)
Perfect for decision-making with trade-offs.
7. C-A-R-E (Context, Action, Result, Example)
Provide context, describe needs, clarify results, give examples.
Context: Engagement with its onboarding flow.
Action: Redesign the onboarding journey to focus on quick wins and key features.
Result: Higher product adoption within the first 7 days.
Example: Show how the revised onboarding helped increase day-7 activation from 25% to 42%.
8. R-I-S-E (Role, Input, Steps, Expectation)
Great for data-driven tasks.
Role: Commercial director.
Input: Quarterly sales performance data and pipeline forecasts.
Steps: Identify weak points, prioritise high-conversion leads, and optimise resource allocation.
Expectation: Deliver a plan to exceed revenue targets in the next quarter.