
Ten years in product design, the last four focused on conversion. I run the whole cycle myself: find where people drop off, write the hypothesis, design and build the variant, ship it with engineers, and read the result. At Supliful a redesigned setup flow and site carried the company to $1.1M monthly GMV. At Vodafone UK a billing redesign raised customer retention 10%. At Title Resource Group an AI workflow reached production in three weeks and already covers 30% of the annual cost target.
An engagement starts with a teardown of your trial, done the way I take apart AiSDR or BabyLoveGrowth on the blog. Then I shorten the path from first login to first result and fix the checkout so the price people see is the price they pay. When the gap is an AI workflow rather than a screen, I prototype it with a person in the loop before anyone funds a platform. Success is one number: more of the people who start the trial end up paying for it. Tell me what's broken and where you're stuck.
Your trial signs people up and does not convert them. I find the value gap and redesign the path from first login to paid.
The feature exists and people still will not use it. I design the flow until conversion, retention, or time saved moves.
A working prototype first, then specs and front-end your team can ship. AI agents and workflows, proven with users before you fund the platform.
You have more AI ideas than you can fund. I map the workflow and name the one that pays for itself.

NN/g UX certification: research, usability, interaction design, and human-centered design.

Product Faculty certification in AI product strategy, LLM products, and AI workflows.
UX and AI bootcamp across the Baltics since 2020: curriculum, mentoring, real product projects. 87% of graduates find jobs in the field.
Where I apply the same thinking to my own product: a daily brief that suggests what to post next, from real posts. The only win that counts is a post that beat the creator's usual.