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ZEROin AIPRODUCT DESIGN · 2023

PSYCHOLOGY, TURNED INTO A BUTTON YOU CAN PRESS.

ZEROin reads how an audience thinks, then builds the campaign around it. S2DO led product design: the research, the UX framework, the design system and every screen that shipped.

Role
Lead Product Designer
Year
2023
Scope
Research, UX, UI, system
Channels
Meta, Google, TikTok
ZEROin AI — project overview
01 · The challenge

Marketers were handed intelligence, not instructions.

01

Beyond demographics

Demographic targeting cannot predict what people respond to emotionally.

02

Before the spend

Budget went out before anyone knew what worked. Launch, hope, read the damage later.

03

Creative fatigue

Creative wore out quickly, and teams had no resources to keep replacing it.

04

One product, different depths

The same interface had to work for a solo founder and an enterprise team.

02 · The framework

Six modules. One audience at the centre.

Rather than stack the intelligence into disconnected tabs, the model was drawn as an orbit around one audience profile. Performance data returns to the core and re-tunes every module.

The coreAudience
profile
01

Personality intelligence

Traits and behavioural patterns

02

Decision psychology

Motivations and objections

03

Market opportunity

Audience size and reach

04

Creative execution

Videos, visuals and hooks

05

Execution & optimization

Automation and refinement

06

AI-driven strategy

Positioning and messaging

03 · Structure

The skeleton under every screen.

A modular grid that scales with expertise. Depth is always one layer down, never in the way.

01

Overview

The highlighted band answers one question before anything else: what should I do today?

02

Guided prompt builder

Nobody meets an empty box. The interface asks what a strategist would ask, then assembles the brief.

03

Scores & forecasts

Each score explains its reasoning. Forecasts remain ranges, so trust is earned rather than assumed.

04 · The system

A visual language for uncertainty.

Three teams shipped in parallel. Confidence had to read consistently everywhere, without shouting. These are semantic roles from the case study, not a replacement for the product’s own palette.

HighAct on it now
DirectionalTest before spending
Needs dataNot enough signal yet
surface/base
Page canvas
surface/raised
Cards
signal/insight
AI output
action/primary
One per view
text/primary
Headings
Example recommendation · high confidence

Shift 30% of spend to the achievement-driven segment

Apply
The result

AI capability that reaches the person who has to act on it. Insight arrives as a next step, and one interface carries a founder’s first session and an enterprise team’s daily work.

Modules, one framework
6
Ad channels, one strategy
3
System across three teams
1

ZEROin AI is the client. Product names and interface imagery belong to their respective owners.