CHALLENGE:

User research exposed a highly manual process to ingest, clean, and distribute data that was full of redundancies and took on average 6-7 weeks. Additionally, there were multiple engineering teams each supporting 1-many software solutions for various data-cleansing teams, again, full of redundancies.

• 6 data cleansing teams used different tools and processes

• teams had different methods to measure data quality

• teams had different methods to ingest and distribute data.

• Software for a number of the tools was ASCII based key-code software that required an immensely high learning curve, was difficulty to update, and required on-premises access in Omaha, NE.

• Developers were using varied methods for research, design, component creation and pattern usage, resulting in highly inconsistent user experiences.

GOAL:

• Unify and simplify the numerous, varied on-premises workflows and software solutions into a single cloud-based platform.

• Standardize on a universal definition of accuracy, fill rate and quality

• Solidify an end-to-end cloud-based solution for data ingestion, cleansing and distribution that ensures high-quality data.

• Define a common component system and pattern library

• Reduce redundancies

PROCESS:

I championed UX culture and drove cohesive design direction and strategic vision for the data platform team.

• Led a collaborative UX research environment, conducting and synthesizing research studies of senior stakeholders, data-cleansing teams, support and engineering teams

• Socialized research insights and led design workshops that provided an inclusive, participatory, data-driven design culture.

• Created high-fidelity prototypes

• Component and pattern library management, socialization and documentation

I would be happy to present in person.

OUTCOME:

Standardizations across all properties for;

• component library with consistent interaction patterns

• consistent taxonomy

• CTAs and affordances promoting awareness, trust, and engagement.

• definition of quality as accuracy and fill rate

• ingestion and distribution through API.

We created a simplified cloud-based, highly automated data processing platform where business record updates that previously took 6-7 weeks to process, were now processed in under 24 hours and accessible through an API via AWS.

Teams were repurposed and retrained to do more valuable work.

MY ROLE:

User research, Design, Design socialization and cross-collaboration with Support, Product Management and Engineering teams.

CHALLENGE:

Documentation was being managed by various individuals in varied formats and shared by hand or email, leading to issues with version control and accuracy.

GOAL:

Reduce inconsistencies and make our documentation accessible from one consistent location on the platform website. Utilize Data Axle visual system of infographics and data visualizations to simplify complex concepts.

PROCESS:

UX research and user-centric, data-driven design iteration with broad socialization and cross-functional participation.

• Conducted and synthesised research studies of senior stakeholders, data cleansing teams, support and engineering teams

• Socialized research insights

• Created high-fidelity prototypes

• Illustration and iterative socialization for alignment

• Documentation redesign

OUTCOME:

• Easily accessible online documentation

• Sales teams, technical support teams and end-customers had access to the most current documentation from one consistent, trusted source.

• Illustrations helped lighten the stuffy technical tone providing approachable aspects of life and emotion.

• Verbiage, taxonomy and overall messaging updated and adjusted through iteration as our offerings evolved.

MY ROLE:

User research, Design iteration, Illustration, Design socialization and cross-collaboration with Data Cleansing teams, Product Management and Engineering teams.

CHALLENGE:

Infogroup had various data compilation teams, each with a distinct name but little to differentiate between the quality and services they offered.

GOAL:

Data Axle platform team needed a visual identity to differentiate it as a leader in data quality within Infogroup and showcase the additional abilities to search, submit, and subscribe to real-time data. The identity was to be used on the website, internal tools, data interfaces, and business/sales materials.

PROCESS:

UX research / Design iteration, Design socialization, Cross-functional collaboration

MY ROLE:

Stakeholder interviews, Industry Audits, User research, Design iteration, Design socialization and cross-collaboration with Platform CTO and Infogroup Branding and Marketing.

CHALLENGE:

No visual language existed to convey complex data compilation.

GOAL:

Explain technical concepts with clear visual narratives, and data visualizations to enable a learning path for non-technical users while promoting trust, quality, accuracy and conceptual alignment for all users.

PROCESS:

UX research and user-centric, data-driven design iteration with broad socialization and cross-functional participation.

• Conducted and synthesised research studies of senior stakeholders, data cleansing teams, support and engineering teams

• Socialized research insights

• Created high-fidelity prototypes

• Illustration and iterative socialization for alignment

OUTCOME:

• A visual identity system that extended the messaging and intention behind the platform’s logo creation (data ingestion, data cleansing and real-time data availability).

• Illustrations and infographics, connecting real-world use cases with capabilities platform data would provide organizations.

• A More approachable and consistent visual language that provided levity to the dry technical documentation that was focused solely on implementations.

• Inclusion of Consumer data and B2C database content.

Infogroup has three distinct databases; Business data, Consumer data, and B2C data that was represented with the artwork below. Each database included a variety of related segments that customers can select and choose to license.

API artwork and logos

The Data Axle platform had seven APIs represented by distinct artwork that alluded to their core functionality, while included aspects of search, submit and subscribe.

Illustrations and infographics supplemented conference media, presentations, monthly newsletters and email blasts, providing a more colorful and approachable understanding of the concepts and technologies.

MY ROLE:

Stakeholder interviews, Industry Audits, User research, Design iteration, Design socialization and cross-collaboration with Platform CTO and Infogroup Branding and Marketing.

CHALLENGE:

Product managers, Sales and Support teams were regularly randomized with new or prospective customer discussions about our data solutions, technologies, setting up free trials. This required substantial introductory hand holding.

GOAL:

Create a self-signup process for customers to register for a free trial of our platform's APIs and technologies. This introductory process would help users understand our data model better and clarify their future interactions. Users would be able to select and filter datasets that suit their business needs while learning about our products and services. Consequently, this method will reduce the need for heavy Product Management, Sales, and Support involvement, resulting in cost savings.

PROCESS:

Partnering engineering leadership, key stakeholders, support team and platform team engineering, I drove a cross-functional, user-centered research and data-driven design process.

• Conducted and synthesized research studies across multiple product offerings, each with its own authentication and heavy support signup process.

• Socialized research and design through cross-functional workshops, promoting a common understanding of current customer journey and the user’s expectations, if provided a more unified experience.

• Utilized team feedback and innovative ideas to focus on a streamlined experience

• Designed and prototyped cohesive workflows and strategic vision, and socialized cross-functionally to iterate and improve flow.

OUTCOME:

• A workflow where customers could signup for a free 30 day trial of our business, consumer or B2C data.

• Empowered customers with hands on engagement

• Substantial increase in self-signup activity

• Dramatic reduction of Product management, Sales and Support randomization, enabling reprioritization of time for other important business initiatives.

• Operational cost savings for internal teams

• Highlighted the need to expand self-service efforts

MY ROLE:

User research, Design, Design socialization and cross-collaboration with Data Cleansing teams, Support, Product Management and Engineering teams.