Profile
Lead Product Designer focused on complex B2B and AI systems.

I turn business rules, data-heavy workflows and technical constraints into clear, scalable products — from early concepts to measurable growth.

Based in Barcelona.
       
Email, Linkedin, Resume ↗

Education
SKVOT
Product Design Intensive
Team lead, Diia Services concept
May—Sep 2023

Volodymyr Dahl East Ukrainian
National University
MSc, Information Technology
in Management
Experience 
B2B Soft
Senior Product Designer
2025—present

UserActive
Senior Product Designer
2024—2025

Respeecher
Senior Product Designer
2024

FreySoft / MakeDeal
Lead Product Designer
2021—2023
Selected Impact
+67% signups
Landing page A/B test at UserActive

+32.3% audio generation
Core AI workflow improvements at Respeecher

85 communities adopted
Municipal platform modules at SocialBoost / DOSVIT

-13.2% onboarding time
Recruiting workflow redesign at MakeDeal
Capabilities
Complex B2B workflows
Design systems & scalable UI
AI product experiences
Data-heavy interfaces
Research synthesis
0→1 product discovery
Growth experiments
Cross-functional delivery
Side Projects
Prottest
AI-assisted tool for testing product ideas, positioning and early messaging.

Otakoi
Independent physical product experiment: bags, brand, store and direct sales.
Recognition
Featured on Behance ↗
Web Design, Branding, Illustrator

64K+ project views
2.7K+ appreciations
Contact
Open to senior / lead product design roles focused on complex B2B, AI products and workflow systems.


Email ↗

Linkedin ↗

Resume ↗
Oleksandr VartanovPortfolioBarcelona · 2026

I make complex
systems clear.


B2B & Enterprise

Roles, rules, data and operational complexity.AI Products

Clear experiences for powerful, unfamiliar technology.0→1 & Growth

From ambiguity to shipped products and measurable outcomes.

2

Respeecher · 2024  
AI voice generation
Regeneration
A recovery flow for refining
accent and pitch after a result. 
Role
Product design, UX flow,
interaction states
01 — A short onboarding moment introduces regeneration when it becomes available.
02 — Original and generated versions stay together, making voice variations easy to compare.
03 — Users adjust pitch and accent directly from the result, without returning to the catalogue.
04 — The new version starts processing in context, alongside the original result.
05 — The regenerated voice returns to the same list, labelled with its selected settings.
06 — Playback lets users review the new result and keep iterating until it feels right.

Respeecher
Regeneration flow
2024

Product design
UX flow
Interaction states
View case ↗
When a voice result was not right, users had to restart from the catalogue: find the voice again, select an accent and pitch, then generate again.
I turned that restart loop into an in-context iteration. From the result list, users can adjust accent and pitch, regenerate the same voice, compare versions and keep refining until the output feels right.
Top 2026 © Oleksandr Vartanov