IIBA Kansas City

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Where meaningful connections are made

that help people learn and grow.

ABOUT US

IIBA KC exists to foster meaningful connections that help people grow.

We are the IIBA Kansas City Chapter of the International Institute of Business Analysis. But more than that, we are a working community of professionals who think analytically, ask hard questions, and show up for each other in a city full of people doing the same

WHO BELONGS HERE

If your work involves understanding what organizations need, helping teams make better decisions, navigating change, or bridging business problems and technical solutions - you're in the right place.

Our community includes business analysts, product owners/managers, project/program managers, Agile practitioners, IT leaders, and many professionals across industries who defy easy categorization.

You don't need a specific title or a certification to belong here.

You need curiosity, a commitment to your craft, and a willingness to be in the room.

Welcome!

Rise Above Routine Moving Beyond Requirements to Business Impact

Oct 28, 2026
6:30 PM - 8:00 PM

Virtual

2026 End of Year Celebration

Nov 06, 2026
6:00 PM - 9:00 PM

Boulevard Brewing Co.

Interested in what's happening in and around the Kansas City Metro? Find conferences, hackathons, and workshops at www.techkc.org.

Same Program, Two Tranches: What Changed When I Gave My Analysis a Second Brain

I started on a large SAP global transformation program the old way and I'm now delivering it with an AI "second brain." Here's how it grew, what it does for me, and why you still can't take its word for anything.

Take the Humans Out at Your Own Peril

Across two Partner Program roundtables in late September, business analysis practitioners and leaders from four continents landed in the same place: AI is shifting where the value comes from.

Stakeholder-Informed vs. Validated: A Marketplace Case Study

Stakeholder feedback can identify genuine needs, but it doesn’t always reveal which needs will drive action. This case study explores how behavioural evidence led us to reassess acquisition priorities, feature context, and the assumptions behind our next experiment.

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