Digital Transformation Integrating User Ecosystems
- Curtis Blair
- Jul 2
- 3 min read
Overview
Aligned User Ecosystem to Enterprise Data Management's Roles and Responsibilities
I designed a discovery workshop to identify the values, attributes, roles, responsibilities, and obstacles for developing an enterprise data management model while conducting secondary research identifying user archetypes and research objectives.
Disclaimer: The nature of this work is confidential, and per DoD compliance, the case study contains fictionalized data and omits project details. The case study presents a summary of my experience and design process.
Problem Statement
Results
Utilize talent management to align the EDM model’s roles, objectives, and responsibilities with current talent development objectives.
Prioritize research efforts with key partners, improving collaboration and data triangulation efficiency.
Determine committee member requirements by synthesizing task analysis with user ecosystems.
Socialize research objectives and findings showcasing benefit audience members
Role
UX Designer
UX Skills
Qualitative Research
Service Design
Field Observations
Persona/ User Roles
User Ecosystem Map
User Interviews
Wireframes
Clickable Mockups
Design Critiques
Tools
Google Suite
Figma
Miro
Zoom
Design Process
Challenge
The primary challenge of this project is the vast capabilities of enterprise platforms. Project management was essential to addressing the challenges of conducting multiple parallel research efforts.
My Responsibilities
As the Lead UX Designer, I lead my team to develop project objectives and research goals.
I coordinated research and design activities while collaborating with stakeholders and key partners, establishing cohesion through design workshops.
I captured user experiences through interviews, data triangulation, workshop analysis, and insight generation creating testable conceptual solutions resulting in holistic models for data governance, data flows, and user ecosystems.
Initial Tasks
Project Audit
Conducted audit evaluating the project’s status and prior efforts to determine objectives and goals
Created strategic summaries which influenced project deliverables
Data Governance Charter, Strategy, and Roadmap
Developed UX Design Benefit presentation providing needed design education and awareness
Project Management
Parallel Research Efforts
Utilized Kanban project management methods to coordinate and conduct parallel research activities.
Mapped User Ecosystems to connect research efforts to universal framework VAULATIS scaling insights across the enterprise
Research Efforts
Enterprise Data Management: Standards, Best Practices, Maturity State, ect
Unified Data Library (UDL): Champion, Educate, Utilize, Status Quo, etc.
Data Architecture: Enterprise Mapping, Resource Collection, User Collaboration, etc.
User Engagement: Experiences, Obstacles, UDL Utilization, Goals, Tasks, etc.
Key Partnerships: Communication, Outreach, Shared Strategies, Resources, Efforts, etc.
Discovery Workshop
Designed a workshop to explore values, benefits, and governance for enterprise data management while identifying unique SpOC requirements.
Facilitate activities gaining participant alignment for value pillars standardizing governance lines of effort and responsibilities.
Workshop Outcome
Synthesized research with workshop activities establishing a unified enterprise data management model
User Ecosystem Map
Collected change signals from user interviews and monthly working groups to identify potential new features and future needs
Mapped related mission objectives and shared tasks to develop user archetypes connected through similar obstacles and constraints
Ex: User Archetypes
Connected archetypes based on primary task roles for the Unified Data Library
Governance User - Controlling influence over user experience through policy and standards implementation
Strategic User -Directs governances user without direct or indirect experience using the platform
Developer User - Builds and maintains the platform through indirect feedback of the platform’s by-products
Service Design Outcomes
Service Design methodology influences user engagement and outreach influencing project objectives.
Advocacy for multiple users championing their goals and concerns
Establishing collaborative communities sharing resources and tasks
Socializing digital transformation models, standards, and best practices
Results
Research and workshops aligned stakeholders to develop the initial enterprise data management model, influencing priorities for data architecture and user engagement research.
Future Recommendations
Utilize talent management to align the EDM model’s roles, objectives, and responsibilities with current talent development objectives.
Prioritize research efforts with key partners, improving collaboration and data triangulation efficiency.
Determine committee member requirements by synthesizing task analysis with user ecosystems.
Socialize research objectives and findings showcasing benefit audience members
