designatlas.io
From idea to live product with AI: a product design case study
Focused on problems, decisions, and outcomes—not visuals.
From idea to live product with AI: a product design case study
End-to-end mobile app redesign focused on simplifying daily merchant workflows
End-to-end dashboard experience for merchants: from research to live improvements

End-to-end design system architecture to scale consistency across multiple B2B products
End-to-end self-service card application and management system for corporate customers
Notes on product design, AI, and decision-making.

ChatGPT'yi kendi ihtiyaçlarınıza göre nasıl özelleştirebilir ve daha verimli sonuçlar alabilirsiniz?

B2B ürünlerinde kullanıcı araştırması yaparken karşılaşılan zorluklar ve çözüm önerileri.

Kod bilmeden ChatGPT yardımıyla Figma plugin'i nasıl geliştirilir? Adım adım rehber.

Yapay zeka destekli ürünlerde tasarımcıların karar verme sorumluluğu ve etik yaklaşımlar.
iyzico
Feb 2023 - Present
Delivery Hero
Sep 2022 - Feb 2023
Yemeksepeti
Nov 2021 - Sep 2022
Londonist DMC
Nov 2020 - Sep 2021
Garanti BBVA Technology
Sep 2018 - Jun 2019
Tools I use to think, test, and iterate.
Design systems, token-based UI, and scalable component libraries. Used to translate complex B2B requirements into consistent and maintainable interfaces.
Problem framing, user flows, and team alignment. Used to clarify thinking before jumping into solutions.
Interactive, animated, and production-ready portfolio and landing pages. Used to present work with motion, hierarchy, and clear storytelling.
UX writing, research synthesis, and decision support. Used as a thinking partner to challenge assumptions and explore alternatives.
Long-form thinking, structured documentation, and complex problem breakdowns. Used for deeper reasoning and content structuring.
Exploration, visual generation, and alternative perspective building. Used to validate assumptions, explore different solution paths, and generate AI-assisted visuals that support early-stage ideation and storytelling.
Research synthesis and knowledge structuring from multiple sources. Used to extract insights, connect references, and support informed product decisions.
Rapid product prototyping and idea validation with AI assistance. Used to quickly explore concepts and test feasibility before deeper investment.
Research and insight automation. Used to collect, summarize, and share user insights across teams.
Documentation, design principles, and product knowledge sharing. Used as a single source for decisions, learnings, and references.
Behavior analysis and funnel observation. Used to identify drop-off points and validate UX decisions with data.
User session recordings, heatmaps, and interaction analysis. Used to observe real user behavior and uncover friction points.