Role:
Lead Product Designer
Role:
Lead Product Designer
Role:
Lead Product Designer
Role:
Lead Product Designer
Role:
Lead Product Designer
Date:
2021
Date:
2021
Date:
2021
Date:
2021
Date:
2021
Tags:
Ai, Data Analytics
Tags:
Ai, Data Analytics
Tags:
Ai, Data Analytics
Tags:
Ai, Data Analytics
Tags:
Ai, Data Analytics
Summary
Summary
Summary
Stella is an early AI/ML-driven concept for exploring and visualizing business data. The aim was to turn raw information into actionable insights through natural interactions.
Stella is an early AI/ML-driven concept for exploring and visualizing business data. The aim was to turn raw information into actionable insights through natural interactions.
Stella is an early AI/ML-driven concept for exploring and visualizing business data. The aim was to turn raw information into actionable insights through natural interactions.
the challenge
the
challenge
Making sense before machines could
Before AI became everyday, Stella explored what it meant for design to collaborate with intelligence. The goal wasn’t to launch a product but to understand how people might one day talk to data. We set out to create an interface that could learn, respond and adapt, long before those tools existed.
the challenge
Making sense before machines could
Before AI became everyday, Stella explored what it meant for design to collaborate with intelligence. The goal wasn’t to launch a product but to understand how people might one day talk to data. We set out to create an interface that could learn, respond and adapt, long before those tools existed.
the constraints
the
constraints
Designing for the unknown
Machine learning was still early, training data was inconsistent and model output often unpredictable. Stella had to visualise intelligence that didn’t yet behave predictably. We built forward from assumptions, testing ways to make opaque systems feel understandable and trustworthy. Every decision balanced imagination with realism.
the constraints
Designing for the unknown
Machine learning was still early, training data was inconsistent and model output often unpredictable. Stella had to visualise intelligence that didn’t yet behave predictably. We built forward from assumptions, testing ways to make opaque systems feel understandable and trustworthy. Every decision balanced imagination with realism.
the process
the
process
Prototyping intelligence
The work began with behaviour not pixels. We mapped how users might ask questions, how the system might interpret them and how it could respond visually. Early prototypes mimicked conversation through adaptive layouts and contextual feedback. I led the design direction, framing the product principles and working closely with data scientists to turn abstract models into tangible moments of interaction. Each cycle pushed the boundary between static UI and dynamic response.
the process
Prototyping intelligence
The work began with behaviour not pixels. We mapped how users might ask questions, how the system might interpret them and how it could respond visually. Early prototypes mimicked conversation through adaptive layouts and contextual feedback. I led the design direction, framing the product principles and working closely with data scientists to turn abstract models into tangible moments of interaction. Each cycle pushed the boundary between static UI and dynamic response.
the principles
the
principles
Human first, machine aware
The design treated AI as a collaborator, not a feature. Information surfaced progressively, motion reflected system thinking and errors were framed as learning moments. The interface spoke a universal visual language that balanced logic with empathy, a foundation that influenced later conversational systems.
the principles
Human first, machine aware
The design treated AI as a collaborator, not a feature. Information surfaced progressively, motion reflected system thinking and errors were framed as learning moments. The interface spoke a universal visual language that balanced logic with empathy, a foundation that influenced later conversational systems.
the reflection
the
reflection
Designing before definition
Stella was never about perfection. It was about direction. The project proved that design can lead when technology is still forming, translating abstract potential into experiences people can actually imagine.
the reflection
Designing before definition
Stella was never about perfection. It was about direction. The project proved that design can lead when technology is still forming, translating abstract potential into experiences people can actually imagine.
Impact
Impact
Impact
Stella became one of the company’s first working AI concepts. It informed how later products visualised reasoning, confidence and transparency. Though experimental, it demonstrated that interface design could guide how people understand machine learning, not just how they use it.
Stella became one of the company’s first working AI concepts. It informed how later products visualised reasoning, confidence and transparency. Though experimental, it demonstrated that interface design could guide how people understand machine learning, not just how they use it.
Stella became one of the company’s first working AI concepts. It informed how later products visualised reasoning, confidence and transparency. Though experimental, it demonstrated that interface design could guide how people understand machine learning, not just how they use it.
About me
About me
I’m Öncel, a multidisciplinary designer who creates products, systems and experiences people rely on every day. I’ve partnered with global brands and startups at different stages, taking ideas from zero to MVP, leading complex designs that reached millions of users and building foundational design systems that grow with teams.
I'm based in APAC
I'm based in APAC
Singapore, Bangkok
Singapore, Bangkok
Say hi
Say hi
Got something on your mind?
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Got something on your mind?
Just say hi. I reply quickly.
Got something on your mind?
Just say hi. I reply quickly.