
Let’s be honest — delivery estimates are usually wrong. Story points, sizing sessions, and best-guess timelines often leave teams and stakeholders frustrated when reality doesn’t match the plan.
The good news? If your team has been working in Jira for a while, you’re already sitting on the data you need to make better projections. The challenge isn’t collecting more estimates — it’s learning how to use historical delivery data in a way that actually helps you forecast.
In this 30-minute session, we’ll explore how teams can move away from guesswork and toward data-driven delivery projections using a few simple Jira plug-ins. You’ll see how to turn past performance into realistic forecasts that improve conversations with leadership, reduce planning stress, and build confidence in delivery timelines.
We’ll cover:
Why traditional estimation methods often miss the mark
How historical Jira data can reveal real delivery patterns
The key metrics that make forecasting useful (without adding process overhead)
Jira plug-ins that make visualization and forecasting quick and approachable
Practical ways to start using this immediately with your current workflow
Whether you’re a Jira admin, Scrum Master, delivery lead, or just tired of the “when will this be done?” guessing game — this session will give you practical ideas you can try right away.
Bring your questions, your skepticism, and your real-world scenarios — this is meant to be interactive and grounded in how teams actually work.
AI Transformation Coach | Agile-to-AI Strategist | Human-AI Collaboration Leader