💡 What is Insights?
Insights is Optimal AI’s productivity analytics layer.
It gives engineering leaders a unified, data-driven view of team performance, bottlenecks, and delivery efficiency — directly connected to their GitHub and Jira activity.
By surfacing cycle times, code review velocity, allocations, and goals, Insights transforms scattered development data into meaningful metrics that drive better decisions and higher performance.
🚧 The Problem
Engineering productivity has always been hard to quantify.
Teams rely on anecdotal updates or manual spreadsheets, and leaders struggle to identify what’s slowing projects down.
Traditional tools focus on tasks — not the flow of engineering work.
Without proper visibility, it’s difficult to:
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Spot delivery bottlenecks
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Measure review and merge velocity
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Track time in status or cycle times
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Balance team workloads
Insights solves this by creating clarity out of complexity — automatically.
🚀 The Solution
Insights integrates directly with your repositories and project management tools to build a real-time performance dashboard for your engineering organization.
It combines DORA metrics, AI-based analysis, and custom productivity views so you can see exactly how your teams are working — and where to improve.
With Insights, you can:
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Track velocity and throughput across teams
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Measure review and merge times
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Identify where PRs or tasks get stuck
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Align engineering goals with company OKRs
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Drive data-backed process improvements
🔑 Key Capabilities
📈 Cycle Time Tracking
Insights visualizes the complete development lifecycle — from first commit to deploy — highlighting delays between coding, review, and deployment.
It helps you pinpoint stages where work slows down, whether that’s during PR reviews or QA, and provides recommendations to optimize your delivery pipeline.
🎯 Allocations & Goals
Understand how your team’s time is distributed.
With Allocations and Goals, you can define strategic focus areas (e.g., “60% feature work, 20% tech debt”) and measure actual time spent based on GitHub and Jira activity.
This ensures your engineering effort is aligned with business priorities, not lost in reactive work.
💬 Review Load & Velocity
Review health is a key indicator of productivity.
Insights tracks how many PRs are being reviewed, who’s performing reviews, and average time to merge.
You can quickly see if certain reviewers are overloaded or if feedback loops are too long — allowing you to rebalance and maintain flow.
🧩 GitHub & Jira Integrations
Insights connects seamlessly with your existing tools — no manual setup required.
It continuously syncs data from your repositories and project management systems, transforming raw activity into actionable insights.
All integrations are designed with zero data retention and secure API access, ensuring privacy while maintaining visibility.
🤖 AI-Powered Trend Detection
Beyond static charts, Insights uses AI to detect patterns and anomalies — such as sudden dips in engagement, PR spikes, or delivery delays.
It surfaces these as proactive notifications, helping leaders make adjustments before problems grow.
🧭 Get Started
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Insights for GitHub
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Insights for Jira
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Jira Integration Setup