Research Operations
Practical support for teams that want a more structured way to learn about users, improve research workflows, and make better product decisions. I help teams build a lightweight, usable research practice that supports discovery and delivery, even without a dedicated researcher.
I am Fryderyk Pryjma, founder of CortexMine, private AI for regulated organizations. I take on a small number of selective advisory engagements like this one.
Research operations is the participant, method, and insight machinery that feeds design decisions. It sits inside design ops but has its own workflows. See Design Management.
When Research Operations support is the right next step
Research Operations is useful when teams know they need better user insight, but research still happens too rarely, too late, or without a clear process that supports real product decisions.
- Research happens irregularly or too late
- Product decisions rely on limited evidence
- Teams do not have a repeatable research workflow
- Insights are scattered, underused, or hard to revisit
- Research responsibilities are unclear
- Discovery needs stronger support, even without a dedicated researcher
What changes after the work
More consistent research practice
The team gains a clearer way to plan, run, synthesize, and reuse research in day-to-day product work.
Better product decisions
Research becomes easier to connect to discovery, prioritization, product direction, and delivery choices.
Stronger learning across the team
User insight becomes easier to share, revisit, and use in cross-functional work between design, product, and engineering.
Less ad hoc decision-making
The team moves toward a more evidence-based way of working, even without building a large formal research function.
What I help with
- Research workflow improvement
- Support for discovery and evidence-based product decisions
- Structuring how research is planned, run, and synthesized
- Better reuse and visibility of user insight
- Clarifying research-related roles and responsibilities
- Practical Research Ops support for product teams without dedicated researchers
- Connecting research more closely to product, design, analytics, and delivery
Who this is for
This service is a strong fit for:
- Product teams that want better user understanding
- Startups and growing teams without dedicated researchers
- Organizations where research is underused or inconsistent
- Teams doing product discovery without a strong research process
- Companies that still need evidence-based decisions even with limited research capacity
- Leaders who want insight to support product direction more clearly
How we can work together
Advisory support
Ongoing external support for teams that want to improve research maturity, strengthen discovery, and make user-centered decisions with more confidence.
Diagnostic and recommendations
A focused review of how research currently works in the team, what is missing, and what should be improved first.
Workshop-based engagement
Workshops to align stakeholders, improve discovery support, introduce better research habits, and make insight more usable in product work.
Project-based collaboration
Short or medium-term support for a specific Research Operations, discovery, or research enablement initiative.
How a typical engagement works
Review the current situation
I assess how the team currently learns about users, how research is used, which tools support it, and where the workflow breaks down.
Identify the biggest gaps
We define the most important issues affecting research consistency, insight flow, and the quality of product decisions.
Improve the workflow
I recommend practical changes to how research is organized, shared, interpreted, and connected to discovery and delivery.
Support adoption
Where needed, I support workshops, team alignment, and follow-through as the new research practices are introduced into real product work.
Starting point and scope
Most Research Operations engagements start with a focused consultation, workflow review, or advisory block. The exact scope depends on research maturity, team setup, and how closely research needs to support product decisions. Smaller teams often benefit from a lightweight process first, rather than a heavy research structure. A free consultation is the best first step.
Frequently asked questions
No. Research Operations can be very useful for teams without dedicated researchers, especially when product and design teams still need a better way to learn from users.
No. Smaller teams often benefit quickly from clearer research practices because they need to make decisions with limited time, limited resources, and less room for wrong assumptions.
Research Operations focuses on how research works as a team capability. The goal is not only to run research, but to improve repeatability, visibility, and decision support across the product process.
Yes. Many teams begin with a consultation, workshop, or focused review before expanding the scope.
Yes. One of the main goals of this work is to make discovery more evidence-based, more structured, and less dependent on assumptions alone.
Need a stronger research process?
If your team wants better user insight, more consistent research practices, and stronger support for product decisions, let's talk.
Research Validation That Prevented Costly HR Feature Delivery
Research helped validate product direction before delivery and showed that the planned feature was unlikely to create enough user value, which helped avoid unnecessary implementation costs.
Read case studyDesignOps Maturity Self-Assessment
Get the DesignOps Maturity Self-Assessment + occasional notes on Design Ops & Research Ops.