How It Works - Uplevel

How Uplevel Works

Uplevel pulls data from your existing tools and uses machine learning to transform it into engineering metrics and actionable insights.

Connector hub

Integrates to source systems and handles all enterprise IT, security, and privacy requirements.

Data science

Our advanced ML models compute actionable insights from patterns and behaviors in your data. We built multiple layers of logic to deal with inconsistent team processes and bad data hygiene.

User experience

Metrics and insights are synthesized into one dashboard to align your organization with a single source of truth. Track benchmarks internally and against the industry to set appropriate targets for improvement.

Allocation analysis

Our AI models and configurable rules engine are built to uncover how all your team’s time is actually allocated so you can align work to the top business goals.

Predictive models

Predict sprint success, work complexity, messaging interruptions, and meeting types with leading productivity indicators that drive demonstrative change.

Derived benchmarks

Get recommendations based on industry benchmarks across all insights so your teams can prioritize the biggest opportunities for improvement.

Team health analysis

Optionally identify context switching, available deep work time, burnout, and other factors that are critical to team health.

Anomaly detection

Identify bottlenecks and increase velocity by modeling knowledge silos, cycle time, and PRs that need attention so you can.

Data cleansing

Team organization, project tracking, and work methodologies are inherently messy. Uncover nuances and the ground truth behind your engineering initiatives, regardless of hygiene or processes.