The Minimum Viable Avatar: Scientific Method for Customer Understanding - #SFTechWeek
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You know your product. You’re still guessing about your customer.
In the room, over ninety minutes, you write down what you believe about one customer segment. Then you check each belief against the evidence you have. That’s the gap between what you assume and what’s actually true, invisible until you’re asked to defend it.
Bring one customer segment you’re actively building for, and a laptop.
What you’ll walk away with:
- The completed MVA (Minimum Viable Avatar) Canvas for your segment, annotated example built in.
- How to tell which customer beliefs are backed by evidence, and which aren’t.
- The handful of beliefs worth testing first, and what evidence would settle them.
- How to get directional validation from a few conversations, not a research budget.
Why this matters
A canvas built on wrong assumptions makes those assumptions look official. What matters is knowing which parts of your customer picture are solid, and which you’ve never checked.
Led by Mustafa Türksavaş, founder of susam. His work focuses on the gap between what founders assume about their customers and what’s actually true.
Perfect for early-stage technical SaaS founders, pre-seed to seed, who’d rather find the gaps than keep building on assumptions. Registration is reviewed and asks for your company and role.
Stay after to talk with the other founders in the room. Most are working through the same gap.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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