I'm leading User Research on $1B+ product areas at Google and YouTube. I've held advisory board positions for Series A & B startups, taught user research at the University of Oxford and run a popular user research newsletter at userweekly.com. I offer a free mentoring and advisory (first come, first serve) in two areas: 1) career mentoring to User (Experience) Researchers in their first 5 years of their career; 2) advice to startup founders and product leaders on how to build a successful insights practice to achieve PMF and scale faster. More about myself and my mindset: What I believe sets humans effectively apart from other species is our ability to craft tools. Society’s greatest innovations, including the controlled use of fire, the wheel and the printing press were created by individuals who understood the nature and shortcomings of existing practices and translated them into useful tools. My passion for technology comes from the consideration of what makes technology useful, usable, and desirable. In my role of a UX Researcher, I am an expert at making user observations actionable. I systematically reduce uncertainty in product management through qualitative and quantitative user research and iterative prototyping. Using explorative and evaluative methods, from ethnography to usability, survey measurement to experimental design and log data analysis, I seek to better understand and improve how people interact and engage via and with technology. Mentorship has played and continues to play an important role in my career development. I want to give back and offer mentorship to product leaders and early UX Researchers. Please add me on LinkedIn so I can better prepare for our call.

My Mentoring Topics

• [Career] Entering UX Research
• [Career] Developing UX Research skills
• [Career] Career and job application guidance
• [Career] Soft skills for researchers
• [Career] Research methods (qual & quant)
• [Startups] Achieving product-market fit
• [Startups] Collecting data to help fundraising
• [Startups] Finding the right user problems and opportunities to work on
• [Startups] Defining success metrics and targets
• [Startups] Using data to pivoting & fail quickly
• [Startups] Setting up a beta tester program