RESEARCH .

RESEARCH .

DESIGN .

DESIGN .

STRATEGY

STRATEGY

Mapping Made Simple

Mapping Made Simple

Mapping Made Simple

From manual spreadsheets to a faster, smarter and user-friendly data management platform

From manual spreadsheets to a faster, smarter and user-friendly data management platform

From manual spreadsheets to a faster, smarter and user-friendly data management platform

Duration

Duration

4 Months

4 Months

Industry

Healthcare, B2B

Healthcare, B2B

Client

Anthem- Health Insurance (US)

Anthem- Health Insurance (US)

my role

Lead UX Designer

Visual Designer

Team

Team

Designer (Myself), Product Team, Development Team

Designer (Myself), Product Team, Development Team

Project details and process of the project including research, design iterations and development are under NDA with Deloitte USI. Hence, I've included the highlights of my work and impact of my contributions.

Project details and process of the project including research, design iterations and development are under NDA with Deloitte USI. Hence, I've included the highlights of my work and impact of my contributions.

Project details and process of the project including research, design iterations and development are under NDA with Deloitte USI. Hence, I've included the highlights of my work and impact of my contributions.

PROJECT OVERVIEW

PROJECT OVERVIEW
PROJECT OVERVIEW

This product is a B2B healthcare data management platform for US based leading health insurance client. The case study explores how we redefined the data mapping experience for the business and system analysts from manual mapping to smarter and user friendly mapping. By designing a simplified and tailored user journeys for business analysts, we provided a comprehensive solution for centralised health data management.

This product is a B2B healthcare data management platform for US based leading health insurance client. The case study explores how we redefined the data mapping experience for the business and system analysts from manual mapping to smarter and user friendly mapping. By designing a simplified and tailored user journeys for business analysts, we provided a comprehensive solution for centralised health data management.

This product is a B2B healthcare data management platform for US based leading health insurance client. The case study explores how we redefined the data mapping experience for the business and system analysts from manual mapping to smarter and user friendly mapping. By designing a simplified and tailored user journeys for business analysts, we provided a comprehensive solution for centralised health data management.

PROCESS OVERVIEW

PROCESS OVERVIEW
PROCESS OVERVIEW

MY CONTRIBUTION

MY CONTRIBUTION
MY CONTRIBUTION

Led Product Strategy, end-to-end Product Design and Interaction Design.

Designed and delivered product experience map, a custom scalable design system and an interactive prototype of two distinct persona- consumer and admin by streamlining the data mapping process.

Collaborated closely with Product Owners, Project Managers, Delivery Leads, Development team and Senior Leadership team by aligning business requirements to the users insights.

Conducted stakeholder interviews, design workshops and design critiques to dissect the stakeholder and user needs, and to uncover and refine their vision for a transformative healthcare landscape.

Led Product Strategy, end-to-end Product Design and Interaction Design.

Designed and delivered product experience map, a custom scalable design system and an interactive prototype of two distinct persona- consumer and admin by streamlining the data mapping process.

Collaborated closely with Product Owners, Project Managers, Delivery Leads, Development team and Senior Leadership team by aligning business requirements to the users insights.

Conducted stakeholder interviews, design workshops and design critiques to dissect the stakeholder and user needs, and to uncover and refine their vision for a transformative healthcare landscape.

Led Product Strategy, end-to-end Product Design and Interaction Design.

Designed and delivered product experience map, a custom scalable design system and an interactive prototype of two distinct persona- consumer and admin by streamlining the data mapping process.

Collaborated closely with Product Owners, Project Managers, Delivery Leads, Development team and Senior Leadership team by aligning business requirements to the users insights.

Conducted stakeholder interviews, design workshops and design critiques to dissect the stakeholder and user needs, and to uncover and refine their vision for a transformative healthcare landscape.

THE PROBLEM?

THE PROBLEM?
THE PROBLEM?

KEY IMPACT

KEY IMPACT
KEY IMPACT

80%

80%
80%
Turnaround time

Turnaround time

Turnaround time

Improved accuracy and compliance by simplifying operations for Business/System Analysts.

Improved accuracy and compliance by simplifying operations for Business/System Analysts.

Improved accuracy and compliance by simplifying operations for Business/System Analysts.

Significant

Significant
Significant
Reduction in cost

Reduction in cost

Reduction in cost

Significant reduction in cost invested in the demand for specific skills

Significant reduction in cost invested in the demand for specific skills

Significant reduction in cost invested in the demand for specific skills

60%

60%
60%
Reduction in errors

Reduction in errors

Reduction in errors

Decreased attempt of rework and faster results.

Decreased attempt of rework and faster results.

Decreased attempt of rework and faster results.

APPROACH

APPROACH
APPROACH
Dissecting the user needs and the product scope

I approached the project by conducted weekly stakeholder interviews and discovery sessions to understand the business goals and current user journey of how analysts map the data sets. This helped me discover user needs and pain points, understand the business objectives, constrains which define the project scope.

This also established a shared understanding of users and stakeholder needs and created alignment across product, strategy, and leadership teams.

Dissecting the user needs and the product scope

I approached the project by conducted weekly stakeholder interviews and discovery sessions to understand the business goals and current user journey of how analysts map the data sets. This helped me discover user needs and pain points, understand the business objectives, constrains which define the project scope.

This also established a shared understanding of users and stakeholder needs and created alignment across product, strategy, and leadership teams.

Dissecting the user needs and the product scope

I approached the project by conducted weekly stakeholder interviews and discovery sessions to understand the business goals and current user journey of how analysts map the data sets. This helped me discover user needs and pain points, understand the business objectives, constrains which define the project scope.

This also established a shared understanding of users and stakeholder needs and created alignment across product, strategy, and leadership teams.

CONSUMER JOURNEY MAP

CONSUMER JOURNEY MAP
CONSUMER JOURNEY MAP

SOLUTION

SOLUTION
SOLUTION

In collaboration with Elevance Health stakeholders, we designed and developed a scalable data management platform that transformed a fragmented, multi-tab process into a unified, intuitive experience. The platform provides data analysts a consistent, seamless experience with a guided, sequential workflow, enabling more confident decision-making while reducing mapping errors and improving overall efficiency.

In collaboration with Elevance Health stakeholders, we designed and developed a scalable data management platform that transformed a fragmented, multi-tab process into a unified, intuitive experience. The platform provides data analysts a consistent, seamless experience with a guided, sequential workflow, enabling more confident decision-making while reducing mapping errors and improving overall efficiency.

In collaboration with Elevance Health stakeholders, we designed and developed a scalable data management platform that transformed a fragmented, multi-tab process into a unified, intuitive experience. The platform provides data analysts a consistent, seamless experience with a guided, sequential workflow, enabling more confident decision-making while reducing mapping errors and improving overall efficiency.

Designs

Designs
Designs
Visual Design as a part of a larger organisational system

The visual design was defined by matching the organisation's larger product system. For example, blue is the common colour used across different products in the client organisation so the primary colour palette was in the hues of blue.

I designed a custom, inclusive, and WCAG-compliant design system with patterns of reusable design assets to ensure scalability and visual consistency across all workflows. This made the delivery time faster by 70%.

I wrote clear guidelines, best practices, and naming conventions in confluence for the development team so that the team can work more efficiently and stay aligned.


Visual Design as a part of a larger organisational system

The visual design was defined by matching the organisation's larger product system. For example, blue is the common colour used across different products in the client organisation so the primary colour palette was in the hues of blue.

I designed a custom, inclusive, and WCAG-compliant design system with patterns of reusable design assets to ensure scalability and visual consistency across all workflows. This made the delivery time faster by 70%.

I wrote clear guidelines, best practices, and naming conventions in confluence for the development team so that the team can work more efficiently and stay aligned.


Visual Design as a part of a larger organisational system

The visual design was defined by matching the organisation's larger product system. For example, blue is the common colour used across different products in the client organisation so the primary colour palette was in the hues of blue.

I designed a custom, inclusive, and WCAG-compliant design system with patterns of reusable design assets to ensure scalability and visual consistency across all workflows. This made the delivery time faster by 70%.

I wrote clear guidelines, best practices, and naming conventions in confluence for the development team so that the team can work more efficiently and stay aligned.


Categories the source data

We introduced a data categorization step that allows analysts organize large source datasets into predefined categories based on the selected template which reduced the cognitive effort required during mapping. By breaking complex datasets into smaller, logical groups, the platform enables analysts to map source data to target data more accurately, efficiently, and with greater confidence.


Categories the source data

We introduced a data categorization step that allows analysts organize large source datasets into predefined categories based on the selected template which reduced the cognitive effort required during mapping. By breaking complex datasets into smaller, logical groups, the platform enables analysts to map source data to target data more accurately, efficiently, and with greater confidence.


Categories the source data

We introduced a data categorization step that allows analysts organize large source datasets into predefined categories based on the selected template which reduced the cognitive effort required during mapping. By breaking complex datasets into smaller, logical groups, the platform enables analysts to map source data to target data more accurately, efficiently, and with greater confidence.


Simplified Mapping

A simple questionnaire-style flow with a familiar drag-and-drop interaction, made data mapping quick, intuitive, and accessible for users of all skill levels.


Simplified Mapping

A simple questionnaire-style flow with a familiar drag-and-drop interaction, made data mapping quick, intuitive, and accessible for users of all skill levels.


Simplified Mapping

A simple questionnaire-style flow with a familiar drag-and-drop interaction, made data mapping quick, intuitive, and accessible for users of all skill levels.


Admin Review and Feedback

Admins perform detailed mapping reviews, flag errors, and provide corrective comments to users, streamlining processing and ensuring error-free outcomes.This streamlined feedback loop ensured accurate corrections before final approval, allowing data analysts to focus on efficient review and processing.


Admin Review and Feedback

Admins perform detailed mapping reviews, flag errors, and provide corrective comments to users, streamlining processing and ensuring error-free outcomes.This streamlined feedback loop ensured accurate corrections before final approval, allowing data analysts to focus on efficient review and processing.


Admin Review and Feedback

Admins perform detailed mapping reviews, flag errors, and provide corrective comments to users, streamlining processing and ensuring error-free outcomes.This streamlined feedback loop ensured accurate corrections before final approval, allowing data analysts to focus on efficient review and processing.


PROCESS

PROCESS
PROCESS
Thinking in system to make sense of the data

I synthesised the data and research insights into design direction, through structured sense-making activities such as archetypes, job-to-be-done, mind mapping, end-to-end consumer journey mapping, and future-state product experience mapping.

These artefacts were collaboratively developed through internal project team in the brainstorming workshops and feedback sessions with senior stakeholders.

Thinking in system to make sense of the data

I synthesised the data and research insights into design direction, through structured sense-making activities such as archetypes, job-to-be-done, mind mapping, end-to-end consumer journey mapping, and future-state product experience mapping.

These artefacts were collaboratively developed through internal project team in the brainstorming workshops and feedback sessions with senior stakeholders.

Thinking in system to make sense of the data

I synthesised the data and research insights into design direction, through structured sense-making activities such as archetypes, job-to-be-done, mind mapping, end-to-end consumer journey mapping, and future-state product experience mapping.

These artefacts were collaboratively developed through internal project team in the brainstorming workshops and feedback sessions with senior stakeholders.

Project details and process of the project including research, design iterations and development are under NDA with Deloitte USI. Hence, I've included the highlights of my work and impact of my contributions.

Pain points into experience opportunities..

With all the insights gathered from discovery research, I brainstormed and created a mind map by translating identified pain points and needs into experience opportunities across key touchpoints and the whole product system. It helped stakeholder and product team to prioratise and scope touchpoints and workflows by building consensus within the team for MVP delivery.

Below are the selected categorization of different workflows which we considered based on user needs and business requirements.

Pain points into experience opportunities..

With all the insights gathered from discovery research, I brainstormed and created a mind map by translating identified pain points and needs into experience opportunities across key touchpoints and the whole product system. It helped stakeholder and product team to prioratise and scope touchpoints and workflows by building consensus within the team for MVP delivery.

Below are the selected categorization of different workflows which we considered based on user needs and business requirements.

Pain points into experience opportunities..

With all the insights gathered from discovery research, I brainstormed and created a mind map by translating identified pain points and needs into experience opportunities across key touchpoints and the whole product system. It helped stakeholder and product team to prioratise and scope touchpoints and workflows by building consensus within the team for MVP delivery.

Below are the selected categorization of different workflows which we considered based on user needs and business requirements.

Experts

  • Dr Clare Stovell

  • Inspiring Dads

  • NCT

12 Parents

  • 9 Birth mothers

  • 2 Non-birth parents

  • 1 Expecting mother

Inclusive approach

  • Heterosexual

  • Homosexual

  • Different family structures

Parental Journey

  • 2-3 year olds

  • During pregnancy

  • Newborn

Experts

  • Dr Clare Stovell

  • Inspiring Dads

  • NCT

12 Parents

  • 9 Birth mothers

  • 2 Non-birth parents

  • 1 Expecting mother

Inclusive approach

  • Heterosexual

  • Homosexual

  • Different family structures

Parental Journey

  • 2-3 year olds

  • During pregnancy

  • Newborn

Build early test early, learn early…

I conducted multiple design critique sessions with stakeholder team who worked closely with the users and monthly reviews with Deloitte across product and strategy teams to get the feedback on initial mid-fidelity wireframes, and interaction models using a test-and-learn approach.

Build early test early, learn early…

I conducted multiple design critique sessions with stakeholder team who worked closely with the users and monthly reviews with Deloitte across product and strategy teams to get the feedback on initial mid-fidelity wireframes, and interaction models using a test-and-learn approach.

Build early test early, learn early…

I conducted multiple design critique sessions with stakeholder team who worked closely with the users and monthly reviews with Deloitte across product and strategy teams to get the feedback on initial mid-fidelity wireframes, and interaction models using a test-and-learn approach.

Testing and Improvements

I designed and tested interactive, persona-based prototypes to validate user flows, usability, accessibility, and interaction decisions. Selected use cases were evaluated using A/B testing formats to compare design outcomes. This helped the team identify and resolve issues early by reduced delivery and rework risk.

Testing and Improvements

I designed and tested interactive, persona-based prototypes to validate user flows, usability, accessibility, and interaction decisions. Selected use cases were evaluated using A/B testing formats to compare design outcomes. This helped the team identify and resolve issues early by reduced delivery and rework risk.

Testing and Improvements

I designed and tested interactive, persona-based prototypes to validate user flows, usability, accessibility, and interaction decisions. Selected use cases were evaluated using A/B testing formats to compare design outcomes. This helped the team identify and resolve issues early by reduced delivery and rework risk.

Defining end-to-end product experience

By project handover, the journey map captured the complete end-to-end user journey. It functioned as a living artefact for stakeholders to continuously identify gaps and drive future product improvements.

Defining end-to-end product experience

By project handover, the journey map captured the complete end-to-end user journey. It functioned as a living artefact for stakeholders to continuously identify gaps and drive future product improvements.

Defining end-to-end product experience

By project handover, the journey map captured the complete end-to-end user journey. It functioned as a living artefact for stakeholders to continuously identify gaps and drive future product improvements.

Delivery and Handover

The designs were developed in collaboration with development teams to ensure high fidelity and align with technical constraints. I led clean design handoffs supported by clear documentation and prototypes. 

Final delivery included an end-to-end product experience map, an inclusive and WCAG-compliant scalable design system, detailed interactive prototypes, and a visual brand developed from scratch.

Delivery and Handover

The designs were developed in collaboration with development teams to ensure high fidelity and align with technical constraints. I led clean design handoffs supported by clear documentation and prototypes. 

Final delivery included an end-to-end product experience map, an inclusive and WCAG-compliant scalable design system, detailed interactive prototypes, and a visual brand developed from scratch.

Delivery and Handover

The designs were developed in collaboration with development teams to ensure high fidelity and align with technical constraints. I led clean design handoffs supported by clear documentation and prototypes. 

Final delivery included an end-to-end product experience map, an inclusive and WCAG-compliant scalable design system, detailed interactive prototypes, and a visual brand developed from scratch.

Key Learnings

Key Learnings
Key Learnings
Reducing effort doesn't always mean reducing steps

Good UX is about reducing mental effort, not simply minimising interactions. I introduced a data categorisation step before mapping large datasets. Although it added one interaction, it reduced cognitive load by grouping data into manageable categories before users mapped source data to target datasets. This made the workflow more structured, scannable and predictable, reducing confusion and helping users complete complex mapping tasks more efficiently.

Personas reveal more than just user needs

Personas can uncover ownership, decision-making responsibilities and hidden product requirements. Mapping personas helped uncover that the product served users with different levels of knowledge, ownership and responsibility. While the initial goal was to streamline mapping for data analysts, the workflow also required expert oversight to prevent errors before data reached production. This informed the wider product scope of an Expert/Admin persona with responsibility for reviewing and validating mappings.

Involving users early

Because of the fast-paced timeline, we had limited access to end users during the initial discovery phase. I relied on stakeholder interviews and domain knowledge to understand the existing workflow and develop early wireframes. While this helped establish the product structure, it could not replace direct user research.

In retrospect, I would involve users earlier to map the current-state journey, identify pain points and validate assumptions, followed by co-design and iterative usability testing of the future-state workflow.

Reducing effort doesn't always mean reducing steps

Good UX is about reducing mental effort, not simply minimising interactions. I introduced a data categorisation step before mapping large datasets. Although it added one interaction, it reduced cognitive load by grouping data into manageable categories before users mapped source data to target datasets. This made the workflow more structured, scannable and predictable, reducing confusion and helping users complete complex mapping tasks more efficiently.

Personas reveal more than just user needs

Personas can uncover ownership, decision-making responsibilities and hidden product requirements. Mapping personas helped uncover that the product served users with different levels of knowledge, ownership and responsibility. While the initial goal was to streamline mapping for data analysts, the workflow also required expert oversight to prevent errors before data reached production. This informed the wider product scope of an Expert/Admin persona with responsibility for reviewing and validating mappings.

Involving users early

Because of the fast-paced timeline, we had limited access to end users during the initial discovery phase. I relied on stakeholder interviews and domain knowledge to understand the existing workflow and develop early wireframes. While this helped establish the product structure, it could not replace direct user research.

In retrospect, I would involve users earlier to map the current-state journey, identify pain points and validate assumptions, followed by co-design and iterative usability testing of the future-state workflow.

Reducing effort doesn't always mean reducing steps

Good UX is about reducing mental effort, not simply minimising interactions. I introduced a data categorisation step before mapping large datasets. Although it added one interaction, it reduced cognitive load by grouping data into manageable categories before users mapped source data to target datasets. This made the workflow more structured, scannable and predictable, reducing confusion and helping users complete complex mapping tasks more efficiently.

Personas reveal more than just user needs

Personas can uncover ownership, decision-making responsibilities and hidden product requirements. Mapping personas helped uncover that the product served users with different levels of knowledge, ownership and responsibility. While the initial goal was to streamline mapping for data analysts, the workflow also required expert oversight to prevent errors before data reached production. This informed the wider product scope of an Expert/Admin persona with responsibility for reviewing and validating mappings.

Involving users early

Because of the fast-paced timeline, we had limited access to end users during the initial discovery phase. I relied on stakeholder interviews and domain knowledge to understand the existing workflow and develop early wireframes. While this helped establish the product structure, it could not replace direct user research.

In retrospect, I would involve users earlier to map the current-state journey, identify pain points and validate assumptions, followed by co-design and iterative usability testing of the future-state workflow.

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Mapping Made Simple

Mapping Made Simple

© 2025 ARYA ANKALE.

London, GMT+ 0:00

© 2025 ARYA ANKALE.

London, GMT+ 0:00

© 2025 ARYA ANKALE.

London, GMT+ 0:00