Jira Insights You Can Act On
Improve your development lifecycle end-to-end
Quality
Efficiency
Predictability
Value
Answer real questions with minware’s report library
How can we increase velocity?
When will our projects finish?
Are our sprints going to plan?
Debug bottlenecks with ease
Debug bottlenecks with ease
Break down metrics by any historical field
Break down metrics by any historical field
Customize any metric with minQL
Customize any metric with minQL
Integrate with any source and front end
Integrate with any source and front end
Enterprise flexibility, security, and performance
Dynamic Table Caching
Custom Data Integration
Identity/Team Management
Role-Based Access Control
On-Premise Ingest Agent
AICPA SOC 2 Type 2 Certified
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.