Our 30-person company wants to build system-dependent operations, but we do not know what our customers are actually struggling with. How do we run our first AI project using a simple web scraper to find their real pain points?

Question

Tyler Smith · Accepted Answer

For a 30-person company, the safest and highest-impact first AI project is not a complex internal system. Instead, use AI and a simple web scraper to extract real-world operational pain points directly from your market, allowing you to refine your core processes and beat your competitors.

You do not need an expensive IT department to run this. Have one team member write a simple 30-line scraper using Playwright to extract public data from competitor reviews, industry forum posts, or job ads where people are complaining about operational failures. Once you have this raw text, feed it into an AI tool to categorize and analyze the data.

Ask the AI to identify the top three operational complaints customers have about your competitors. For example, you might discover that your competitors constantly fail at prompt communication or project handoffs. Take these insights directly to your next Level 10 Meeting. Use this data to refine your own core processes, ensuring your team is specifically structured to solve those exact pain points. This simple exercise costs almost nothing, carries zero technical risk, and gives your team a clear, data-driven blueprint to improve your service delivery and win more market share.