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Azure DevOps project intelligence

Make Azure DevOps work items ready for delivery before sprint risk shows up.

KontexIQ reviews Azure DevOps epics, features, user stories, bugs, acceptance criteria, comments, and linked project context to find requirement gaps, draft test scenarios, and recommend risk-based testing scope.

ADOBoards and work item context
RBTTesting scope with evidence
EntraMicrosoft-first access model
KontexIQ project intelligence dashboard preview
Azure DevOps readiness preview Source-backed gaps, test scenarios, confidence, and RBT scope in one workflow.

Why Azure DevOps teams use KontexIQ

Less manual review, stronger sprint commitments

KontexIQ gives product, QA, and delivery teams a review layer over the work already happening in Azure DevOps, without forcing a new planning system.

01

Work Item Readiness

Catch unclear descriptions, missing acceptance criteria, open assumptions, edge cases, dependency risk, and questions that should be resolved before sprint commitment.

02

Test Coverage Intelligence

Generate practical test scenarios from the selected work item and project memory across happy path, negative, regression, integration, data, and edge-case coverage.

03

Risk-Based Testing

Recommend manual, automation, hybrid, skip, investigate, or blocked decisions with rationale, confidence, and next action.

04

ADO Loop Closure

Use the Azure DevOps extension to analyze work items and post unresolved questions back into the discussion when the team approves.

Best fit

For teams already running delivery in Azure DevOps

KontexIQ fits teams that use Azure DevOps Boards for stories, defects, sprint planning, QA design, release readiness, and governance reviews.

Product ownersImprove story clarity before planning and reduce churn during refinement.
QA and test leadsDraft broader test coverage faster and defend RBT choices with evidence.
Delivery leadersSee requirement and coverage risk before late-cycle surprises.
ADO and security teamsUse Entra-first auth, server-side secrets, auditability, and private Azure deployment options.

Azure DevOps workflow

Start with one work item, then scale to project memory

A team can begin with a focused readiness audit and expand into project-level Ask KontexIQ, generated tests, RBT plans, and release confidence.

Connect Azure DevOpsInitialize a project with Microsoft sign-in or PAT fallback.
Analyze work itemsReview title, description, acceptance criteria, comments, and related context.
Resolve gapsTurn ambiguity into concrete clarification questions and acceptance-criteria suggestions.
Draft testsGenerate scenarios QA can accept, edit, reject, or convert into test work.
Post backSend approved questions into Azure DevOps discussion and re-run after updates.

Azure DevOps audit

Send us your Azure DevOps review context

Share how your team uses Azure DevOps today. We will follow up with a focused walkthrough or a work item readiness audit plan.

Best fit: Azure DevOps teams with active QA, product, and delivery ownership Typical audit: 10-25 work items to start, then one team readiness review Private Azure deployment available for customer-owned data planes
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