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 21, 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.

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.

Your AI Can't Fix a Process You Haven't Looked At

On this episode of Business Analysis Live, Oge Nwachukwu explains why AI applied to a broken process just makes the brokenness happen faster.

AI-Assisted Prototyping: Turning Requirements Into Interaction

Comprehensive requirements documentation doesn't automatically create shared understanding. When stakeholders can interact with a working representation of the proposed solution while requirements are still being shaped, ambiguity surfaces earlier (and cheaper).

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