tyler-smith.com · Questions & Answers

We are preparing for a clean exit using the Step by Step Exit framework and want to uncover blind spots in our service delivery that could hurt our valuation. How do we use a simple web scraper to find and fix hidden customer complaints before our Value Gap Assessment?

When preparing your business for an exit, unresolved customer friction represents a massive risk that will drag down your valuation during a Value Gap Assessment. To identify and resolve these issues before a buyer finds them, you can build a simple web scraper to harvest public feedback.

Do not waste money on expensive market research firms. Instead, have a developer write a basic 30-line scraper using a tool like Playwright. Set the scraper to scan online forums, industry review boards, social media channels, and public support communities for mentions of your business and your primary competitors.

Configure the tool to extract raw text from posts where users are complaining about service delays, billing issues, product failures, or customer service bottlenecks. Once you have gathered this feedback, use an AI tool to categorize the complaints into themes.

Bring this data directly into your weekly Level 10 Meeting™ and run it through the IDS® process. Treat these public complaints as operational issues that must be solved at the root level. By fixing these service delivery gaps now, you build highly reliable, system-dependent operations that show potential buyers your business is durable and ready for a clean, premium exit.

Category: AI-Powered Operations

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