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Ethan Dias

UX Researcher

Ethan has several years of experience in gathering consumer insights across multiple industries, including technology, retail, alternative energy, automotive, and fitness. He helps clients by transforming qualitative findings into actionable recommendations to guide product development and strategy. Ethan holds a Masters in Applied Psychology from the University of Southern California and is currently pursuing a PhD in Behavioural Science at the London School of Economics.

Bold facts

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Ethan

Something unique about you summed up in one sentence:

I have been to over 25 countries!

Your favourite city in the world is...and why?

Florence. I love Italian food and Tuscany is a beautiful region, especially during the fall.

In your spare time (or if you had spare time), you would absolutely do this:

Learn another language.

Share an interesting fact:

I love to run and have completed 6 half marathons since 2020!

You cannot start the day without doing this...

Having a coffee and some sort of cinnamon pastry.

Long-term personal or professional goal:

To publish a book and complete my PhD!

Best piece of advice you’ve been given

Never stop asking yourself, how big do you want your world to be?

What fictional family would you like to join?

The Weasleys! I only have one sibling so I have always lived in a quiet house. I would love to be part of a large family with a bunch of siblings.
Read Ethan's bold insights

Read our team’s latest bold insights

Three things to improve acceptance of AI

To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.

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Recruiting methods and study logistics for human factors and user research

A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.

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