UX UI & Product Design for Amazon Analytics SaaS
Mark Barliet
Design is the system that decides whether a build is worth starting.
Here is how we ran ours on an analytics platform for Amazon agencies and what it found.
Designing an analytics platform for Amazon sellers means answering questions most dashboard tools never ask.
We ran around eight pages of desktop research: what this product is, how to build it technically, who the user is and what already exists on the market.
Here is what that turned into ⚡️
Information architecture and user flow design are not visible in the final product. But they determine whether users stay or leave.
We made sure every role had a clear path and every section had a reason to exist.
The result shows in the flows we built next 🗺️
These are not features added to impress. Each one solves a real problem the team faced every day before this product existed.
That is what makes the difference between a tool people ignore and one they rely on 🫴🏻
For us this was a lesson about timing, not about design quality.
The price of a build should be confirmed before the most expensive phase of design, not after it. So we added a build-capacity checkpoint.
The build plan is agreed first and only then the full blueprint begins🏄🏼♀️
The most expensive part of a product is rarely the design or the development. It is building the wrong thing well.
Design is the first place where that becomes visible and the cheapest place to change it.
Send us a message on Dribbble or book a call.
You will hear from us within 24 hours ready to move forward🔥
Keywords
UX Design, UI Design, Product Design, SaaS Design, Dashboard Design, Analytics Dashboard, User Flow, Wireframing, Prototyping, Design System, Figma Design, B2B SaaS, Seller Tools, Agency Dashboard, Financial Analytics, KPI Dashboard, E-commerce Design, MVP Design, SaaS MVP, Visual Design, UX Research, SaaS Product, Amazon Tools, Performance Dashboard.
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Posted Sep 25, 2026
Design is the system that decides whether a build is worth starting. Here is how we ran ours on an analytics platform for Amazon agencies and what it found .
