Iryna Fetisova

+21% onboarding conversion — structured A/B testing and iterative funnel optimisation across a multi-step signup flow +21% KYC conversion — redesigned identity verification flow based on behavioural drop-off analysis and user research +0.2pp payment conversion (5.7% → 5.9%) — simplified multi step checkout into a streamlined single-page journey −19% support ticket volume — improved system transparency and eliminated recurring UX confusion in critical flows +20% delivery efficiency — structured backlog management, prioritisation frameworks, and cross-functional alignment across 10+ initiatives Arrested churn growth — identified root causes through mixed method research (cohort analysis, behavioural data, user interviews) and delivered targeted fixes that stabilised retention Collaborated across Marketing, AML, Legal, and Support teams — ran joint initiatives, gathered requirements, aligned on solutions, and translated their domain constraints into product decisions Owned full product domains: onboarding, KYC, payments, lifecycle retention — end-to-end from discovery to post-launch optimisation Worked closely with engineering on API behaviour, system constraints, and scalable backend architecture decisions Systematically integrated AI tools into product workflows — used LLMs to structure user research synthesis, generate and refine documentation, and accelerate PRD writing; reduced time spent on routine documentation tasks across the team Designed experimentation loops using A/B testing and behavioural analytics (funnel analysis, cohorts, retention) to continuously validate product hypotheses

Relocated to Germany; focused on deepening AI product skills and German language. Built and deployed a production of few Telegram bots in

Python — end-to-end: architecture, development, deployment on Render

Completed AI for Workshop — deepened structured

knowledge of LLM feature design and AI trade-offs, building on 4 years of hands-on AI tool usage in product work

Reduced onboarding time by 35% by improving product education and user flows Identified product gaps through direct customer interaction and feedback loops Collaborated with product team to improve adoption and user experiences