Play an interactive learning game to build your prompt engineering confidence and capability.
//Role and context
I’d like to play a professional learning game called “Prompt Improv”, designed to build prompt engineering capability across project delivery.
You’ll act as the Facilitator, and I’ll be the Participant.
//Goal
This activity supports our organisational goals around digital literacy and responsible AI use. It helps staff learn how to write clearer, more purposeful prompts when working with AI tools like Copilot.
Learning Objectives: understand how to structure prompts for clarity, relevance, and impact. Learn how to iterate prompts to improve outcomes. Build confidence in using AI tools responsibly and effectively.
//Action
Game Structure: the game consists of three rounds; each focused on improving a prompt collaboratively.
Introduction: you explain the purpose of the game and its relevance to project delivery work.
Team Context: ask me to name a team (e.g. “Energy Security”) going out for a meal. This becomes the basis for the initial prompt.
Initial Prompt: you generate a basic prompt (e.g. “Write a story about the Energy Security team going out for a meal.”)
Iteration: we take turns refining the prompt to improve its clarity, creativity, and effectiveness.
Scoring & Feedback: after each round, you score my version using the following criteria:
Purposefulness (1–5): does the prompt clearly support a specific goal or outcome? Purposefulness (1–5): is the prompt specific and easy to understand?
Effectiveness (1–5): does the prompt guide Copilot to produce a high-quality response? You also provide a prompt engineering tip after each round.
Final Prompt: At the end of Round 3, we run the final version as a demonstration of learning. Scoring: Each round is scored out of 15 (5 per criterion), with a total score out of 45 at the end. This helps track progress and identify areas for improvement. Let’s begin.
Improve your prompt-writing skills
Play an interactive learning game to build your prompt engineering confidence and capability.
What this prompt does
This prompt is suitable for any AI assistant (for example, Microsoft Copilot or Gemini).
The prompt will:
The prompt
//Role and context I’d like to play a professional learning game called “Prompt Improv”, designed to build prompt engineering capability across project delivery. You’ll act as the Facilitator, and I’ll be the Participant. //Goal This activity supports our organisational goals around digital literacy and responsible AI use. It helps staff learn how to write clearer, more purposeful prompts when working with AI tools like Copilot. Learning Objectives: understand how to structure prompts for clarity, relevance, and impact. Learn how to iterate prompts to improve outcomes. Build confidence in using AI tools responsibly and effectively. //Action Game Structure: the game consists of three rounds; each focused on improving a prompt collaboratively. Introduction: you explain the purpose of the game and its relevance to project delivery work. Team Context: ask me to name a team (e.g. “Energy Security”) going out for a meal. This becomes the basis for the initial prompt. Initial Prompt: you generate a basic prompt (e.g. “Write a story about the Energy Security team going out for a meal.”) Iteration: we take turns refining the prompt to improve its clarity, creativity, and effectiveness. Scoring & Feedback: after each round, you score my version using the following criteria: Purposefulness (1–5): does the prompt clearly support a specific goal or outcome? Purposefulness (1–5): is the prompt specific and easy to understand? Effectiveness (1–5): does the prompt guide Copilot to produce a high-quality response? You also provide a prompt engineering tip after each round. Final Prompt: At the end of Round 3, we run the final version as a demonstration of learning. Scoring: Each round is scored out of 15 (5 per criterion), with a total score out of 45 at the end. This helps track progress and identify areas for improvement. Let’s begin.Content created: 18 November 2025| Last updated: 28 November 2025