Project Forecasting
Are you delivering projects on time?
Hit your delivery timelines and keep stakeholders up to date on project progression with visibility into project cost, resource investment and risk insights.
Project Forecasting
Are you delivering projects on time?
Hit your delivery timelines and keep stakeholder up to date on project progression with visibility into project cost, resource investment and risk insights.
Empowering the world’s most innovative engineering leaders
Identify risks before they slow you down
Discover delivery risks
Combine project management and git data to gain visibility into the work that is delaying progress.
Manage your resources
Allocate the right level of resources that keeps your project on track while ensuring a positive developer experience.
Establish best practices
Establish data integrity best practices that safeguard against issues slipping through the cracks.
Understand the price of on time delivery
Provide business stakeholders with visibility into the cost of R&D projects, and the repercussions of shifting resources from one project to another.
Project cost
Track the cost of your projects in terms of Full-time Effort and dollar amounts to determine the ROI of your investment.
Strategic investment
Visualize the current level of investment into each project, and understand what it means to shift resources from one place to another.
“Teams often pursue productivity and efficiency at the expense of effectiveness... you cannot reproduce the same exact widget over and over again... software engineering is complex.”
Ariel Pérez
VP of Engineering, Split
How well is your team executing?
Avoid the “over promising” trap
Build a plan to deliver on time using sprint-over-sprint project data that identifies the accuracy gaps that lead to over-promising and under-delivering.
Get into the delivery details
Gain a clear understanding of your project’s growing to-do list with a delivery breakdown report that shows the dynamic between planned and unplanned work.
Fits into your stack
Our platform was built for self-service flexibility. That means you don’t have to change your ways of working, methodology or tools in order to gain insights.
