SplitSense B2B SaaS | AI CRO Platform

SplitSense is an AI-powered CRO & A/B testing platform that automatically generates copy variations, runs experiments, and optimises your websites around the clock, no code, no guesswork.

UX redesign & visual direction for an AI-powered conversion optimization platform, bringing agent insights, analytics, and session recordings into a clearer, more consistent product experience.

Splitsense helps teams identify friction in website journeys and find opportunities to improve conversion. Its AI agent, analytics, and session recordings each provide a different part of the picture. The design challenge was to help users move between those perspectives without losing context.

I worked on a UX redesign of the Agent Dashboard, Analytics, Navigation and Session Recordings. Along with the flows, I defined a new visual language and a reusable design system to make the product feel like one connected platform.

The agent produces findings all the time, so the dashboard has to answer one question: which of them matter right now? I rebuilt the view so agent activity and new opportunities are easy to scan, and so it is clear what is just worth watching and what needs a decision from the user.

The goal was to make AI output usable inside the daily workflow: a starting point for investigation, with a short path to the evidence behind each finding.

When every metric competes for attention, conversion data stops being useful. I rebuilt Analytics around a clear hierarchy: the key performance signals come first, and the detail stays one step away for deeper analysis.

The visual approach lets users read changes and trends first, and only then dive into individual journeys. It also gives dense data one consistent way of being presented across the platform.

Numbers show where a journey breaks. Recordings show why. I redesigned Session Recordings so that watching real user behaviour is a natural step of the investigation, not a separate tool.

Teams can now open the behaviour behind an analytics signal or an agent finding and check it themselves, instead of trusting a summary.

The three experiences had to feel like one product. I set a modern visual direction and built reusable components for a data-heavy interface: layouts, information hierarchy and interactive elements follow the same rules everywhere.

The system runs on variables and colour tokens, so visual decisions live in one place. That makes theming scalable and the system easier to maintain across products and states.

It gives the team a base to keep extending the platform while new screens stay consistent with the redesign.

Over ten weeks, the project delivered redesigned experiences for the Agent Dashboard, Analytics, and Session Recordings, supported by a reusable visual system.

The founder said the UI met the brief and solved design problems the team had been dealing with for a long time. The product now has a clearer foundation for a workflow that moves between AI recommendations, quantitative data and real user behaviour.