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.
Work Type Breakdown
Ticket Link Rate
AI Chat
Points vs. Commitment

Improve your development lifecycle end-to-end

Quality

Track bug rates, time-to-fix, and more to address quality issues at their source.

Efficiency

Look at cycle times, task sizes, and more to uncover hidden bottlenecks.

Predictability

Compare ticket, sprint, and project progress to plans and pinpoint delivery risks.

Value

See where engineering time went to track effort vs. value delivery.

Debug bottlenecks with ease

Debug bottlenecks with ease

Zoom in with minware’s full work timeline to see exactly what happened and why.
minware builds the timeline from Git, ticket, and meeting data using our patent-pending time model – no time tracking required.

Break down metrics by any historical field

Break down metrics by any historical field

All reports are fully editable with minware’s report builder.
Break down metrics like PRs merged or active work time by any current or historical field (e.g., PR approval or ticket label).
minware natively stores the complete history of every field (including custom fields and labels) for seamless end-to-end visibility.

Customize any metric with minQL

Customize any metric with minQL

Skip the Jira cleanup – all metrics are fully editable with minQL formulas.
Access any field from any source (including custom CSV/JSON uploads) with a full suite of database functions for total control and flexibility.
minQL also supports advanced SQL features like time-series joins and window functions.

Integrate with any source and front end

Integrate with any source and front end

minware integrates with popular Git, ticket, and calendar systems, as well as any custom CSV/JSON format.
View reports in minware’s dashboards, download CSV, or connect to any tool with our minQL-based ODBC driver.
GitHub
Azure
Jira
Google
CSV/JSON
More
Data Ingest
Identity Linking
Time Modeling
Performance Caching
Time-Native minQL Engine
minware Dashboards
CSV Export
BI Tools
Headless ODBC

Enterprise flexibility, security, and performance

We designed minware from the ground up for Fortune 500 customers to handle homegrown systems, fragmented tools, large orgs, and secure environments.

Dynamic Table Caching

The patent-pending minQL engine dynamically caches tables for on-the-fly custom metrics with instant results for millions of rows.

Custom Data Integration

Integrate seamlessly with any structured or semi-structured data source including flat file uploads and custom APIs. Read more >

Identity/Team Management

minware automatically normalizes aliases across all your systems and supports multi-level team structure imports in any format. Read more >

Role-Based Access Control

Easily control team and invidual data access permissions for minware users based on their role and team membership. Read more >

On-Premise Ingest Agent

The on-premise ingest agent uploads files to a shared storage bucket. You maintain full control over keys and data. Read more >

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.