Shine a New Light on Productivity

See how time is spent, what slows delivery, and pinpoint where to improve. Skip the duct-taped spreadsheets and upgrade to effortless engineering metrics that make sense.
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PR Cycle Time
Burn Down
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.

Answer real questions with minware’s report library

Interruption Cost

How many interruptions do we face?

See the extent that unplanned work is interfering with productivity in the Interruption Cost Dashboard.
Focus Time

How can we increase focus time?

Evaluate inefficiencies, identify costly context switching, and prevent burnout using the Productivity Dashboard inspired by Uber.
Ticket Cycle Time

What are the biggest bottlenecks?

Investigate how tickets flow between statuses, where the most time is spent, and unexpected bounce backs in the Ticket Status Dashboard.
See Your Data

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.
Read about minware’s time model >

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.
See report builder live >

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.
Read the minQL docs >

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.
See all integrations >
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 help measure developer productivity without invasive monitoring?

minware tracks developer productivity metrics using Git, ticketing, and CI/CD activity. It calculates effort allocation, delivery pace, and rework without monitoring screens or requiring time logging.

Can minware help track productivity across the full development lifecycle?

Yes. minware tracks delivery patterns from sprint planning to production. It shows how long work takes, how much is unplanned, and how much time is lost to idle stages. These development productivity metrics improve planning and execution.

How does minware compare to other tools that measure software developer productivity?

minware calculates developer efficiency using code delivery patterns, not commit counts or time tracking. It shows where work slows down and how developers contribute across the system.

Can minware track how much time developers spend on bugs or unplanned work?

Yes. minware classifies work by type and shows how much engineering time is spent on bugs, rework, or scope changes. These software developer performance metrics support better prioritization and root cause analysis.

Does minware support agile productivity metrics?

Yes. minware tracks story point completion, sprint carryover, unreviewed PRs, and WIP trends. These metrics help agile teams improve velocity and delivery predictability.

How does minware support measuring engineering efficiency across teams?

minware allows teams to compare metrics like cycle time, review speed, unplanned work, and deployment delay. These engineering productivity metrics help managers identify friction and improve consistency.

Can minware improve how we evaluate software developer performance?

Yes. minware surfaces trends in code review quality, delivery consistency, and rework rate to support performance evaluations without subjective scoring.

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