Metrics alone fall short – unlock the ‘why’ behind developer productivity
Scott Hillman
Product Marketing
Many organizations use metrics like DORA or cycle time to gauge developer productivity. These are good starting points. But metrics alone lack the context for meaningful improvements. DORA metrics might show high deployment frequency, or rising failure rates, but they don’t explain why. Are bottlenecks, team dynamics, or organizational issues to blame? You can’t answer that without deeper insight.
At DX, we’ve learned that collecting metrics is just the first step. To actually utilize metrics and drive productivity improvements you need three additional pieces:
Capturing metrics is straightforward; using them effectively is not. A common challenge is that organizations collect tons of data but don’t know what to do with it. To address this, we designed the DX Core 4 – a unified framework that builds on the best ideas from DORA, SPACE, and DevEx, distilling them into four key dimensions: speed, effectiveness, quality, and business impact. This evolution offers a focused set of metrics that works at any sized organization, and can be augmented with additional metrics for specific goals.
The DX Core 4 is backed by benchmarks from data across 200+ companies in tech, finance, retail, and pharma. Organizations using the DX Core 4 consistently report a 3-12% increase in efficiency, a 14% boost in feature development time, and a 15% improvement in engagement. These benchmarks provide teams with clear alignment on goals and a way to track progress.
A clear set of metrics creates a shared definition of what productivity means, and gets everyone rowing in the same direction. Armed with initial baselines and benchmarks, the next question is: “what should we do to actually improve productivity?”
The challenge with metrics is that they tell us the what but not the why. For example, a high change failure rate might indicate stability issues, but it doesn’t explain whether the underlying problem is a testing gap, unclear requirements, developer burnout, or something else.
This is where DX provides unique insight through its developer surveying capability. DX Snapshots collect feedback on 14 key drivers of engineering performance that provide answers on exactly what is inhibiting (or enhancing) developer productivity. Ciera Jaspan at Google captures the value of this well:
A common concern with survey data is that it is unreliable and difficult to collect. Using DX, customers are able to achieve sustained 96% participation rates which provide statistically reliable data points that can be broken down to the team level.
Without these qualitative insights, teams are left feeling lost on what steps to take to improve productivity metrics. By combining qualitative and quantitative metrics in one solution, DX provides leaders with a complete view into productivity.
DX offers out-of-the-box metrics and reports covering common use cases. But we know that each organization and team is unique. For example, different teams may want to calculate cycle time differently, based on their specific Jira workflows.
A common challenge with engineering metrics tools is that they don’t allow you to go beyond what’s offered out of the box. DX is unique in offering customers access to their own data lake, along with an AI-powered interface for building custom reports and dashboards.
Metrics are just the start. The real value is knowing what to focus on and how to make meaningful improvements. DX brings everything together in one platform — metrics, research-backed guidance, developer insights, and customizability. That’s why DX is the only software engineering analytics tool that delivers a complete picture of developer productivity.
To learn more about DX and our full suite of products, request a demo through our website.