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Beyond Coding: AI in the Rest of the Agile Software Lifecycle
George PaciOct. 26
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Operating Models Revealed
Stephanie GrootOct. 26
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Responsible AI: Leading the Shift to AI-Native Organizations
Sanjiv AugustineOct. 26
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Business Value Estimation
Chris SimsOct. 26
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Bridging the "Blind Spot Gap" in AI-Generated Agile Backlogs
Manjit SinghOct. 26
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Responsible AI in Action for Agile Teams
Dr. Kadidra HurstOct. 26
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Lunch
Oct. 26
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Retrospectives That Drive Real Continuous Improvement
Richard ChengOct. 26
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So you think this is your last Agile Conference... let's talk
David FogelOct. 26
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The Product Operating Model Walks Into a Sprint
Fadi StephanOct. 26
Kimberly Andrikaitis is a transformational coach, trainer, and organizational advisor with over 25 years of experience leading delivery across software development, financial services, aerospace, and manufacturing. She's the author of Look Up! Solve What Matters (Business Expert Press, 2026), and is trained in Co-Active coaching through the Co-Active Training Institute. Kimberly specializes in helping project managers and delivery professionals get curious about organizational dysfunction instead of blaming teams for systemic problems. She currently provides delivery consulting and training services, helping organizations identify and eliminate the waste that's quietly blocking success.
The project is stuck. Teams are incredibly busy but not delivering. The stakeholders are quickly losing faith. You find yourself under the microscope. You think you know what's wrong - maybe the team needs more training, better tools, or tightened processes. So you roll up your sleeves and immediately jump in to fix it.
But wait. Slow down.
What if you're solving the wrong problem?
I once spent weeks developing an extensive training program to fix what I thought was a skill gap. Before fully building and launching it, I used a simple Problem Identification Worksheet that revealed I'd been solving the wrong thing entirely. (Ouch.) That pause - and eventual pivot - saved me many more months of wasted effort.
In this talk, I'll hand you the same seven-question worksheet that caught me mid-build, before I could finish solving the wrong problem. You'll learn how to tell the difference between what you think is wrong and what's actually wrong, and how to design small experiments that reveal the real root cause.
Because the fix that doesn't work is more embarrassing (and expensive!) than the pause that finds the right one.