Planning & Delivery

Confidence in Every Commit

Gain the foresight to predict and prevent delivery risks through connected intelligence that keeps every project on track.

Jellyfish Planning and Delivery
Jellyfish Planning and Delivery

Plan With Precision

Use current capacity and historical performance to build plans your teams can actually deliver.

Predict Delivery Risks

Stay ahead of delivery drift with intelligent projections that flag issues before they escalate.

Adapt Without Disruption

Simulate scope and staffing changes to rebalance quickly and keep priority projects on track.

“We use Jellyfish heavily for delivery analytics. Capacity Planner looks freakishly close to our spreadsheet, so it feels familiar.”

John Riewerts

VPE at Acoustic

“Jellyfish allows us to track initiatives, notice trends, and shift accordingly. We can diagnose problems and spot them early on before they become emergencies.”

Devin Serink

Director of Software Engineering at Jobber

“We want to ensure that we’re delivering on our plans and honoring roadmap commitments. Jellyfish allows us to efficiently show progress on initiatives.”

Kristen Maquire

Kristen Maguire

Director of Program Management at Skillsoft

The Platform for Predictable Delivery

Plan What’s Actually Possible

See All Deliverables in One View

Anticipate Delays Automatically

Jellyfish delivery alerts

Proactively Manage Delivery Risk

Custom alerts span the full delivery pipeline to flag stalled work, shifting scope, and blockers in time to respond.

Built for Teams Driving Reliable Delivery

Engineering Leaders

Get full visibility into delivery health to manage risk, keep teams aligned, and confidently deliver on commitments.
Flag on top of a mountain

Engineering Managers

Create achievable plans, visualize progress, and respond to changing priorities without burning out your teams.

Product

Connect roadmap priorities to execution reality so you can set accurate timelines and deliver what matters most.

PMO & Eng Ops

Simulate scope and resource trade-offs to keep cross-functional initiatives aligned and on schedule.
Integrations

Keep Your Systems, Gain Visibility

Jellyfish connects to Jira, ADO Boards, and Linear to give you unified planning and delivery insights with zero disruption.

Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie

Company Size

2,500

Industry

SaaS

22% increase in sprint predictability
32 hours saved per month on reporting

“I was struggling to demonstrate team efficiency. Our choice in choosing Jellyfish to be the data system to enforce the changes we wanted to make has been a huge benefit to Precisely. We are now the most predictable business unit at Precisely. Every conversation I have involves Jellyfish.”

Ulf Viney

Ulf Viney

SVP Engineering at Precisely

Resources

Plan and Deliver Smarter

Explore resources designed to help engineering leaders improve predictability and delivery performance.

Capacity Planning Best Practices
blog

Capacity Planning in Practice

Learn how real teams use data to forecast capacity, reduce risk, and meet delivery goals.
research

Delivery Predictability Model

How Jellyfish built a scoring model that predicts delivery timelines with accuracy.
research

2025 State of Engineering Management

Insights from 450+ engineering leaders on AI adoption, delivery challenges, and organizational priorities.

Frequently Asked Questions