Jira Insights You Can Act On

Effortlessly transform Jira data into clear, visual reports. minware surfaces the sprint blockers, scope creep, and stale work that your default reports can't catch.

The output-first approach to AI Impact is broken.

Code output is up

Merged pull requests on GitHub have more than quadrupled since 2023, reaching 130M per month in August 2026.
Source: GitHub

Value is flat

Only 6% of companies are “high AI performers” that report “significant” AI impact and ≥5% impact on earnings, unchanged from 2025 to 2026.
Source: McKinsey

A strategy that works: stop slop to accelerate value.

minware’s Lean AI Framework™ unlocks value by eliminating everything that gets in the way: rework, bugs, reviewing low-quality code, context switching, babysitting agents, and more.

Measure best practices that drive AI impact.

Other platforms measure outcomes, but don’t tell you how to get better.
minware offers actionable metrics that help teams improve AI impact.

Team Workflow Efficiency

Ticket Work-in-Progress (WIP)

Planning and Prompting

Ticket Size
Pull Request (PR) Complexity
Pre-Merge Churn Rate
Post-Merge Churn Rate

Session Automation

Human Commit Rate
Agent Session Length
Human Intervention Rate
Cloud Agent Use/Success Rate
Tool Use/Runtime

Culture

AI Rules of Engagement
Read about best practices in the Lean AI Framework

Customize metrics for the way each team creates value.

minware’s hypercube data model and minQL language (patent-pending) interlink and surface every SDLC artifact.
We help you customize editable metric formulas for each team’s value creation workflow – aligning statuses, labels, custom fields, and team conventions.
Any Metric ✕ Any Dimension = Accurate Value-Aligned Insights

minware integrates with every major development tool.

minware also supports custom CSV/JSON and OpenTelemetry data for spreadsheets and internal tools.
See the full list of integrations

Save your tokens and leave the rest to us.

Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.

Automated Caching & Orchestration

The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.

Standard Data Modeling & Benchmarks

minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.

Vendor Data Linking & Normalization

minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.

Error Handling & Recovery

minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.

Identity Resolution

minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership.

On-Premise Ingest Agent

For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

How does minware improve on Jira's built-in reporting tools?

Jira reporting tools rely heavily on status fields and workflow transitions, which can be inaccurate or inconsistently maintained. minware enhances Jira reporting by using Git, PR, and CI/CD data to measure real delivery progress. It reveals hidden work, missed reviews, cycle time breakdowns, and delivery gaps that standard Jira reports and gadgets can't detect.

Can minware support Jira reports across multiple projects and teams?

Yes. minware eliminates the need to create Jira dashboards for multiple projects or rely on Jira cross-project reporting plugins. It aggregates ticket and Git activity across any number of boards and teams, generating unified analytics like lead time in Jira, cycle time per team, and delivery flow by epic or sprint. This simplifies enterprise-scale Jira reporting and enables consistent KPIs.

How does minware calculate cycle time and lead time compared to Jira?

minware calculates lead time and cycle time using actual development and deployment events, not just ticket status changes. It provides accurate cycle time in Jira across all stages such as coding, review, idle, and test. This allows engineering leaders to measure how long work actually takes, instead of relying on Jira cycle time gadgets or manual spreadsheet reports.

Can minware replace custom Jira gadgets and reporting plugins?

Yes. minware replaces the need for custom Jira gadgets, dashboard plugins, and add-ons for advanced reporting. It tracks Jira cycle time, throughput, unplanned work, stale stories, and sprint carryover without requiring extra configuration. This makes it easier to manage engineering KPIs without relying on fragile customizations or third-party Jira reporting plugins.

Does minware support Jira analytics for code review and delivery health?

Yes. minware links tickets to Git data to show how long it takes to review and merge work after development is complete. These Jira analytics go beyond traditional ticket tracking by surfacing issues like delayed reviews, abandoned PRs, and insufficient review depth. This provides a more complete picture than standard Jira workflow reports or sprint gadgets.

How does minware support Jira dashboards used by engineering leadership?

minware provides leadership dashboards that consolidate Jira metrics, Git activity, and CI/CD signals into actionable insights. These dashboards include cycle time in Jira, lead time trends, sprint completion rates, and rework patterns. Unlike Jira dashboard gadgets that are limited to one project or board, minware dashboards cover your entire delivery organization.

Can minware measure delivery work that isn’t tied to Jira tickets?

Yes. One of minware’s key advantages is its ability to detect ticketless work using Git analysis. It shows how much engineering effort never passed through Jira and allows leaders to address gaps in planning or process discipline. This addresses a major blind spot in Jira analytics tools that only measure what’s explicitly ticketed.

Does minware support Jira AI plugin functionality or forecasting?

minware is not a Jira AI plugin, but it provides a software management AI assistant. It identifies risks such as sprint instability, late merges, or excessive WIP. These features give engineering managers the kind of predictive insight expected from advanced Jira AI plugins, but with greater accuracy and less maintenance.