WORKS / CHAPTER I /
WORKS / CHAPTER I /
WORKS / CHAPTER I /
CONFIDENTIALITY NOTICE:
CONFIDENTIALITY NOTICE:
DUE TO NDA RESTRICTIONS, SPECIFIC DETAILS, FUNCTIONALITIES AND NAMES HAVE BEEN ALTERED OR OMITTED.
MOCKUPS AND PROTOTYPES ARE ILLUSTRATIVE AND DO NOT REPRESENT THE ORIGINAL WORK.
FOR MORE INFORMATION, please contact me here.
DUE TO NDA RESTRICTIONS, SPECIFIC DETAILS, FUNCTIONALITIES AND NAMES HAVE BEEN ALTERED OR OMITTED.
MOCKUPS AND PROTOTYPES ARE ILLUSTRATIVE AND DO NOT REPRESENT THE ORIGINAL WORK.
FOR MORE INFORMATION, please contact me here.
Model Match: Find your perfect data fit. Fast.
Model Match: Find your perfect data fit. Fast.
Model Match is a user-friendly all-in-one repository for exploring and leveraging data models.
Offers comprehensive search, comparison, and insight tools to enhance data integration and efficiency.
Model Match is a user-friendly all-in-one repository for exploring and leveraging data models.
Offers comprehensive search, comparison, and insight tools to enhance data integration and efficiency.
client
client
client
Global pharmaceutical leader
Global pharmaceutical leader
Global pharmaceutical leader
time
time
time
3 weeks
3 weeks
3 weeks
team members
team members
team members
Project Manager
Project Manager
Project Manager
Product Owner
Product Owner
Product Owner
UX/UI Designer (me)
UX/UI Designer (me)
UX/UI Designer (me)
Full-stack Developer
Full-stack Developer
Full-stack Developer
my roles
my roles
my roles
UX/UI Designer
UX/UI Designer
UX/UI Designer
UX Writer
UX Writer
UX Writer
UX Researcher
UX Researcher
UX Researcher
Audience
Audience
Audience
1
1
1
Data and Domain Stewards
Data and Domain Stewards
Data and Domain Stewards
They oversee how data is organized and shared, ensuring quality standards and coordinating
with various teams. They have enough technical depth to translate business goals into data requirements.
They oversee how data is organized and shared, ensuring quality standards
and coordinating with various teams. They have enough technical depth to translate
business goals into data requirements.
They oversee how data is organized and shared, ensuring quality standards and coordinating
with various teams. They have enough technical depth to translate business goals into data requirements.
They oversee how data is organized and shared, ensuring quality standards and coordinating with various teams. They have enough technical depth to translate business goals into data requirements.
2
2
Business / Process Managers
Business / Process Managers
Business / Process Managers
2
They decide which data standards to adopt, need a holistic view of existing models, and drive domain strategy.
They decide which data standards to adopt, need a holistic view of existing models,
and drive domain strategy.
They decide which data standards to adopt, need a holistic view of existing models, and drive domain strategy.
They decide which data standards to adopt, need a holistic view
of existing models, and drive domain strategy.
3
3
3
Managers / Executives
Managers / Executives
Managers / Executives
They want a clear overview of the data models in use across the organization, focusing on strategic advantages, usage trends, and potential cost impacts.
They want a clear overview of the data models in use across the organization, focusing
on strategic advantages, usage trends, and potential cost impacts.
They want a clear overview of the data models in use across the organization, focusing on strategic advantages, usage trends, and potential cost impacts.
They want a clear overview of the data models in use across
the organization, focusing on strategic advantages, usage trends,
and potential cost impacts.
4
4
4
Technical Teams (Engineers, Leads, Content Curators)
Technical Teams (Engineers, Leads, Content Curators)
Technical Teams (Engineers, Leads, Content Curators)
They handle the practical aspects of model creation, upkeep, and reuse. They require easy access
to relevant documentation and quick ways to update or adopt existing data models.
They handle the practical aspects of model creation, upkeep, and reuse. They require easy access to relevant documentation and quick ways to update or adopt existing data models.
They handle the practical aspects of model creation, upkeep, and reuse. They require easy access
to relevant documentation and quick ways to update or adopt existing data models.
They handle the practical aspects of model creation, upkeep, and reuse. They require easy access to relevant documentation and quick ways
to update or adopt existing data models.
Challenge
Challenge
Challenge
We needed to significantly enhance how Model Match presents and recommends data models to different types of users. Because of strict time constraints, we focused on the most essential enhancements – such as a more intuitive interface and improved guidance for newcomers – while laying the groundwork for future updates.
We needed to significantly enhance how Model Match presents and recommends data models to different types of users. Because of strict time constraints, we focused on the most essential enhancements – such as a more intuitive interface and improved guidance for newcomers – while laying the groundwork for future updates.
We needed to significantly enhance how Model Match presents and recommends data models to different types of users. Because of strict time constraints, we focused on the most essential enhancements – such as a more intuitive interface and improved guidance for newcomers – while laying the groundwork for future updates.
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context
context
context
This system was crucial for streamlining how teams find and use shared data standards, ultimately reducing duplication of effort and speeding up projects. I was engaged to redesign
the interface and user flows so that any role, from new hires to seasoned data experts,
could quickly get what they needed. Redesigning was a key step toward making data management simpler and more transparent across the entire organization.
This system was crucial for streamlining how teams find and use shared data standards, ultimately reducing duplication of effort and speeding up projects.
I was engaged to redesign the interface and user flows so that any role, from new hires to seasoned data experts, could quickly get what they needed. Redesigning was a key step toward making data management simpler and more transparent across the entire organization.
This system was crucial for streamlining how teams find and use shared data standards, ultimately reducing duplication of effort and speeding up projects. I was engaged to redesign
the interface and user flows so that any role, from new hires to seasoned data experts,
could quickly get what they needed. Redesigning was a key step toward making data management simpler and more transparent across the entire organization.
This system was crucial for streamlining how teams find and use shared data standards, ultimately reducing duplication of effort
and speeding up projects. I was engaged to redesign the interface and user flows so that any role, from new hires to seasoned data experts, could quickly get what they needed. Redesigning was a key step toward making data management simpler and more transparent across the entire organization.
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user problems
user problems
user problems
1
1
1
No central source of truth:
No central source of truth:
No central source of truth:
People switched between many platforms looking for data models, causing project delays.
People switched between many platforms looking for data models, causing project delays.
People switched between many platforms looking for data models, causing project delays.
2
2
2
Overly technical language:
Overly technical language:
Overly technical language:
Users without deep technical knowledge felt lost, slowing adoption and hindering collaboration.
Users without deep technical knowledge felt lost, slowing adoption and hindering collaboration.
Users without deep technical knowledge felt lost, slowing adoption
and hindering collaboration.
3
3
3
Unclear navigation:
Unclear navigation:
Unclear navigation:
The interface lacked direct guidance, making it hard for users to find relevant models quickly.
The interface lacked direct guidance, making it hard for users to find relevant models quickly.
The interface lacked direct guidance, making it hard for users to find relevant models quickly.
4
4
4
Information clutter:
Information clutter:
Information clutter:
Poor content structure made comparisons cumbersome and reading difficult.
Poor content structure made comparisons cumbersome and reading difficult.
Poor content structure made comparisons cumbersome and reading difficult.
5
5
5
Fragmented interface:
Fragmented interface:
Fragmented interface:
Jumping across pages felt like using different tools, causing confusion and lowering confidence.
Jumping across pages felt like using different tools, causing confusion and lowering confidence.
Jumping across pages felt like using different tools, causing confusion and lowering confidence.
business problems
business problems
business problems
1
1
1
Inefficient resource allocation:
Inefficient resource allocation:
Inefficient resource allocation:
Repeated manual searches or duplicated model creation increased project costs.
Repeated manual searches or duplicated model creation increased project costs.
Repeated manual searches or duplicated model creation increased project costs.
2
2
2
Limited visibility:
Limited visibility:
Limited visibility:
Management struggled to track which data standards were gaining traction, hindering strategic decisions.
Management struggled to track which data standards were gaining traction, hindering strategic decisions.
Management struggled to track which data standards were gaining traction, hindering strategic decisions.
3
3
3
Slower time to market:
Slower time to market:
Slower time to market:
Without quick access to validated data models, product updates and launches were delayed.
Without quick access to validated data models, product updates and launches were delayed.
Without quick access to validated data models, product updates
and launches were delayed.
4
4
4
Insufficient performance metrics:
Insufficient performance metrics:
Insufficient performance metrics:
Team lacked metrics on system usage, making it harder to justify investments.
Team lacked metrics on system usage, making it harder to justify investments.
Team lacked metrics on system usage, making it harder to justify investments.
(due to time constraints this one was not addressed).
(due to time constraints this one was not addressed).
(due to time constraints this one was not addressed)
solution
solution
solution
To make meaningful improvements, I first needed a clear understanding of the issues.
I began with thorough desk research, analyzing existing user-testing insights, followed by a UX audit grounded in Nielsen’s heuristics to pinpoint critical areas for enhancement. Building on those findings,
I designed high-fidelity mockups aligned with the client’s UI guidelines and my recommendations. Together with the Product Owner, we reviewed these designs in weekly sessions, incorporating feedback from potential users. This iterative process enabled us to address the most urgent issues despite significant time constraints.
To make meaningful improvements, I first needed a clear understanding of the issues.
I began with thorough desk research, analyzing existing user-testing insights, followed by a UX audit grounded in Nielsen’s heuristics to pinpoint critical areas for enhancement. Building on those findings, I designed high-fidelity mockups aligned with the client’s UI guidelines and my recommendations. Together with the Product Owner, we reviewed these designs in weekly sessions, incorporating feedback from potential users. This iterative process enabled us to address the most urgent issues despite significant time constraints.
To make meaningful improvements, I first needed a clear understanding of the issues. I began with thorough desk research, analyzing existing user-testing insights, followed by a UX audit grounded in Nielsen’s heuristics to pinpoint critical areas for enhancement. Building on those findings, I designed high-fidelity mockups aligned with the client’s UI guidelines and my recommendations. Together with the Product Owner, we reviewed these designs in weekly sessions, incorporating feedback from potential users. This iterative process enabled us to address the most urgent issues despite significant time constraints.
To make meaningful improvements, I first needed a clear understanding of the issues. I began with thorough desk research, analyzing existing user-testing insights, followed by a UX audit grounded in Nielsen’s heuristics to pinpoint critical areas for enhancement. Building on those findings, I designed high-fidelity mockups aligned with the client’s UI guidelines and my recommendations. Together with the Product Owner, we reviewed these designs in weekly sessions, incorporating feedback from potential users. This iterative process enabled us to address the most urgent issues despite significant time constraints.
01
01
01
Explore models effortlessly with powerful search
Explore models effortlessly
with powerful search
Explore models effortlessly with powerful search
02
02
02
Follow guided assistance without tech jargon
Follow guided assistance without tech jargon
Follow guided assistance without tech jargon
03
03
03
Track system growth with real-time insights
Track system growth with real-time insights
Track system growth with real-time insights
success / impact
success / impact
success / impact
1
1
1
Reduced search time for data models:
Reduced search time for data models:
Reduced search time for data models:
By introducing friendlier navigation and improving content structure, we shortened the time users spent finding the right model.
By introducing friendlier navigation and improving content structure, we shortened the time users spent finding the right model.
By introducing friendlier navigation and improving content structure, we shortened the time users spent finding the right model.
2
2
2
Boosted adoption rate:
Boosted adoption rate:
Boosted adoption rate:
Simplified language and consistent page design led more teams to actively consult the platform.
Simplified language and consistent page design led more teams to actively consult
the platform.
Simplified language and consistent page design led more teams to actively consult the platform.
Simplified language and consistent page design led more teams to actively consult the platform.
3
3
3
Streamlined information access:
Streamlined information access:
Streamlined information access:
Users now have a unified platform, reducing the need for multiple tools and manual processes.
Users now have a unified platform, reducing the need for multiple tools and manual processes.
Users now have a unified platform, reducing the need for multiple tools and manual processes.
4
4
4
Higher user satisfaction scores:
Higher user satisfaction scores:
Higher user satisfaction scores:
Following the redesign, user satisfaction rose significantly, reflecting a more streamlined, intuitive model discovery and reuse experience.
Following the redesign, user satisfaction rose significantly, reflecting a more streamlined, intuitive model discovery and reuse experience.
Following the redesign, user satisfaction rose significantly, reflecting a more streamlined, intuitive model discovery and reuse experience.
5
5
5
Positive feedback from other product teams:
Positive feedback from other product teams:
Positive feedback from other product teams:
They praised the new structure and design, asking to reuse our UI as a template for their solutions.
They praised the new structure and design, asking to reuse our UI as a template for their solutions.
They praised the new structure and design, asking to reuse our UI as a template for their solutions.
what would i do differently?
what would i do differently?
what would i do differently?
Earlier, Broader User Testing:
Earlier, Broader User Testing:
Earlier, Broader User Testing:
Due to a tight three-week timeline, extensive user testing wasn't feasible. If more time had been available, additional testing could have identified pitfalls earlier, minimizing iteration.
Due to a tight three-week timeline, extensive user testing wasn't feasible. If more time had been available, additional testing could have identified pitfalls earlier, minimizing iteration.
Due to a tight three-week timeline, extensive user testing wasn't feasible. If more time had been available, additional testing could have identified pitfalls earlier, minimizing iteration.
More Frequent Stakeholder Reviews:
More Frequent Stakeholder Reviews:
More Frequent Stakeholder Reviews:
Scheduling additional quick design consultations earlier would clarify priorities sooner
Scheduling additional quick design consultations earlier would clarify priorities sooner
and refine concepts more efficiently.
Scheduling additional quick design consultations earlier would clarify priorities sooner and refine concepts more efficiently.
Scheduling additional quick design consultations earlier would clarify priorities sooner and refine concepts more efficiently.
and refine concepts more efficiently.