How to do effective prompting to get the best results?

Account research mostly consists of collecting unstructured crowded information from websites for each account.

This makes the task a cumbersome one. Requires a lot of reading and note taking.

AI can make it much better and faster. So far, the problem is that some prompts just don't give you what you want exactly. So after collecting around 60,000 prompts run in GodmodeHQ, we compiled the best practices you can use while writing a prompt.

Understanding Prompt Types

Prompts can be categorised into several types based on their intended purpose:

1. Research and Analysis

- Company Overview

- Financial Intelligence

- Industry Analysis

- Hiring and Leadership

- Event Tracking

- Personal Research

2. Data Interpretation

- Ideal Customer Profile

- Business Model Analysis

- Pain Point Identification

3. Content Generation

- Outreach Emails

- LinkedIn Messages

Crafting Effective Prompts

1. Be Specific and Detailed

The more specific your prompt, the better the AI can understand and respond to your needs. For example:

Find out any press releases that have been made by @Company in the last 6 months

This prompt clearly defines the type of information needed and the time frame.

2. Use Context Markers

Employ markers like @Company, @person, or @name to indicate where the AI should insert specific information:

Write an outreach email to @name. First, greet the person by name then compliment something from @Company_description

3. Break Down Complex Tasks

For multi-step tasks, break them down into smaller, manageable steps:

Read through @company_description and determine if @Company is doing B2B or B2C

4. Set Clear Parameters

Establish clear guidelines for the output you want:

Keep the email to a maximum of 50 words. Make sure each paragraph is one sentence. It's crucial that the writing is at a 3rd grade level.

5. Encourage Inference and Analysis

Ask the AI to draw conclusions based on given information:

Read through @company_description and infer 3 potential pain points that are relevant to @user_company_description

Real-World Applications

1. Sales and Marketing

- Crafting personalized outreach emails

- Identifying ideal customer profiles

- Analyzing competitors

2. Research and Development

- Tracking industry trends

- Monitoring recent developments in a company

3. Recruitment

- Identifying hiring needs of potential clients

- Crafting recruitment outreach messages

4. Business Intelligence

- Analyzing business models

- Identifying company pain points