Best Practices

The quality of your AI output starts with the quality of your prompt. To help you get the most out of it, we recommend the CRISP method — a simple framework to make your prompts clear, actionable, and effective.

What does CRISP stand for?

C – Context: What is the situation or purpose?
R – Role: Who or what should the AI act as?
I – Instructions: What exactly do you want the AI to do?
S – Specs: Are there formatting or style requirements?
P – Performance: What is the desired output or end result?

By following CRISP, you give AI the guidance it needs to produce high-quality, consistent outputs.

A real example of CRISP in action

Let’s say you need to generate a quarterly performance summary for your multifamily property, Vero Green. Here’s the exact prompt your team might use:
Quarterly investor reporting is coming up. Write a performance summary for Vero Green in the tone of a CFO, provide an analysis of the broader market in its own section of the report. Include a summary of current quarter cashflow compared to prior periods. All metrics should be presented in tables. End with a summary outlook based on the data analyzed. Package this as an email.

Click to copy this prompt and try it yourself!

Quarterly investor reporting is coming up. Write a performance summary for Vero Green in the tone of a CFO, provide an analysis of the broader market in its own section of the report. Include a summary of current quarter cashflow compared to prior periods. All metrics should be presented in tables. End with a summary outlook based on the data analyzed. Package this as an email.

To understand why this prompt works so well, let’s see how each part maps to the CRISP framework:

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Now that you have the framework, put it to the test using real property data in Lobby AI. No account needed — just start prompting as you would for a report, update, or strategic recommendation.