2 posts tagged with "Requirements"

As a business analyst, you're documenting rules for a new invoicing system. You write: "Invoices must be sent within 30 days." But when implemented, disputes arise—customers claim late fees for invoices sent on day 31. The rule was ambiguous, leading to inconsistent application and legal issues.

This highlights a frequent issue in business rules documentation. Rules are often stated vaguely, without context, conditions, or exceptions. AI prompts help you create precise, testable rules that systems can enforce and auditors can verify.

Ever tried reading a technical specification and felt like you needed a decoder ring? Or sat through a system demo where the developers and business people seemed to be speaking different languages? That's the problem with most technical documentation—it speaks to insiders but leaves everyone else in the dark.

Concept of Operations (CONOPS) documents are supposed to bridge that gap. They're the story that explains how a system will work in the real world, for real users. But too often, they end up as dry, technical tombs that gather dust on shelves.

The issue? We write CONOPS like we're documenting existing systems, not envisioning how they should work. AI can help you create CONOPS that are engaging, comprehensive, and actually get read.