By following our advice below, you can unlock the potential of AI’s capabilities and gain valuable insights that can help your business grow.

What is a prompt?

A prompt is the natural language input to a generative AI model where the user tells the model what to do. Basically, prompts are the instructions you give to AI. In the case of image generation AI models, the prompt is typically the description of the image you want to generate.

Prompting in Strategy AI

With Strategy’s latest artificial intelligence capabilities, you access to the precision and trust of business intelligence paired with the intelligence and speed of AI.

By utilizing prompt engineering techniques, you can fully leverage Strategy’s AI capabilities and maximize its potential. Below are some best practices to help you get the answers you need:

Clear and concise words

Avoid vague terms or generalizations that could lead to ambiguous interpretations. Try to ask for specific insights or comparisons.

Vague: “Tell me about sales trends.”

Specific: “What were the total sales for Product X in the last quarter?”

Details

Provide relevant context to help the AI better understand your intent.

Unclear: “Show me the customer data.”

Clear: “Can you provide the customer retention rate for the past six months?”

Shorter, simpler questions

If you have a complex question, consider breaking it down into smaller, more digestible parts. This approach helps AI process and respond to each component effectively.

Complex: “What is the average revenue per customer for each region?”

Simplified: “What is the average revenue per customer for Region A, broken down by product category?”

Natural language

One of the advantages of interacting with Strategy’s AI capabilities is the ability to use natural language. Phrase your questions as if you were asking a knowledgeable person for insights. This approach helps AI understand the intent behind your query and provide accurate answers.

Robotic: “Sales report Q3.”

Natural language: “Can you show me the sales report for the third quarter?”

Natural language allows for more nuanced communication. If a question requires additional context, you can provide that context in a conversational way. This additional information can help AI generate more accurate and relevant insights.

Basic: “What were the sales figures for Product X?”

Contextual: “What were the sales figures for Product X in the last quarter? I’m particularly interested in the European market.”

Summary

Iterating and refining your questions is an essential practice for optimizing your interactions. If you get answers that don’t quite match your expectations, don’t hesitate to adjust and rephrase your questions.

Experiment with different phrasing or provide additional context to help the bot better understand your intent. Prompt development is an ongoing process. Stay open to learning and adjusting your approach as you gain more experience with AI.

(source: https://www.strategysoftware.com/blog/power-of-prompting-maximize-microstrategy-ai-capabilities)