DORA metrics that lead you forward

See your DORA metrics in minutes, plus the insights to help your team improve, with minware's purpose-built engineering management data platform.
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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

Start from comprehensive pre-built reports and industry benchmarks.

How can we increase velocity?

Identify bottlenecks at a glance with minware’s Cycle Time and Workflow dashboard.

Are we resolving high-priority bugs on time?

Access a full set of metrics broken down by bug priority level with minware’s Bug Resolution dashboard.

What are the biggest bottlenecks?

Investigate how work flows between different ticket statuses, where the most time is spent, and unexpected bounce backs in the Ticket Cycle Time dashboard.
Browse all pre-built reports

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 calculate DORA metrics more accurately than native GitHub or Jira dashboards?

minware combines Git, ticketing, and CI/CD data to deliver complete and reliable DORA metrics. It maps deployments to commits, pull requests, and tickets to calculate lead time for changes, deployment frequency, change failure rate, and MTTR with high precision.

What makes minware a better DORA metrics tool than open-source dashboards or custom scripts?

minware is a production-ready DORA metrics software platform that handles rebases, multiple pipelines, and hybrid workflows. It replaces brittle dashboards with a robust DORA metrics dashboard for enterprise reporting.

Can minware track DORA metrics across GitHub, GitLab, Bitbucket, and Azure DevOps?

Yes. minware supports GitHub DORA metrics, GitLab DORA dashboards, Bitbucket integrations, and Azure DevOps pipelines to unify measurement across environments.

How is change failure rate calculated in minware?

minware detects failed deployments via incident linkage, hotfixes, or rollbacks and reports the percentage over time. These change failure rate metrics highlight systemic delivery risks.

How does minware reduce MTTR and help teams recover from failures faster?

minware tracks MTTR by linking incidents to deploy events. It helps teams reduce MTTR by surfacing where failures occur and what recovery actions were effective.

Can minware track DORA metrics automatically without requiring changes to developer workflows?

Yes. minware requires no tagging or status changes. It calculates all four DORA kpi metrics automatically using engineering system data.

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