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Delivery Intelligence

Software Delivery Intelligence
Real-Time Requirements Coverage, Test Health & Release Risk Dashboard

WalnutAI aggregates data from gap analysis, test execution, and requirements traceability into a single dashboard — giving engineering leaders the visibility to make confident release decisions without pulling reports from multiple tools.

Analytics Dashboard demo

Concept Definition

A software delivery intelligence dashboard is a unified analytics interface that aggregates metrics from requirements management, test execution, and coverage analysis to provide engineering and QA teams with a single, real-time view of delivery health. WalnutAI's dashboard connects gap analysis data, test pass/fail rates, requirement coverage percentages, and sprint trends into a composite release readiness score — eliminating the need to manually correlate data from separate tools.

Outcomes

Single

Source of truth for release readiness

0-100

AI-calculated composite risk score

Portfolio

Level visibility across all projects

How It Works

1

Connect your projects

Link repositories, Jira boards, and test suites to aggregate data automatically.

2

AI calculates composite metrics

Coverage %, pass rate, gap count, and defect density feed into a single release readiness score.

3

Dashboard updates in real time

Every test run, gap change, or requirement update is reflected instantly.

4

Make confident release decisions

Drill into any metric to understand risk before signing off on a release.

Dashboard Metrics — What You See

Who Uses the Dashboard

Engineering managers — weekly sprint reviews showing whether the team is improving or degrading quality over time
QA leads — pre-release sign-off decisions based on real-time coverage and gap data
Product managers — feature-level requirement coverage confirming that shipped features are fully tested
CTOs and VPs — portfolio-level quality health across all active projects and teams

Traditional Dashboards vs WalnutAI

Traditional: Separate tools for test results, coverage, and project status — requiring manual aggregation and spreadsheet reporting.

With WalnutAI: Unified dashboard that connects gap analysis, test execution, and requirements traceability into a single AI-calculated release readiness score — updated in real time.

Frequently Asked Questions

WalnutAI’s release readiness score is a composite metric calculated from requirement coverage percentage, current test pass rate, active gap count by severity, and open defect count. The score is presented on a 0-100 scale, with thresholds configurable per team — for example, a team might require a score of 85 or above before approving a production deployment. The score updates in real time as tests run and gaps are resolved.

Related Features

Ready to see your release readiness in real time?

See how WalnutAI gives engineering leaders a single dashboard for coverage, test health, and release risk.

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