Researching complex government business processes with ChatGPT | Alpha | PandaiTech

Researching complex government business processes with ChatGPT

An example of an in-depth study on government tender procurement procedures (Federal Procurement) for small businesses.

Learning Timeline
Key Insights

The 'More Names, The Better' Principle

AI output quality depends heavily on the input. The more agency names, specific terms, and problem details you provide in your prompt, the more accurate and useful the resulting analysis will be.

AI as a Time Lever

Research that typically takes 1 to 2 days to perform manually (web browsing) can be completed in just a few minutes with a well-crafted prompt.

Use Real Communication Context

Don't just rely on general information. Paste copies of your actual conversations or emails with agencies into ChatGPT to get more tailor-made interaction advice.
Prompts

Federal Procurement Analysis

Target: ChatGPT
Perform a deep research analysis on federal agency and private sector procurement practices with a 10-year retrospective. Focus specifically on small businesses and Supplier Diversity. Provide details on: 1. Average onboarding time for a small business to work on a federal contract. 2. Detailed explanation of how the sam.gov registration system works and its typical duration. 3. Step-by-step required processes and expectations. 4. Factors that drive system complexity. 5. Common challenges faced by vendors. Provide the output as a comprehensive report for an entrepreneur.
Step by Step

Researching Complex Government Procurement Processes with ChatGPT

  1. Open your web browser and go to the ChatGPT website.
  2. Draft a highly detailed (fleshed-out) prompt by including specific details such as 'Supplier Diversity'.
  3. Give ChatGPT specific instructions to focus its research on 'federal agencies' and 'small business' procurement practices.
  4. Set timeline parameters in the prompt, such as a '10-year retrospective', to obtain a long-term trend analysis.
  5. Press 'Enter' to start the AI's 'deep research' process to generate a comprehensive analysis report.
  6. Review the generated report for critical details such as average 'onboarding' times and how the 'sam.gov' registration system works.
  7. Identify factors driving system complexity and common challenges faced by vendors within the report.
  8. Use this report as a starting point for your next iteration.
  9. Copy-paste any communications or emails from government agencies into ChatGPT as additional context.
  10. Ask ChatGPT for advice on how to interact with the agency based on the communication context provided.