Fryderyk PryjmaI make design and user research part of how your product ships.
I run the design side of digital product delivery for founders, CTOs and product leads: user research, UX design and research-led conversion work, plus the process that connects them to engineering — roles, decision rights and workflows that survive people leaving.
CortexMine: private AI for regulated organizations
CortexMine is managed private AI for regulated industries: deployed inside the customer perimeter, on-prem or private cloud, with source-grounded answers and a full audit trail. I am founder and CEO — it is where the same delivery and knowledge problems get solved in production, not on slides.
Knowledge transfer, knowledge management, design ops and research ops for software and IT teams.
If your team designs a lot but ships unclear decisions, this is for you.
Unclear design roles and responsibilities
Design work slows down when ownership is blurry and decisions do not have clear owners.
Weak connection between design and engineering
Good ideas lose value when handoff, documentation, and delivery collaboration are inconsistent.
Research is ad hoc or underused
Teams often collect insight, but do not turn it into repeatable learning or better product decisions.
Too much design activity, not enough impact
When workflows are unclear, design output grows, but business value and decision quality do not.
Advisory for product and IT teams
Alongside CortexMine, I take on selective advisory work. I help product and IT teams turn scattered knowledge, research, and design decisions into a clear operating model, so work survives handovers, onboarding, and scale. One spine, knowledge transfer, with four specializations: knowledge transfer, knowledge management, design management, and research operations.
Knowledge Transfer for IT teams
Turn what lives in people's heads and scattered docs into a reliable handover, so projects survive people leaving, onboarding, and vendor changes.
Explore Knowledge Transfer for IT teamsKnowledge Management for IT teams
A right-sized knowledge management framework so your team stops losing time searching, and stops losing know-how when experts leave.
Explore Knowledge Management for IT teamsDesign Management
I set up how design is run, staffed and plugged into delivery, so research and design land inside the sprint instead of beside it.
Explore Design ManagementUser Research & Conversion Optimization
Interviews, usability testing and behavioural data, set up as a repeatable practice inside delivery, so decisions rest on evidence and funnel drop-offs get fixed for the right reason.
Explore User Research & Conversion OptimizationReal improvements in how teams design and decide
A few examples of how better structure, stronger research, and clearer processes can improve product work in practice.
Design Process Improvement for a Software House
A software house lacked a structured design and pre-implementation process. Design work was not well aligned with technical delivery, documentation quality was inconsistent, and teams struggled to make informed product decisions early enough.
The team gained a clearer design-to-development process, better alignment between design and engineering, and stronger documentation quality. Product decisions became easier to validate within technical and budget constraints.
Design Ops Setup for a Blockchain Development Team
A blockchain-focused development company needed a clearer design process and stronger collaboration model between product, design, and technical stakeholders. The existing way of working lacked structure and created friction in delivery.
The company gained a more structured design workflow, clearer collaboration between functions, and a stronger foundation for scaling product design work in a technically demanding environment.
Research Validation That Prevented Costly HR Feature Delivery
An HR-related company planned to build a new feature, but there was not enough evidence that users would find it valuable or use it in practice. The risk of investing in the wrong product direction was high.
The research showed that the planned feature would likely not gain enough user adoption, which helped the company avoid unnecessary implementation costs and redirect investment toward better opportunities.
Frequently asked questions
Most often with founders, CTOs, CPOs, product leaders, software houses, and product teams that want stronger design and research processes.
No. Smaller teams often benefit even more from structured workflows and clearer decision-making, especially when roles are still evolving.
No. Research Operations can help teams that do not have dedicated researchers but still need a better way to learn about users and support product discovery.
Not exactly. My role is advisory and process-focused. I help diagnose issues, improve workflows, and support better operating conditions across design, product, and engineering.
Yes. Many collaborations start with a focused consultation, audit, workshop, or short advisory engagement before moving into broader support.
Let's make how your team designs and decides clearer.
30 minutes, no strings. You will leave with two to three concrete improvements.