Your Toughest Data Questions Answered: Live Session on Causality & Data Quality.

For the past two months, we've gone deep. We've talked Causal DAGs, RCTs, SUTVA, and the failures of strategy that lead to "dashboard graveyards."

But theory is the easy part. The hard part is applying it to the messy reality of your own business, with its dirty data, political hurdles, and legacy systems.

I know that after reading these posts, a nagging question often remains: "This is great, but how does it apply to myspecific problem?"

This is where the real learning happens. It’s time to move from my frameworks to your challenges.

This week, I’m opening the floor for a second live Q&A session.

I want you to bring me your toughest, most specific questions on the topics we've covered: causality, experimental design, and data quality. No question is off-limits.

To get you thinking, here are the kinds of challenges I love to sink my teeth into:

• "We know we have a collider bias problem in our marketing data, but for business reasons, we have to filter on that variable. What are our options for mitigating the bias?"

• "How do you make the business case for a multi-quarter data quality initiative that doesn't have a clear, immediate ROI? How do you sell 'fixing the plumbing' to the C-suite?"

• "My company can't run a perfect, large-scale RCT for our new product launch. What is the 'next best' causal inference method we should use to get a directionally correct answer?"

Now, it's your turn.

Subscribe to our newsletter in the footer below and receive the link for our Ask-Me-Anything session. If you already are a member of the community, check the link you received and join us on October, 18th, 10a.m. PST / 1p.m. EST. I will answer the questions from the first 20 people to join our live session this week.

My career, from building my own company to leading growth at firms like Ambev and FALCONI, has been about solving exactly these kinds of problems—where the textbook answer isn't enough. My mission is to share that experience because this knowledge isn't mine to keep.

Let's make this a collective, high-level problem-solving session.

If you’re ready to bridge the gap from theory to impact and want to join a community of practitioners committed to getting this right, subscribe to my email list.

And if your question is too specific or sensitive to share publicly, book a 20-minute, no-nonsense consultation with me. Let’s tackle it one-on-one.

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