Better Requirements, More Accurate Estimates: How Quanter AI Improves Software Project Management

A few months ago, we told you how we had improved the estimation of software projects with Smart AI Estimation, thanks to Generative Artificial Intelligence. But in software development, it all starts with the requirements: if they are well-defined, the estimates will be more accurate and the development of the project more efficient.

That’s why we have taken it a step further with AI Requirements Enhancement, a new feature that allows you to optimize the quality of software requirements or user stories from the get-go. This ensures that they are clear, complete, and aligned with industry best practices or organization-specific rules. Keep reading so we can tell you how.

Houston, we have a problem: requirements

Does this situation sound familiar to you? You get the project requirements that you must estimate, but something doesn’t add up: ambiguous sentences, incomplete information, or missing key details. You start asking questions, several rounds of review are generated and, in the end, after many email exchanges, you have an estimate that becomes more complicated than necessary. And what does this entail? Cost overruns and delays that we could have avoided.

Our new functionality is the solution you need for this problem. Simply enter requirements or user stories in natural language and Quanter automatically analyses and improves them. Not only does it rephrase them to make them clearer and more complete, but it also explains how it has interpreted the information, raises key questions, and justifies each improvement. This allows teams to better understand the changes and make more informed decisions for the final estimate.

This functionality also allows you to export the enhanced requirements to tools such as Jira or any other application integrated into Quanter or download them in a file for use in different environments. In this way, we not only achieve a better estimate, but also more accurate and reusable documentation for the entire project life cycle.

Fewer mistakes, more confidence in every decision

With Quanter’s new Requirements Enhancement, we’re bridging the gap between how teams express their needs and how they translate into accurate estimates. This advancement represents a transformation in the way software projects are planned, reducing errors, optimizing times, and allowing teams to work with greater confidence.

“The quality of an estimate depends largely on the clarity of the requirements. With this new functionality, we allow teams to work with better-defined requirements without additional effort, which directly impacts the accuracy of their estimates and the efficiency of their projects,” explains Dácil Castelo, CEO of Quanter and LedaMC. AI Requirements Enhancement is now available to Quanter users, natively integrated into the platform. If you haven’t tried it yet, it’s time to find out how Quanter can help you take your project management to the next level. Request your demo now!