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Uplevel review

#31 of 48 in DevOps Analytics Software

A specialized analytics platform for custom engineering KPIs and workforce insight.

6.1/10Editor score
Uplevel6.1 Visit Uplevel

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Uplevel is an engineering intelligence platform for mid-to-large engineering organizations, typically those with 100 or more developers. It brings delivery, reliability, team-practice, resource-allocation, and AI-impact analysis into one environment. Engineering leaders can track DORA metrics, PR health indicators, work categorization, engineering time allocation, and custom leading or lagging indicators. Its focus is broader than delivery reporting alone, with qualitative analysis, roadmap planning, and capability-building support also included.

The analytics depth is the main reason to consider Uplevel. Alongside deployment frequency, lead time, change failure rate, and MTTR, it surfaces PR complexity, review wait times, and handoff delays. Machine-learning issue classification supports automatic work categorization, while custom filters, pivots, segments, organizational views, and comparisons across time periods allow teams to examine metrics in ways that fit their operating model. AI impact tracking extends the scope into the software development lifecycle. Integrations include Jira, GitHub, GitLab, Azure DevOps, Jenkins, Bitbucket, Slack, Microsoft Teams, PagerDuty, Google Calendar, ChatGPT, Microsoft Copilot, Claude, and Cursor.

Pricing is scoped and discussed after an initial free StackUp session, so Uplevel is oriented toward organizations evaluating a tailored analytics engagement rather than self-serve adoption. The published product details identify cloud deployment, documentation support, SOC 2 and GDPR compliance, and SSO. That profile fits mid-market and enterprise teams with multiple systems, established engineering processes, and a need to compare performance across teams or time periods. Smaller teams seeking a simple dashboard, a perpetual free plan, or broader deployment and support options should consider a narrower alternative.

Uplevel pros and cons

  • Where it wins
    • Combines DORA, PR health, resource allocation, and AI impact metrics
    • Supports custom KPIs, filters, pivots, segments, and organizational views
    • Connects Jira, GitHub, CI/CD, collaboration, calendar, and incident tools
  • Where it doesn't
    • Pricing is scoped through sales rather than published as standard plans
    • Cloud-only deployment limits infrastructure and hosting choices
    • Support evidence is centered on documentation rather than broader channels

Uplevel fact sheet, pricing and score →

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