Supported Apple's Data Intelligence Platform to design and develop App Builder feature.
Supported Apple's Data Intelligence Platform to design and develop App Builder feature.
Details to be shared upon completion due to NDA.
Role:
Product Designer
Client:
Apple Inc.
Company:
Designit
Date / Duration
Sept 2025 - Currently ongoing
Team:
1 Lead product designer,
2 Senior product designer
Scope:
Scope:
UX research, prototyping and handoff
Apple Data Intelligence
Apple Data Intelligence
What the GBI Team Does:
What the GBI Team Does:
For over 20 years, the Global Business Intelligence (GBI) team has been responsible for turning raw business data into insights and metrics. Their job is to help employees across the company access data that’s accurate, timely, and reliable — enabling better decision-making. They’ve traditionally built custom (bespoke) reporting and dashboards for specific
teams or departments.
For over 20 years, the Global Business Intelligence (GBI) team has been responsible for turning raw business data into insights and metrics. Their job is to help employees across the company access data that’s accurate, timely, and reliable — enabling better decision-making. They’ve traditionally built custom (bespoke) reporting and dashboards for specific
teams or departments.
The Problem
The Problem
This current approach — where specialist analysts or engineers create custom data solutions for each team. As Apple grows, so does the demand for data and insights. The bespoke model does not scale
efficiently because:
Each new request requires manual work from experts.
It creates dependency on a small group of specialists.
It slows down access to insights for general employees.
As a result, the company risks bottlenecks, delayed decisions, and reduced agility — which contradict Apple’s need to move fast and smart.
This current approach — where specialist analysts or engineers create custom data solutions for each team. As Apple grows, so does the demand for data and insights. The bespoke model does not scale
efficiently because:
Each new request requires manual work from experts.
It creates dependency on a small group of specialists.
It slows down access to insights for general employees.
As a result, the company risks bottlenecks, delayed decisions, and reduced agility — which contradict Apple’s need to move fast and smart.
Empathy
Empathy
Conducted in-depth interviews with senior GBI stakeholders to understand diverse user needs.
Synthesized user types based on interaction depth with the platform:
Surf: Users seeking high-level insights.
Swim: Users analyzing data trends.
Dive: Users working deeply with underlying raw data.
This classification helped focus design efforts on tailoring workflows and features for these distinct needs.
Conducted in-depth interviews with senior GBI stakeholders to understand diverse user needs.
Synthesized user types based on interaction depth with the platform:
Surf: Users seeking high-level insights.
Swim: Users analyzing data trends.
Dive: Users working deeply with underlying raw data.
This classification helped focus design efforts on tailoring workflows and features for these distinct needs.
Ideate
Ideate
AI based Auto graph generator
AI based Auto graph generator
Auto graph generator connects directly to your data tables, automatically analyzing and creating the best visualizations. It makes exploring data easy for everyone by generating clear, insightful charts instantly—no manual setup needed
Auto graph generator connects directly to your data tables, automatically analyzing and creating the best visualizations. It makes exploring data easy for everyone by generating clear, insightful charts instantly—no manual setup needed
Table Selection
Users drag their desired data tables onto a visual canvas
Autograph generator
This feature enhances the data preparation process by letting users drag tables onto the workspace, then automatically building connections between them using AI.
© Saurabh Shiwankar 2023
Behance
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