Glossa Launches Categories: AI-Powered Quality Analysis That Strengthens Requirements

SAN FRANCISCO - EntSun -- On December 15, 2025, Glossa launched Categories, a feature that automatically groups related requirements and provides AI-powered quality analysis to help teams identify gaps, contradictions, and weaknesses before projects begin.

Categories organizes requirements into logical groups—like "Data Migration," "Security & Compliance," or "Reporting"—making large requirement sets easier to navigate. The real innovation lies in comprehensive quality analysis for each category.

"Good requirements are at the heart of good projects," said Alison Meyer, Founder and CEO of Glossa. "But most teams don't discover their requirements are incomplete until they're deep into development. Categories helps teams strengthen requirements up front so projects stay on time and on budget."

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Quality Analysis That Prevents Project Failures

For every category, the platform provides:

• Confidence Score – Overall assessment of quality and completeness
• Missing Requirements – Suggestions for what should be included
• Improvement Recommendations – Ways to strengthen existing requirements
• Contradiction Detection – Flags for conflicting requirements
• Overlap Identification – Highlights redundant requirements
• Root Cause Analysis – Explanations of why requirements are weak
• Intent Summary – Description of the category's purpose

This transforms requirements review into manageable pieces—allowing teams to focus on one category at a time and collaborate with stakeholders who only need specific portions of the project.

Automatic Categorization

Categories automatically assigns requirements based on content, eliminating manual sorting. It supports reusable categories across projects for consistency.

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"When you're looking at 200 requirements at once, it's impossible to see the forest for the trees," Meyer explained. "Categories breaks that down and tells you exactly what's missing before you start building."

Catching Problems Early

Teams typically discover requirement gaps during development—when fixes are expensive. Categories shifts discovery to planning, where fixes cost hours instead of weeks.

For example, if a client requests "secure data storage" without specifying encryption standards or access controls, Categories flags this as incomplete and provides a low confidence score—prompting the team to gather details before development.

"Projects fail because requirements weren't clear enough at the start," Meyer said. "Categories ensures requirements are solid before development begins."

Availability

Categories is available to all Glossa customers at no additional cost. Teams can get started at glossapro.ai.