LinearB helps engineering leaders optimize code workflows, delivery pipelines, and developer productivity with metrics, benchmarks, automation, and coaching. It also explicitly covers developer experience and includes signals around flow/efficiency, including focus time in its APEX framing. That’s useful.
But engineering leaders don’t just need better workflow control. They need to understand what shapes delivery before it shows up in throughput, cycle time, or DORA.
Network Perspective adds the missing layer:
Why this matters: When AI makes coding faster, delivery often slows down.
LinearB helps optimize engineering workflows. Network Perspective measures what shapes delivery—and makes clear what to fix and how to fix it.
LinearB is strong for teams that want to:
If your main goal is better engineering workflow optimization, delivery control, and automation inside the software delivery lifecycle, LinearB is a strong option.
LinearB provides strong visibility into engineering workflows, metrics, and delivery performance—and teams value that.
Reliable, data-driven understanding of how our engineering teams actually operate.
Able to see various different types of statistics as granular as possible.
Teams appreciate how easily they can access metrics across tools like Jira and Git, and use them to track performance and improvement.
At the same time, users highlight a few recurring challenges:
You have to get buy-in from top to bottom… to avoid it becoming management-by-statistics.
Some metrics require training for teams to understand and drive them consistently.
LinearB gives teams strong visibility into engineering metrics and workflows. But aligning teams around those metrics—and translating them into simple, system-level actions—often requires additional effort.
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
LinearB shows how engineering workflows perform. Network Perspective shows what shapes delivery across the system—and what to fix next.
LinearB improves workflows. Network Perspective helps you fix what shapes them.
Remove friction. Protect focus. Measure flow.
Most tools show outputs. Network Perspective connects the system behind them.
Operate and improve your system across:
From feedback → to root causes → to action
LinearB improves developer productivity within workflows. Network Perspective makes it clear what breaks delivery—and what to fix.
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
LinearB measures focus within workflows. Network Perspective shows how time and collaboration actually shape work.
From delivery metrics → to system-level improvement
LinearB optimizes delivery workflows. Network Perspective explains why delivery slows—and how to fix it.
AI-first teams generate more signals and complexity (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.
AI-first teams don’t stop at dashboards—they think, test, and decide continuously.
Network Perspective:
From optimizing workflows → to fixing the system behind them.
LinearB integrates with engineering tools and bases its platform on development activity, workflow context, and engineering telemetry. Its value comes from real-time visibility and workflow control inside the SDLC.
Network Perspective is designed differently. It works on team-level visibility, with hashed identities and no personal tracking built into the product model.
The system is measured—not the individual.
That 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.
Trust drives adoption. Adoption drives action. Action drives improvement.
LinearB helps optimize engineering workflows. Network Perspective helps you fix what shapes delivery.
If you only optimize workflows, you improve the pipeline. If you measure the inputs behind delivery, you improve the system.
Go deeper into how engineering systems actually work
Backed by research across engineering teams and organizations
What is a LinearB alternative?
A LinearB alternative is a platform that helps engineering teams improve delivery performance and developer productivity, often by going beyond workflow metrics to analyze what shapes how work actually happens across teams, time, and collaboration.
How is Network Perspective different from LinearB?
LinearB focuses on optimizing engineering workflows—especially pull requests, delivery pipelines, and productivity metrics.
Network Perspective focuses on what shapes those workflows—friction, focus, and collaboration—and makes it clear what to fix and how to fix it.
What does LinearB do well?
LinearB is strong for:
Does LinearB measure focus time?
Yes. LinearB includes focus and efficiency signals as part of its developer productivity model.
However, these signals are primarily derived from engineering activity and workflow data, rather than direct measurement of meetings, interruptions, or calendar-based time allocation.
How does Network Perspective measure focus differently?
Network Perspective measures focus directly using collaboration and calendar data, including:
This gives a more complete view of how time is actually spent.
What does Network Perspective add beyond LinearB?
Network Perspective adds visibility into:
It connects these signals with developer experience and delivery metrics to explain why work slows down and what to fix.
Does LinearB help teams take action on insights?
Yes. LinearB helps teams act through:
Network Perspective complements this by making it clear what to fix across the broader system—not just within workflows.
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 workflows.
Does LinearB use user-level data?
LinearB integrates with engineering tools (such as Git and Jira), which typically include user-level activity (e.g. commits, pull requests). This data is used to generate insights about workflows and performance.
How does Network Perspective approach DevEx surveys differently?
Network Perspective separates surveys into two layers:
This helps teams move from tracking sentiment to identifying root causes and taking action.
How does Network Perspective handle privacy differently?
Network Perspective is designed with privacy by default:
This builds trust, increases adoption, and leads to more open discussion and action.
Can Network Perspective replace LinearB?
Network Perspective can replace or complement LinearB, depending on your needs.
Some organizations use LinearB for workflow optimization and Network Perspective for system-level insights across collaboration, focus, and delivery.
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: LinearB or Network Perspective?
LinearB is a strong choice for teams focused on:
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 →
