Network Perspective vs Jellyfish

Measure what shapes delivery.
Fix what slows it down.

Jellyfish helps leaders measure and manage engineering performance.

Network Perspective measures what shapes delivery—and makes clear what to fix and how to fix it.

At a glance

Two platforms. Different starting points.

You’re not missing data. You’re missing the inputs that shape delivery.

Jellyfish brings together engineering-stack data for productivity, delivery, and business impact. Network Perspective adds collaboration data and deep-work insights to show where friction builds, where focus gets lost, and how work actually flows across teams.

Jellyfish gives you visibility and alignment. Network Perspective gives you leverage.

Network Perspective and Jellyfish capability comparison
What mattersJellyfishNetwork Perspective
Core jobMeasure and manage engineering performanceMeasure inputs + how to fix delivery
Primary modelData from dev tools + business alignmentFeedback + collaboration + delivery
FocusOutputs (productivity, investment, delivery)Inputs (friction, focus, collaboration)
DevExCombine metrics with sentiment and business contextDiagnose what breaks delivery
Work patternsDerived from tool activity and time allocationDirect view of time, collaboration, interruptions
DeliveryTrack DORA, performance, investment impactExplain why delivery slows and where to act
Action modelInsights for planning and management decisionsRoot causes → actions
Adoption modelLeadership dashboards and reportingEmbedded in team workflows
Privacy modelUses data from tools (often user-level activity)Team-level, identities hashed, no personal tracking
Jellyfish capability comparison
What mattersJellyfish
Core jobMeasure and manage engineering performance
Primary modelData from dev tools + business alignment
FocusOutputs (productivity, investment, delivery)
DevExCombine metrics with sentiment and business context
Work patternsDerived from tool activity and time allocation
DeliveryTrack DORA, performance, investment impact
Action modelInsights for planning and management decisions
Adoption modelLeadership dashboards and reporting
Privacy modelUses data from tools (often user-level activity)
Network Perspective capability comparison
What mattersNetwork Perspective
Core jobMeasure inputs + how to fix delivery
Primary modelFeedback + collaboration + delivery
FocusInputs (friction, focus, collaboration)
DevExDiagnose what breaks delivery
Work patternsDirect view of time, collaboration, interruptions
DeliveryExplain why delivery slows and where to act
Action modelRoot causes → actions
Adoption modelEmbedded in team workflows
Privacy modelTeam-level, identities hashed, no personal tracking

Jellyfish measures engineering performance. Network Perspective helps you fix what shapes it.

29 factors

shaping how engineers work, collaborate, and deliver

250+ leaders

sharing what’s working and what’s blocking

5 dimensions

of DevEx driving excellence and outcomes

The practical difference

What each platform brings

Jellyfish

For engineering management, business alignment, and investment visibility.

  • Connect engineering work to business goals and investments
  • Track productivity, delivery, and resource allocation
  • Unify data across Git, Jira, CI/CD, and AI tools
  • Measure the impact of engineering work and AI adoption
  • Support strategic planning and reporting

Helps us track key metrics like cycle time, throughput, and sprint velocity in one place

A verified Jellyfish review on G2
More Jellyfish customer quotes

Clear visibility into engineering performance and progress

Software, Mid-market

The toolset is complex… it can be daunting to figure out how to use it effectively

A verified Jellyfish review on Gartner Peer Insights

Interpreting some of the more advanced metrics still requires manual context-setting

A verified Jellyfish review on Gartner Peer Insights

Network Perspective

For understanding delivery bottlenecks and turning signals into team-level action.

  • Diagnose what breaks delivery beyond code workflows
  • Measure how time, interruptions, and collaboration shape outcomes
  • Spot overload, silos, and hidden bottlenecks
  • Connect friction, focus, and flow in one system
  • Turn insights into team-level actions—not just measurement

Much more actionable than other products we considered

Head, Information Technology, Mid-marketA verified Network Perspective review on Capterra
More Network Perspective customer quotes

The application presents information on less obvious aspects of team activity and collaboration between teams.

Manager, E-commerce, Mid-marketA verified Network Perspective review on Capterra

People start to become intentional about changing aspects of their working environment… and then they start to act.

Head, Information Technology, Mid-marketA verified Network Perspective review on Capterra

Friction · Focus · Flow

Three signals. One system view.

Remove friction. Protect focus. Measure flow.

speed_2

Friction — Fix what slows work down

Most delivery problems don’t start in code—they start in broken priorities, processes, and hidden blockers.
  • DevEx diagnostics (pulse + deep dive)
  • AI analysis of feedback and system data
  • Benchmarks connected to root causes
From feedback → to root-cause diagnosis → to actions: powered by Developer Perspective
target

Focus — Protect time and attention

Time is your most constrained resource—and most teams don’t know where it actually goes.
  • Deep work vs. meetings (calendar heatmaps)
  • Interruptions and context switching
  • Collaboration shaping attention
From time signals → to better ways of working: powered by Organization Perspective
airwave

Flow — Improve how work moves

Shipping faster doesn’t fix delivery—how work flows across teams does.
  • DORA metrics across teams
  • Collaboration networks (silos, overload, dependencies)
  • System-level bottlenecks
From delivery metrics → to system-level improvement: powered by Delivery Perspective

Why this matters: When AI makes coding faster, delivery often slows down.

A closer look

Explore the capabilities

Compare developer experience, collaboration, and delivery in more detail.

Developer Perspective

From feedback to root causes and action

Jellyfish

  • Combines engineering data with business and planning context
  • Tracks productivity, allocation, and investment across teams
  • Provides visibility into how engineering work aligns with business goals
  • May include sentiment or survey inputs alongside system metrics

Network Perspective

Jellyfish shows how engineering performs and aligns with the business. Network Perspective makes it clear what breaks delivery—and what to fix.

Organization Perspective

Where time and attention are lost

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

Jellyfish

  • Derives activity and collaboration patterns from engineering tools
  • Provides visibility into work allocation and activity trends
  • Limited direct visibility into meetings, collaboration, context switching, and deep work

Network Perspective

  • Maps collaboration across teams (not just in code)
  • Measures deep work, meetings, and interruptions
  • Shows who teams collaborate with (silos vs. overload)
  • Surfaces patterns like 1:1 connections and network diversity
  • Highlights where attention is fragmented
  • Suggests actions to reduce meetings and protect focus

Jellyfish shows how work is distributed. Network Perspective shows how work actually happens across people and time.

Delivery Perspective

From delivery metrics to system-level improvement

Jellyfish

  • Tracks delivery performance including DORA, throughput, and investment impact
  • Connects engineering output to business outcomes
  • Supports planning and forecasting

Network Perspective

  • Tracks DORA across teams and systems
  • Compares performance across teams
  • Connects delivery metrics to collaboration patterns, context switching, and team-level friction
  • Surfaces cross-team bottlenecks and dependencies
  • Open API for integration into your data stack

Jellyfish tracks delivery performance and business impact. Network Perspective explains why it slows down—and how to fix it.

Compare the approach: seven key differences

JellyfishNetwork Perspective

Fix what drives outcomes—not just what shows up in metrics

Performance and investment measurementInput-driven, root-cause diagnostics

Turn signals into actions—not dashboards

Insights for planning and decision-makingActions for teams, DevOps, leadership

Make collaboration visible—it’s how work actually flows

Collaboration inferred from tool activityMaps system-wide collaboration

Protect time—it’s your key constraint

Time inferred from task and activity dataDirect measurement of focus

Build trust with privacy by design

Uses data from developer tools and activityTeam-level, no personal tracking

Simplify signals so teams can act

Metrics tied to workflows and business reportingFriction / focus / flow reflect day-to-day experience

Support decisions—not just reporting

Reporting, planning, and business alignmentPrioritization + action

Extend insights beyond the platform

Extend insights beyond the platform

Built for AI-first engineering teams: explore signals, test assumptions, and connect insights to your decisions.

AI-first teams generate more signals and complexity, run faster feedback loops, and rely on LLMs to support decisions. (AI coding shift: why engineering leaders must manage comprehension debt).

It’s no longer enough to publish dashboards and periodic reports. Teams need to:
Jellyfish connects engineering work, delivery, and investment to business priorities.

‍Network Perspective helps you fix what shapes delivery across Developer Perspective, Organization Perspective, and Delivery Perspective by turning signals into something teams can explore, test, and act on.

Extend insights into your existing decision workflows:

LLM-ready workflows:export results as clean .md files and explore them with your own LLM to add strategic context, stress-test assumptions, identify leverage points, surface systemic risks, and explore trade-offs and second-order effects
Structured exports:clean, well-organized data ready for further analysis, iteration, and direct connection to decisions, investments, and your existing workflows

Open API:connect engineering signals with data on user impact, team retention, cost and efficiency, and product priorities

From dashboards → to continuous thinking and decision-making

Team adoption

Make insights part of how teams work

Intuitive signals, shared problems, and a clear path from insight to action.

Signals teams recognize

Jellyfish brings engineering data together to show productivity, delivery, resource allocation, and business impact.  

Network Perspective uses signals teams recognize immediately:

Friction
Focus
Flow

Signals that reflect how work actually feels—not just how much code is produced.

A clearer path to action

Jellyfish helps leaders understand engineering performance, delivery, and investment through dashboards and reports.

Network Perspective surfaces:

Where work slows down
What causes it
What to fix

From insight → to action without translation.

Improve the system together

Jellyfish connects engineering activity across tools to management, planning, and business alignment.

Network Perspective focuses on the system behind delivery:

Collaboration across teams
Time, meetings, and interruptions
Shared bottlenecks

Problems are solved at the system level—not pushed to individuals.

Build continuous action loops

Jellyfish provides dashboards and reports to guide planning, investment, and delivery decisions.

Network Perspective turns insights into continuous team-level loops:

Embedded in retrospectives
Integrated into workflows
Aligned with how engineers actually work

Not just visibility—continuous improvement.

Best fit

Which approach fits your team?

Start with the questions you need to answer.

Choose Jellyfish if

  • You want visibility into engineering performance and investment
  • You need alignment between engineering and business
  • You focus on reporting, planning, and resource allocation

Choose Network Perspective if

  • You want to fix what slows delivery
  • You want to measure collaboration and focus
  • You want teams to act on insights
  • You want a privacy-first model

Jellyfish measures engineering performance. Network Perspective helps you fix what shapes it.

FAQ

Questions about the comparison

What is a Jellyfish alternative?

Network Perspective is a Jellyfish alternative that helps engineering teams improve delivery performance and productivity by going beyond reporting and business alignment to analyze what shapes how work happens across teams, time, and collaboration.

How is Network Perspective different from Jellyfish?

Jellyfish focuses on measuring engineering performance and aligning it with business goals.

Network Perspective focuses on what shapes that performance—friction, focus, and collaboration—and makes it clear what to fix and how to fix it.

What does Jellyfish do well?

Jellyfish is strong for:

  • Connecting engineering work to business outcomes
  • Tracking productivity, delivery, and resource allocation
  • Supporting planning, forecasting, and reporting
  • Giving leaders visibility into engineering investment
Does Jellyfish use user-level data?

Jellyfish integrates data from engineering tools such as Git, Jira, and CI/CD systems, which typically includes user-level activity. This data is aggregated into dashboards and reports for analysis.

How does Network Perspective analyze collaboration?

Network Perspective maps collaboration as a network across teams, showing:

  • Dependencies and handoffs
  • Overload and bottlenecks
  • Silos and weak connections

This reveals how work actually flows across the organization—not just within code workflows.

What does Network Perspective add beyond Jellyfish?

Network Perspective adds visibility into:

  • Collaboration patterns across teams
  • Deep work, meetings, and interruptions
  • System-level bottlenecks behind delivery

It connects these signals with developer experience and delivery metrics to explain why work slows down and what to fix.

How does Network Perspective measure focus and deep work?

Network Perspective uses collaboration data (such as calendars and communication patterns) to measure:

  • Deep work vs. meetings
  • Interruptions and context switching
  • How attention is distributed across teams

This helps teams protect focus and improve how time is used.

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:

  • Team-level visibility
  • Hashed identities (keys for hashing in your key vault)
  • No personal tracking

This makes teams more comfortable with the data, which increases adoption and leads to more open discussion and action.

Can Network Perspective replace Jellyfish?

Network Perspective can replace or complement Jellyfish, depending on your needs.

Some organizations use Jellyfish for business alignment and reporting, and Network Perspective for system-level analysis and improvement across collaboration, focus, and delivery.

Which tool is better: Jellyfish or Network Perspective?

Jellyfish is a strong choice for organizations focused on:

  • Engineering management and reporting
  • Business alignment and investment tracking

Network Perspective is better suited for teams that want to:

  • Measure what shapes delivery
  • Diagnose root causes of slowdowns
  • Understand collaboration and focus
  • Turn insights into actions across teams
Is Network Perspective suitable for AI-first engineering teams?

Yes. Network Perspective supports AI-first workflows by exporting results as structured .md files, enabling analysis in your own LLM tools, and helping teams explore trade-offs, risks, and system-level dynamics. This allows teams to move from static dashboards to continuous system improvement.

Start removing friction. Deliver better software—faster.

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.

The people behind Network Perspective

Meet all our associates →
Anita Zbieg

Anita Zbieg, PhD

CEO, Co-founder

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 →
Dorota Piotrowska

Dorota Piotrowska

Advisory Board – HR Digital Product Strategy

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 →
Błażej Żak

Błażej Żak, PhD

CTo, co-founder

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 →
Ania Garczyńska

Ania Garczyńska

Co-Founder

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 →