Leo brown

Leo brown

Financial Planning and Analysis
#101311263 followers11 following
#2,409Last month
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About

I am a graduating Economics and Environmental Science double major at UC Santa Barbara with a unique blend of experiences meeting at the intersection of finance, sustainability, and AI. I have recently returned from overseas where I was studying abroad in Berlin, Germany, and interning at YUKKA Lab, a Berlin-based AI financial intelligence startup. I worked directly with the CEO to build investment signal taxonomies, benchmark ESG controversy scoring against industry leaders like RepRisk and MSCI, created onboarding decks for new clientele, and supported AI-driven risk monitoring for both institutional and private investor.

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Forums

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3d ago

How do you test if a process has too many edge cases before you automate it?

We built an automated script to handle a tedious weekly task and thought we saved a ton of hours.

Instead tiny bugs started slipping through without any alerts.

Now the whole team has to go back and double-check every single piece of output by hand just to be safe.

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5d ago

How do you balance a clean UI with making sure buttons are actually easy to understand?

I tried removing all text from our dashboard because we wanted that modern clutter free look.

But during user testing most people hovered over the same icon for ages or clicked the wrong thing entirely.

Adding just two words under each button completely fixed the problem and everyone breezed through the next test.

It made me realize how often we design for aesthetic screenshots instead of what users actually need. Have you run into this with your own apps?

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5d ago

Do users open fewer support tickets when you focus on action results instead of UI guidance?

Spent a month adding tooltips and progress bars to smooth out our onboarding but support messages actually went up.

Turns out people weren't confused about where to click. They were just scared of accidentally sending emails or deleting client data without knowing what would happen next.

Once we changed the UI text to clearly explain the final result of each button click support requests dropped by half.

Has anyone else noticed that reassuring users about outcomes matters more than guiding their clicks?

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