A Selectively Scrappy Approach to ResearchOps
Summary
Megan Blocker will talk about how to decide where to invest your precious time and attention for maximum impact. In other words, where is it most important for your team to get serious about ResearchOps, and where is it okay to stay scrappy? How can you grow sustainably by picking and choosing your battles? It all depends on your goals, your context, and your priorities. We’ll talk about a framework for making those decisions, and about how applying it worked for our growing team.
Key Insights
-
•
Scaling research requires balancing skill levels, organizational scale, culture, and leadership buy-in.
-
•
You don't need formal research titles to do research; skills can be distributed across designers, PMs, and others.
-
•
A small research team serving a large organization can leverage apprenticeship and education models to expand impact.
-
•
Building a large, engaged user testbed quickly is possible with minimal resources and has strategic benefits.
-
•
Leadership buy-in is signaled not just by budget but by leaders seeking out research to guide decisions.
-
•
Organizational culture shapes how you implement research — entrepreneurial cultures allow quicker experiments, hierarchical ones require stakeholder management.
-
•
Developing reusable tools, templates, and playbooks helps scale quality research across a growing organization.
-
•
Scrappy grassroots efforts can lead to formalized, systematic research programs over time.
-
•
Continuous storytelling and advocacy are essential for gaining and maintaining leadership support.
-
•
Research scale and focus need continual reassessment as team size, culture, and buy-in evolve.
Notable Quotes
"I realized that dedicating my time and energy into something that wasn’t going to be used was not a good use of my time."
"Research skill and talent can be present in many different kinds of people, you don’t have to have research in your title."
"In a hierarchical culture, you ask permission; in an entrepreneurial culture, you ask forgiveness."
"We made a 250-person testbed grow to 1200 people in under a week just through one email campaign."
"If you want access to those names, you got to come through us and show your research plan, which helped us ensure quality."
"We focused on interviewing and synthesis because those methods were most likely to be employed by our product managers."
"Offers of championship from leaders, like 'What do you need from me?' are strong signs of buy-in."
"Our education program isn’t just basic info—it builds empathy and literacy across the whole product team."
"Scrappy grassroots methods never fully go away; you always need to ask where you can get scrappy next."
"Stakeholder analysis and managing stakeholders is critical in hierarchical cultures to maintain trust."
Or choose a question:
More Videos
"We want you to leave feeling like all those missed Slack messages and emails are worth it."
Bria AlexanderTheme Two Intro
October 3, 2023
"Mental health, systems of oppression, and racial justice should have been normal conversations at work all along."
Ariba JahanTeam Resiliency Through a Pandemic
January 8, 2024
"If you see a system, you cannot unsee it — systemic awareness changes how you approach design."
Cornelius RachieruHandling Complexity: Framing a Scale of Design
June 9, 2021
"Making accessibility a shared activity turns it into a team effort, involving co-workers, stakeholders, and customers."
Megan Clegg Michael Haggerty-Villa Alexis MorinSpace for Everyone: Reframing Accessibility Through a Wider Lens
June 10, 2021
"When we don’t have the people modeling we need, we have to make it ourselves to lift the fog."
Saara Kamppari-MillerCartography for Design Communities
September 10, 2025
"Openly sharing stories helps us learn from those who came before us and carve new paths."
Kara KaneTheme One Intro
November 16, 2022
"How do we become facilitators who can encourage and model true power sharing? That’s the big question."
Natalia RadywylCo-Designing New Power in Australia's Public Sector
November 16, 2022
"If you put garbage in, garbage comes out – AI reflects the biases in its training data."
Nancy DouyonWe'll Figure That Out in the Next Launch: Enterprise Tech's Nobility Complex
June 15, 2018
"Co-creation between users and technology determines if this AI evolves to be useful or harmful."
Peter Van DijckBuilding the Rosenbot
June 4, 2024