The function call returns before the world has changed
If you ignore the physics when calling a function during development, you won't discover errors until integration.
From Mercedes to NIO: What Defines Modern Engineering Toolchains
Dr. Yousef Hooshmand has worked in both the German and Chinese automotive sectors and shares his perspective.
Hendrik Dahmke: Product Velocity Requires a Shared Understanding
In this guest post, Hendrik Dahmke examines Product Velocity from the perspective of a systems engineer.
The Phoenix Project in Orbit: Kessler Seven
„Kessler Seven“ is a science fiction story that tells how Product Velocity saves ten thousand lives.
Why Functional Chains Are Not Capability Threads
Drawing on Robin Yeman’s keynote address at the MBSE Summit, this article explains capability threads and how integration bottlenecks arise despite MBSE.
Germany doesn't have a housing problem. Germany has a flow problem.
Product Velocity can also be applied to topics outside of product development, such as housing in Germany.
Not the engineers: when the process model becomes a bottleneck
It's not the engineers who make the difference between slow and fast companies—the process model is the bottleneck!
Four perspectives on ontologies between SysML, AI, and philosophy
Four lectures showcased ontologies as a connection between SE, knowledge graphs, AI, and philosophical questions of meaning and existence.
When Complexity Tips: Tim Weilkiens on the Digital Storm in Engineering
Tim Weilkiens describes the situation in engineering, with the explosion of complexity and other areas, as a perfect storm.
Find the problem before you solve it: The Product Velocity Anti-Pattern Finder
The Anti-Pattern Finder allows users to identify a Product Velocity problem in two minutes.
The Mathematics of Product Velocity: Why Speed is a Matter of Uncertainty
The theory behind Product Velocity can be expressed with mathematics and optimizes the reduction of uncertainty with four variables.
First, we need the problem, not the solution.
Problems must be understood before solutions to avoid unnecessary complexity and find the optimal solution.
