Jellyfish Engineering Metrics Benchmarks | Demo

18 May 2022 · 2 min
1:39

In this product demo, the presenter walks through Jellyfish’s data‑driven engineering benchmarks available in the Measurements workspace of the Jellyfish engineering management platform. The demo highlights that benchmarks exist for nearly every tracked metric and shows how users can view percentile performance visualizations. Selecting a metric reveals a supplementary bar‑chart card that lets teams compare their performance against internal and external medians as well as industry averages. The presenter explains the distinction between internal median (derived from the organization’s own data) and external median (derived from Jellyfish’s broader customer base). A dropdown provides industry‑wide contextual insights at the organization, division, group, and team levels. The core “Allocation” metric is also benchmarked, allowing teams to see how they allocate resources across work categories such as Growth, Infrastructure, and Support compared with peers. The demo concludes with pointers to additional resources—a video explainer, a blog post, and the Jellyfish website—for deeper learning.

Chapters

More from Pamela

youtube.com

Key insights from the 2026 State of Engineering Management Report

5mo ago
youtube.com

Key insights from the 2026 State of Engineering Management Report

5mo ago
youtube.com

Reactions to the 2026 State of Engineering Management Report findings

5mo ago
youtube.com

How has AI changed the structure of your team?

5mo ago
youtube.com

68% say AI enhances efficiency. But only 10% report strong AI enablement. More trends on May 7.

5mo ago
youtube.com

68% say AI enhances efficiency. But only 10% report strong AI enablement. More trends on May 7.

5mo ago
youtube.com

AI flags expensive AWS instances - CodeRabbit's Sahil Bansal shares example

5mo ago
youtube.com

AI written code has 40% more bugs - CodeRabbit analysis

5mo ago
youtube.com

Why AI shouldn't self-grade code - CodeRabbit's Sahil Bansal weighs in

5mo ago
youtube.com

Introducing Jellyfish Data Hub: Flexible, Curated Engineering Insights

5mo ago
youtube.com

What is the biggest mistake companies are making right now with AI adoption?

5mo ago
See all content