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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Effortlessly answer any question with rich, trustworthy data.

What's my Token Cost by Project ?

Start from pre-built reports and industry benchmarks.

How many interruptions do we face?

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

How can we increase focus time?

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

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.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

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 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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