OVERVIEW
Sportstech is composed of multiple products that manage and supply data at different hierarchical levels of sporting events, adapting to the specific rules and details of each sport.
Within this division is where answers are formulated for internal and external users, including information such as when a fixture is going to happen, who is playing, what the rules of the game are, what the competition structure is, what the result was, in what venue it took place, and being able to contrast it with events that occurred in the past, facilitating all the quantitative and statistical data of the information.
The main tasks are:
Collect Statistics
We have devices installed in venues and scoreboards owned by leagues and affiliated teams to collect real-time data on all events occurring within a fixture.
Manage Data
The architecture of different competitions, and fixtures is built.
• The rules of the game and key stakeholders are mapped.
• The data collected from the venue devices is validated and enriched through industry-standard comparisons and corroborations.
Data Display
• Finally, this stage determines how users consume the information.
• The data is distributed in depending on the user’s needs and interests.
OVERVIEW
Sportstech is composed of multiple products that manage and supply data at different hierarchical levels of sporting events, adapting to the specific rules and details of each sport.
Within this division is where answers are formulated for internal and external users, including information such as when a fixture is going to happen, who is playing, what the rules of the game are, what the competition structure is, what the result was, in what venue it took place, and being able to contrast it with events that occurred in the past, facilitating all the quantitative and statistical data of the information.
The main tasks are:
Collect Statistics
We have devices installed in venues and scoreboards owned by leagues and affiliated teams to collect real-time data on all events occurring within a fixture.
Manage Data
The architecture of different competitions, and fixtures is built.
• The rules of the game and key stakeholders are mapped.
• The data collected from the venue devices is validated and enriched through industry-standard comparisons and corroborations.
Data Display
• Finally, this stage determines how users consume the information.
• The data is distributed in depending on the user’s needs and interests.
OVERVIEW
Sportstech is composed of multiple products that manage and supply data at different hierarchical levels of sporting events, adapting to the specific rules and details of each sport.
Within this division is where answers are formulated for internal and external users, including information such as when a fixture is going to happen, who is playing, what the rules of the game are, what the competition structure is, what the result was, in what venue it took place, and being able to contrast it with events that occurred in the past, facilitating all the quantitative and statistical data of the information.
The main tasks are:
Collect Statistics
We have devices installed in venues and scoreboards owned by leagues and affiliated teams to collect real-time data on all events occurring within a fixture.
Manage Data
The architecture of different competitions, and fixtures is built.
• The rules of the game and key stakeholders are mapped.
• The data collected from the venue devices is validated and enriched through industry-standard comparisons and corroborations.
Data Display
• Finally, this stage determines how users consume the information.
• The data is distributed in depending on the user’s needs and interests.
THE CHALLENGE
Since these were legacy products initially developed without UX collaboration, the original platform was not user-friendly and had multiple interaction problems.
Additionally, due to the lack of a unified system, the product could not handle multiple scenarios, forcing users to rely on different tools to compensate for system limitations.
Key challenges included:
• Providing real-time, accurate, and proactive data,
• Automate to minimize manual intervention and human errors.
• Building a categorization system.
• Sport agnostic system for elements and sections.
• Distribute quantitative data, based on specific use cases.
• Updated information across thousands of concurrent events.
• Redesigning the existing product
• Information architecture re definition
• Improve navigation and data distribution.
THE CHALLENGE
Since these were legacy products initially developed without UX collaboration, the original platform was not user-friendly and had multiple interaction problems.
Additionally, due to the lack of a unified system, the product could not handle multiple scenarios, forcing users to rely on different tools to compensate for system limitations.
Key challenges included:
• Providing real-time, accurate, and proactive data,
• Automate to minimize manual intervention and human errors.
• Building a categorization system.
• Sport agnostic system for elements and sections.
• Distribute quantitative data, based on specific use cases.
• Updated information across thousands of concurrent events.
• Redesigning the existing product
• Information architecture re definition
• Improve navigation and data distribution.
THE CHALLENGE
Since these were legacy products initially developed without UX collaboration, the original platform was not user-friendly and had multiple interaction problems.
Additionally, due to the lack of a unified system, the product could not handle multiple scenarios, forcing users to rely on different tools to compensate for system limitations.
Key challenges included:
• Providing real-time, accurate, and proactive data,
• Automate to minimize manual intervention and human errors.
• Building a categorization system.
• Sport agnostic system for elements and sections.
• Distribute quantitative data, based on specific use cases.
• Updated information across thousands of concurrent events.
• Redesigning the existing product
• Information architecture re definition
• Improve navigation and data distribution.
UX ROLE
My responsibilities in this area focus on unifying and improving the UX across the various products involved in data management.
Despite being part of the same company, these products had inconsistent visual identities, component behaviors, information architecture, and naming conventions.
Key UX tasks included:
• Identifying the current product architectures
• Design new, optimized user flows.
• Define and standardizing the information architecture.
• Redesigning the UI to align with the design system.
• Implementing new features and tool enhancements.
• Developing the taxonomy design for intuitive interaction.
UX ROLE
My responsibilities in this area focus on unifying and improving the UX across the various products involved in data management.
Despite being part of the same company, these products had inconsistent visual identities, component behaviors, information architecture, and naming conventions.
Key UX tasks included:
• Identifying the current product architectures
• Design new, optimized user flows.
• Define and standardizing the information architecture.
• Redesigning the UI to align with the design system.
• Implementing new features and tool enhancements.
• Developing the taxonomy design for intuitive interaction.
UX ROLE
My responsibilities in this area focus on unifying and improving the UX across the various products involved in data management.
Despite being part of the same company, these products had inconsistent visual identities, component behaviors, information architecture, and naming conventions.
Key UX tasks included:
• Identifying the current product architectures
• Design new, optimized user flows.
• Define and standardizing the information architecture.
• Redesigning the UI to align with the design system.
• Implementing new features and tool enhancements.
• Developing the taxonomy design for intuitive interaction.
RESULTS
This is an ongoing project due to the scale of the proposed intervention and the number of products impacted by the UX and UI improvements; However, significant progress has already been made, including:
• New taxonomy system.
• To map elements across different systems.
• New tables and filters.
• Partial implementation of the new UI.
• Decommissioning of 4 outdated products,
• New search and tagging standard.
RESULTS
This is an ongoing project due to the scale of the proposed intervention and the number of products impacted by the UX and UI improvements; However, significant progress has already been made, including:
• New taxonomy system.
• To map elements across different systems.
• New tables and filters.
• Partial implementation of the new UI.
• Decommissioning of 4 outdated products,
• New search and tagging standard.
RESULTS
This is an ongoing project due to the scale of the proposed intervention and the number of products impacted by the UX and UI improvements; However, significant progress has already been made, including:
• New taxonomy system.
• To map elements across different systems.
• New tables and filters.
• Partial implementation of the new UI.
• Decommissioning of 4 outdated products,
• New search and tagging standard.
LEARNINGS & NEXT STEPS
• Ensure that all Sportstech function as a unified suite
• Establish a consistent visual and experience standard
• Reduce the learning curve when transitioning between products.
• Fully implement design system patterns across all platforms.
• Prioritize developer tickets to roll out the new implementations.
NEXT CASE
NEXT CASE
NEXT CASE
Bizagi DS Crafting Consistency
Bizagi DS Crafting Consistency
Bizagi DS Crafting Consistency
UI/UX Case Study
UI/UX Case Study
UI/UX Case Study
LIKE WHAT YOU SEE?
LIKE WHAT YOU SEE?
LIKE WHAT YOU SEE?
LETS WORK TOGETHER
LETS WORK TOGETHER
LETS WORK TOGETHER
This could be the start of something great, send me an email so we can get to know each other.
This could be the start of something great, send me an email so we can get to know each other.
This could be the start of something great, send me an email so we can get to know each other