Reduce Delivery Risk With Jellyfish Scenario Planner

14 Aug 2023 · 1 min
1:29

In this product demo, the narrator introduces Jellyfish's Scenario Planner, a web‑based tool designed for engineering leaders to model and mitigate delivery risk. The Planner visualizes activity on a deliverable, showing inconsistent but upward‑trending engineering effort. Users can set a provisional target date and view a projection graph that predicts delivery timelines. The core of the tool consists of three adjustable vectors—Developers (number of engineers assigned), Average Attention (percentage of each engineer’s time devoted to the deliverable), and Deliverable Scope (remaining story points or issues). By manipulating these levers, leaders can explore how changes affect the projected delivery date. The video concludes with links to a browser‑based product tour, a feature‑launch blog, and the Jellyfish website for further exploration.

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