Megan Blocker
Director of User Research, DigitalOcean
Megan founded McKinsey’s design research & insights practice, establishing and growing a team of one to more than 50 researchers, data analysts, and data scientists globally. As part of that transformation, she built the design research talent architecture and established McKinsey’s design research philosophy, operations, and tooling. In addition, Megan is deeply passionate about equity and inclusion. She co-founded McKinsey’s Women in Tech initiative and was a member of the DE&I global leadership team.
In her work as a researcher, Megan combines empathy with data to achieve deep understanding, craft inspirational vision, and deliver actionable insight. As a leader, she makes sense of ambiguity and thrives when building and leading teams where trust, transparency, and clarity of vision encourage risk-taking, innovation, and creativity. Most of all, she loves building something new and scrappy, then strategically operationalizing it for scale. She invests in people, Post-Its, insights, and LEGOs.
Rosenverse talks by Megan:
" You don’t need to be an expert in every methodology but should know when to use them and find experts when needed. "
Methodologies: Beyond the interview [Advancing Research Community Workshop Series]
September 4, 2024
" Building social capital by regularly sharing your research beyond your team will amplify your work with little additional investment. "
Getting to the “So What?”: How Management Consulting Practices Can Transform Your Approach to Research
March 26, 2024
" You can be an amazing researcher and have zero impact, or be a bad researcher and have amazing impact. "
Panel: Excellence in Impact
March 25, 2024
" Teams should self-assess their data fluency in collaborative ways, focusing on strengths and growth areas. "
What UX research maturity looks like and how we get there [Advancing Research Community Workshop Series] (Videoconference)
November 9, 2023
" Leadership buy-in shows when leaders ask what they can do to support your work. "
A Selectively Scrappy Approach to ResearchOps
November 8, 2018