AI-Powered Requirements Analysis within Azure DevOps
Trusted by the world’s leading businesses
Trusted by the world’s leading businesses
Manual requirement validation? Not anymore.
The old way
- I’m spending half of my day reading through long stories just to see if they make sense.
- I always miss gaps in requirements.
- Review calls turn into debates with no real direction.
- Setting priorities is based on who argues best during meetings.
The New Way with Analyze
- Now I run Analyze, and in a few seconds it tells me what’s clear, what’s missing, and what needs work.
- Now, AI suggests gaps to me within Azure DevOps during the sprint planning.
- I get a short, written analysis summary that cuts through noise and gives next steps right away.
- Analyze uses practical models like MoSCoW and SWOT to sort what’s most valuable.
A closer look at Analyze
The Analyze feature of Copilot4DevOps puts five proven evaluation frameworks at your fingertips. With that, teams can use AI to check requirements against INVEST principles, prioritize with MoSCoW, assess strategic fit using SWOT, verify quality with the 6C’s method, or evaluate impact through PABLO criteria.
Teams use it during backlog grooming, sprint planning, or change reviews to spot weak requirements early. The tool integrates seamlessly with Azure DevOps, providing clear quality scores and notes within the same workspace. This keeps planning smooth, avoids confusion, and ensures every story is ready to move forward.
Key Capabilities
Made for everyone who deals with requirements
Business Analysts
Use the AI inside Azure DevOps to ensure every work item is easy to understand for all stakeholders, including tech and non-tech. They can use the 6C’s method to ensure clarity and completeness of work items.
Product Owners
Analyze requirements using an AI during backlog grooming to find weak user stories and organize work items according to their priorities.
Scrum Masters
During sprint planning, Scrum Masters can analyze requirements against the INVEST model to ensure each work item is small, testable, and clear enough to move forward.
Project Managers
Get the overall quality score of work items and recommendations for improvements inside Azure DevOps, which will help you understand where delays might come from and which stories need more attention.
QA Engineers
Analyze user stories with AI to ensure that acceptance criteria are complete and test cases match the AC. It will help you find unclear logic before testing even begins.
Release Managers
RMs can generally use Analyze to check whether new or changed items are fully detailed and don’t miss any dependencies that could break production.
Compliance Officers
Find missing requirements using the 6C’s method. Addressing compliance gaps early saves money and time.
Stakeholders or Clients
Stakeholders can analyze requirements against different frameworks, take a closer look at the suggested improvements, and ask the team to implement them to avoid any issues later.
Analyze supports five proven frameworks and techniques
6C’s Method
INVEST Model
PABLO Framework
MoSCoW Method
SWOT Analysis
Top use cases in different industries
Automotive: validating safety-critical feature requirements
Assume that the automotive team is developing an advanced driver assistance system. In this case, if any single requirement, such as “lane departure warning,” is vague or incomplete, it can introduce risks, failures, costly recall expenses, and safety investigations. Also, manual reviews take days, so that’s not a viable option.
However, automotive teams can use the AI Analyze within Azure DevOps to validate requirements against the 6C’s method. This AI-powered analysis evaluates requirements based on clarity, completeness, and correctness. It also finds missing requirements, gaps, and inconsistent terminology before product development starts. So, risks are addressed early.
Aerospace: Strategic assessment of Avionics modernization
Let’s say the Avionics team is planning to upgrade the cockpit system. For that, they need to consider how these changes will affect regulatory compliance, pilot training costs, and supply chain constraints. This plan of replacing analog instruments with digital systems looks easy until it hits the hard realities.
As a solution, teams can run the AI-powered SWOT analysis within Azure DevOps to assess the strengths, weaknesses, threats, and opportunities associated with transformation requirements. For example, it can suggest strengths like “improved visibility through digital displays” and threats like “lots of challenges associated with keeping older aircraft compatible with new tech.” This way, managers can make informed decisions backed by real analysis and context and don’t depend on assumptions.
Banking: Evaluating digital banking features against business value
Product teams working in retail banks often get hundreds of feature requests from different branches, online channels, and customers. Everyone demands different features, such as peer-to-peer payments, cryptocurrency support, or savings goal trackers. However, a limited engineering team can’t fulfill everyone’s demand.
To solve the problem, teams can use the Analyze feature of Copilot4DevOps to evaluate all backlog items against the PABLO framework. It validates requirements based on the problem, advantage over competitor offerings, benefit to customer segments, longevity of the solution, and outlay required. After successfully prioritizing requirements using the PABLO framework, teams can start implementing them.
Here is what you gain with AI Analyze within Copilot4DevOps
- Analyze finds missing gaps in requirements using an AI within seconds.
- Cuts down the review time and speeds up backlog approvals.
- Provides suggestions for improvements and helps in avoiding issues later.
- Performs consistent analysis by using the same standards always.
- Helps teams set clear, shared priorities.
- Reduces rework caused by vague requirements and saves money.