Montreal, QC, CA
viletdesign@gmail.com
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product framing

customer & market intelligence

ai-native design system

"Augmenting Human Intellect: A Conceptual Framework" 1970

 

By augmenting human intellect, we mean increasing the capability of a man to approach a complex problem situation, gain comprehension to suit his particular needs, and derive solutions to problems. The goal is not efficiency alone, but increased capability in dealing with complexity itself.

Much of the intellectual effort of society is spent in dealing with increasingly complex problems. The rate at which complexity grows appears to exceed our natural ability to cope with it. If we are to survive and prosper, we must find ways to increase our capability to deal with complexity.

"Computing Machinery and Intelligence" Mind journal, 1950
Alan Turing

 

A personal computer should be a medium for expression, not merely a device for computation. The real power of a computer lies in its ability to simulate any system, allowing users to explore ideas, models, and worlds that would otherwise remain abstract.

In this sense, computing becomes a new kind of literacy, one that enables people to think and communicate in entirely new ways.

The effectiveness of this system depends on how well the human and machine components complement each other

We do not regard the individual as an isolated entity, but rather as part of a system in which the human and his tools form an integrated unit.

       Violetta Nekrasova  is a multidisciplinary product design and strategy leader focused on building scalable SaaS systems.
       Over 14 years, she has led complex programs across product, design, and strategy for global platforms.

archive

expertise

market intelligence & product direction

Driving product expansion through rigorous competitor analysis and market research. Across 20+ B2B projects, I help founders and teams make better product decisions by reading demand in context — turning customer input, market movement, and business goals into direction that supports long-term positioning rather than short-term backlog pressure.

product framing & decision architecture

Transforming ambiguous business goals into validated roadmaps. I lead discovery initiatives that uncover deep customer pain points, ensuring the right solutions are prioritized before heavy engineering commitments are made.

system/context/
product design

Designing products from the inside out. I build modern design foundations that do more than keep screens visually consistent — every system should support engineering speed, continuity across surfaces, and the level of structure increasingly needed for emergent product development.

domains

fintech & investment

trend monitoring and signal platforms for retail and institutional investors

big data & analytics

data management platforms (DMPs), data aggregation hubs, and segmentation/activation platforms

enterprise productivity & HRTech

ai-powered recruitment software and organizational productivity platforms

govTech & compliance

secure agenda management and voting systems for local governments and committees

the shift

User journeys
CRUD workflows
UI
what it brings?

/ product framing

  • features first
  • static workflows
  • role-based interfaces
  • manual operations

/ design

  • navigation-heavy interaction
  • screen-to-screen progression
  • dense management surfaces
  • static visibility patterns

early trend

software organized work, but humans executed everything.
the interface became the operational layer itself.
software stored the process logic, but people ran the operations.

currently at

elevatus.io

2022-present

Jordan - Saudi Arabia

Head of Product Strategy and Design

elevatus.io is a fast-growing startup whose hiring platform combines proprietary ai for automated candidate analysis and a broad range of assessments, with a modular, agentic architecture that automates the entire talent lifecycle for global enterprises. I lead product strategy and design across core systems, from ATS and candidate intelligence to sourcing, analytics, and multi-role operations.

My role is to turn complex hiring logic into clear product architecture by shaping workflows, decision models, and shared product foundations that scale across teams, surfaces, and organizational use cases.

I align roadmap, research, and delivery around retention, expansion, and long-term platform coherence, prioritizing what moves the product forward.

I also govern the system behind the interface — structured discovery and scalable design systems.

hbi design

2021-present

Product partner, R&D

hbi is a product strategy and design consultancy working with startups and growth-stage companies building complex B2B products.

I work directly with founders to define product direction, identify market opportunities, and turn early ideas into structured product paths.

The work spans product direction, system design, and modern product foundations, from decision frameworks and workflow architecture to up-to-date, ai-readable design context that supports both engineering teams and ai-assisted execution.

solutions

soon..

hire for

ai is only as good as the data it can actually see. High-end UI is no longer just an aesthetic choice — it’s a trust signal in enterprise software. That means building semantic design systems that work as a single source of truth for both human designers and ai-generative UI.

I design the context that makes your ai reliable and the scalable systems that keep your product elegant — no matter how much data is pushed through it.

You can maintain aesthetic and accessibility intentionality while ensuring the system is technically robust enough to support rapid engineering velocity without accumulating visual debt.

Product design today must account for dynamic systems, adaptive interfaces, and ai-assisted workflows. Interfaces are no longer static surfaces — they coordinate decisions between people, automation, and data.

I design products that support this shift, structuring workflows that remain understandable even as automation increases. The focus is not just usability but resilience — interfaces that evolve without breaking clarity or user trust.

New capabilities are introduced deliberately, replacing fragile manual processes with structured flows that scale.

Teams modernize workflows without losing control, and products stay clear to users while supporting faster iteration and increasing automation.

I work directly with founders and leadership teams to evaluate current processes, identify structural bottlenecks, and define practical paths forward.

This often includes rethinking how decisions are made, how work flows across teams, and how new capabilities — including ai-assisted ones — integrate into existing systems.

The focus is not experimentation for its own sake, but controlled change that improves speed, clarity, and reliability.

Teams move to modern product delivery. If your product feels harder to move forward than it should, that’s usually a structural problem, not a people problem. Let’s look at it together.

Markets are shifting faster as ai changes how products are built, adopted, and evaluated. Assumptions expire quickly, and customer requests alone are no longer a reliable roadmap.

The system needs structured feedback loops that combine direct customer input, behavioral signals, market movement, and product vision — turning requests and signals into clear direction. Not every request should become a feature.

I help teams evaluate demand through the lens of long-term positioning, system coherence, and growth potential.

Modern tooling makes signals easier to collect, but harder to interpret. My role is to turn them into strategy, priorities, and decisions that move the product forward.

Outcome? Teams stop reacting to noise. Product direction becomes clearer, priorities more defensible, and growth decisions stay aligned with where the market is going.