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:
" Interviews alone are not a matter of angel or devil—they are useful if used responsibly and creatively. "
Methodologies: Beyond the interview [Advancing Research Community Workshop Series]
September 4, 2024
" The obligation to dissent is not if you see something, say something, but if you see a problem or opportunity, you should do something about it. "
Getting to the “So What?”: How Management Consulting Practices Can Transform Your Approach to Research
March 26, 2024
" If you have research, truth establishes credibility; reliability and intimacy build trust. "
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
" If you want access to our testbed, you have to come through us and show your research plan. "
A Selectively Scrappy Approach to ResearchOps
November 8, 2018
