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Complete visibility into time & dollars spent
Create meaningful reports and dashboards
Set targets and get notified of delivery risks
Track and forecast all deliverables
Create and share developer surveys
Align and track development costs
Traditional engineering analytics, including Allstacks' previous approach, focused on visualization. We processed millions of data points and presented them through workspaces, dashboards, and forecasts. Teams could see velocity trends, cycle times, and burndown charts. This was valuable—but it was only half the equation.
The problem? Dashboards require interpretation. They show you what happened but rarely explain why it matters or what to do about it. Engineering leaders spent hours analyzing charts, hunting for insights buried in the noise. The data was there, but the intelligence wasn't.
Our new AI-driven approach fundamentally reimagines how engineering teams interact with their data. Instead of building more metrics, we're building actual intelligence.
Allstacks Intelligence digests those same millions of data points but transforms them into something far more powerful: actionable understanding. The AI algorithm doesn't just measure productivity and focus—it comprehends what these concepts mean for your specific teams, in your unique context.
Here's what changes when you shift from metrics to intelligence:
Analysis Instead of Observation: The AI identifies patterns humans might miss, connecting disparate signals across your development lifecycle. It understands when a spike in code churn correlates with missed deadlines or when review bottlenecks predict future technical debt.
Recommendations Over Reports: Rather than leaving you to interpret data, Allstacks Intelligence suggests specific actions. It might recommend redistributing review loads, adjusting sprint capacity, or addressing emerging skill gaps—all based on deep analysis of your team's patterns.
Proactive Risk Identification: The system doesn't wait for problems to become visible on dashboards. It detects early warning signals—unusual commit patterns, degrading code quality metrics, or misunderstood requirements—alerting you before issues impact delivery.
Process Orchestration: Most remarkably, Allstacks Intelligence can actually initiate workflows and automations based on its analysis, moving from passive reporting to active optimization.
This isn't about replacing human judgment—it's about augmenting it with genuine machine intelligence. While dashboards asked engineering leaders to be data analysts, Allstacks Intelligence lets them be leaders.
And here's where it gets really exciting: We're just getting started. While Allstacks Intelligence already transforms how you understand your teams, imagine having an AI that can conduct weeks of senior consultant-level analysis in minutes—diving deep into every possible path through your development data to uncover insights no human could find. That future? It's closer than you think. Stay tuned for what we're building next...
The future of engineering analytics isn't more metrics or prettier visualizations. It's intelligence that understands your teams as deeply as you do—and helps them achieve what dashboards alone never could.