DX measures developer productivity. DX gives you a starting point. But not the full answer.
They struggle with what comes next:
DX surfaces signals. But teams still need to interpret them, investigate further, and decide what to change. That work happens outside the tool.
Network Perspective adds collaboration data and deep work insights—showing:
DX gives you delivery performance visibility. Network Perspective gives you leverage.
Spot what slows delivery. Fix it.
Why this matters: When AI makes coding faster, delivery often slows down.
DX is strong for teams that want to:
If your goal is better measurement and visibility, DX is a solid option.
DX provides strong visibility into developer experience and performance—and teams value that.
Clear, actionable insights into engineering health
At the same time, teams highlight a few recurring challenges:
Would like to see more tangible use cases for addressing pain points
It can be hard to interpret some of the metrics without additional context
In practice, teams:
DX helps answer: “what is happening?”
But teams still need to figure out: “why—and what should we change?”
From insight → to action still requires manual work.
Teams using DX typically:
DX supports visibility and alignment. But it doesn’t operate the improvement loop.
Network Perspective is built for teams that need to:
Network Perspective helps teams move beyond visibility and improve how work actually happens.
The application presents information on less obvious aspects of team activity and collaboration between teams.
Teams don’t just get dashboards. They start changing how they work.
People start to become intentional about changing aspects of their working environment… and then they start to act.
That is also why customers describe Network Perspective as:
Much more actionable than other products we considered
DX gives you: signals about performance.
Network Perspective connects those signals to:
So you don’t just see outcomes. You understand the system behind them—and how to improve it.
DX measures performance. Network Perspective helps you fix it.
Remove friction. Protect focus. Measure flow.
AI increases how much code teams produce. But teams don’t struggle with output.They struggle with:
That’s why: faster coding often leads to slower delivery.
DX helps you see performance.Network Perspective helps you fix the system AI is amplifying
Teams don’t just understand problems. They act on them.
From measuring productivity → to operating the system
Operate and improve your system across:
From feedback → to root causes → to action
DX measures developer experience. Network Perspective diagnoses what breaks delivery.
Where time and attention are lost.
This is the biggest gap.
Deep work and collaboration are core drivers of developer productivity.
How deep work and collaboration drive developer productivity (DevEx)
Deep work, collaboration patterns, and overload directly impact delivery performance.
Workload and burnout in tech: how overload impacts engineering performance
DX shows how teams perform. Network Perspective maps how work actually happens across people, teams, and time.
From delivery metrics → to system-level improvement
DX shows how delivery performs. Network Perspective diagnoses why it slows down—and where to fix it.
AI-first teams generate more signals (AI coding shift: why engineering leaders must manage comprehension debt), run faster feedback loops, and rely on LLMs to support decisions.That changes what engineering systems need to support.
DX relies on structured frameworks and interpretation.
Network Perspective uses signals teams recognize immediately:
DX provides insights, benchmarks, and role-based dashboards.
Network Perspective surfaces:
DX distributes dashboards across ICs, teams, and leadership.
Network Perspective turns insights into continuous team-level action loops:
DX combines qualitative and quantitative data and may operate on user-level context.
Network Perspective is designed differently. It works on team-level visibility, with hashed identities and no personal tracking built into the product model.
This approach changes how data is received and used. When people feel comfortable with the data, it sparks curiosity instead of defensiveness. It creates attention, alignment, and open discussion, rather than hesitation or rejection. Teams are more willing to engage with the insights and act on them because they trust how the data is handled.
It also supports a true team contract. Problems are treated as shared, improvements are collective, and accountability stays at the system level—where it can actually drive change.
Trust drives adoption. Adoption drives action. Action drives improvement.
DX measures developer productivity. Network Perspective helps you operate and improve the system behind it.
Go deeper into how engineering systems actually work
Backed by research across engineering teams and organizations
What is a DX alternative?
A DX alternative is a platform that helps engineering teams measure and improve developer productivity, delivery performance, and developer experience—often using a different approach to data, such as focusing on system-level inputs like collaboration, focus, and friction.
How is Network Perspective different from DX?
DX focuses on measuring developer productivity using feedback and engineering metrics.
Network Perspective focuses on what shapes that productivity—friction, focus, and collaboration—and helps teams fix what slows delivery by turning signals into actions.
Does DX include system metrics and benchmarks?
Yes. DX combines developer feedback with system metrics and provides benchmarks using structured frameworks (such as Core 4) to measure productivity and performance across teams.
What does Network Perspective add beyond DX?
Network Perspective adds visibility into:
It connects these signals with developer experience and DORA metrics to diagnose why work slows down and what to fix.
Does DX help teams take action on insights?
DX provides dashboards, benchmarks, and frameworks that help teams understand performance.
Network Perspective goes further by translating signals into concrete actions—using AI to identify root causes and suggest what teams, managers, or platform engineers can improve.
How does Network Perspective measure focus and deep work?
Network Perspective uses collaboration data (such as calendars and communication patterns) to measure:
This helps teams protect focus and improve how time is used.
How does Network Perspective analyze collaboration?
Network Perspective maps collaboration as a network across teams, showing:
This reveals how work actually flows across the organization—not just within code.
Does DX use user-level data?
DX can operate on user-level data from integrated systems (such as engineering tools), which may include identifiable activity depending on configuration and usage.
How does Network Perspective handle privacy differently?
Network Perspective is designed with privacy by default:
It focuses on measuring how the system works—not individual performance.
Can Network Perspective replace DORA metrics tools like DX?
Network Perspective includes DORA metrics but goes further by connecting them with collaboration patterns and developer experience signals to explain why delivery performance changes.
Is Network Perspective suitable for AI-first engineering teams?
Yes. Network Perspective supports AI-first workflows by:
This allows teams to move from static dashboards to continuous system improvement.
Which tool is better: DX or Network Perspective?
DX is a strong choice for measuring developer productivity and tracking performance across teams.Network Perspective is better suited for organizations that want to:
You’re already investing in tools, processes, and people. But without visibility into what slows teams down, you’re flying blind. Our developer experience insights help you cut delays, fix what’s broken, and unlock team speed—without the guesswork. Start small. Scale fast. See results in weeks.
I’ve been working in the Workplace Analytics field for more than 10 years. I’ve completed a Ph.D. in economics and psychology, applying ONA (Organizational Network Analysis) in organizational design.
I believe that advanced Workplace Analytics with strong ethics upfront can enable people leaders to make their teams productive and happy in a new hybrid workspace.Let’s meet on LinkedIn →
I’m a Passionate People and Organization Development and Future of Work Practitioner with over 15 years of experience in senior ad executive people management functions.
MY PURPOSE is to develop effective, data-informed, agile, remote smart organizations that help people grow and feel enabled and self-fulfilled with the contribution that they make to the company's success both as team members and as individuals.Let’s meet on LinkedIn →
I’m working experienced senior full-stack developer working with people and applying research to business. PhD on applied AI, MSc in Computer Science, and MA in Psychology.
What I like most in Network Perspective? We put a lot of conceptual and technological effort in applying ethics and protecting privacy while handling with big data which makes our work challenging and meaningful.Let’s meet on LinkedIn →
I have over 19 years of experience in consulting sales of products and services related to employee development, talent acquisition, learning and development, and transition management.
I'm dedicated to helping leaders manage the value of employee experience by implementing Network Perspective analytical software. I also coordinate various knowledge-sharing initiatives on how to implement workplace analytics in an ethical and impactful way.Let’s meet on LinkedIn →
