MY ROLE
Product Owner & UX Strategist
TEAM
Technical Program Manager | UI Designe | FE Engineer | BE Engineer | QA Engineer
MY SERVICES
01
Strategic Direction & Research
Led user research to define a user-centric problem statement and design goals aligned with business objectives.
02
User Advocacy & Design
Spearheaded the design process, driving the user-centered process through brainstorming, wireframing, and testing.
03
Communication & Collaboration
Fostered cross-functional collaboration, bridging user needs and business goals through clear documentation.
BACKGROUND
The SkillsVR Enterprise platform is a comprehensive Learning and Development (L&D) solution that streamlines user management, content organization, device integration, and data analysis – all within a single platform for organizations of any size. This project delves into enhancing the analytics dashboard capabilities within the SkillsVR Enterprise platform to empower L&D professionals with deeper insights and informed decision-making.
My Process
Internal Interviews
Stakeholder Interviews
Competitive Analysis
User Interview
Usability Testing
Affinity Mapping
Problem Definition
Design Goals
Scope Definition
Solution Ideation
Concept Design
Testing & Validation
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Final Design
Challenges
Successes
Next Steps
Discover
To deeply understand user needs and industry trends, I spearheaded a comprehensive discovery phase, conducting customer support team interviews, stakeholder discussions, a competitive analysis, and a user interview and exploratory usability test.
The user experience of our Analytics feature underwent a user-centered redesign, with a dual purpose: improving usability and attracting a global retail giant as a a client.
By aligning user needs with the client's specific data analytics needs, we aimed to create a solution that empowers users and positions us competitively.
Targeting a Retail Giant
Initial Hypothesis and Goals
Usability Gap
Due to limited functionalities and user-friendliness, users struggle to find relevant data within the current Enterprise platform Analytics feature.
Insight Deficit
The lack of actionable insights hinders users' ability to make informed decisions and optimize training programs.
Empower L&D Professionals
Enhance the SkillsVR Enterprise Analytics feature to empower L&D professionals with user-friendly access to relevant data and actionable insights, thereby improving their decision-making and training effectiveness.
Research & Analysis
COMPETITIVE ANALYSIS (KEY POINTS)
Brand
Functionality
Value Proposition
Data Points
STRIVR
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Deep analytics (100+ data points/second)
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Usage, performance, sentiment, behavior across cohorts
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Individual user reporting
Enables L&D, HR, and talent teams to manager, deliver, and measure immersive content across thousands of locations.
Location/Learner/Time, Unique Learners, Avg. Activity Duration, Completion, Score, Score by Concept & Difficulty, Usage Progression
Talespin
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Learner skills & knowledge assessment
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Usage & completion tracking
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Behavior change insights (dashboards)
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Historical training data analysis
Empowers organizations and learners to unlock the future of work with immersive learning experiences that accelerate skill development, validation, and career advancement.
Completion Rate, Team Average, Training Time, Score, Tracking Log, Attempts Org Average, Number of Lessons, Behavioral Feedback
Immerse.io
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Comprehensive tracking
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Completion tracking
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User interaction tracking
Enables companies to aggregate, distribute, and analyze any type of immersive learning content.
Movement/Interactions, Voice, Biometrics, Eye Tracking, Total Training Time, Number of Actions/Sessions, Top Users, Recent Sessions
TARGET USER
Corporate Learning & Development Manager
Human Resources
1-on-1 Employee Training
Difficult to scale
Proof of positive impact
Drive business success
Improve employee skills
USER PAIN POINTS & NEEDS
Lack of relevant data
Need access to in-depth data and actionable insights
Irrelevant information
Need ability to filter and personalize data views
Limited data flexibility
Need ability to export and share data easily
Difficulty finding data
Need Intuitive navigation and search functionalities
Primary Research Insights
INSIGHTS
JOBS TO BE DONE
Information overload
Users struggle with prioritizing and contextualizing data, leading to feeling overwhelmed.
Users need ways to filter and segment data for a more focused analysis aligned with their training goals
Limited data exploration
Current data segmentation hinders user ability to explore from different perspectives.
Users need ways to segment data by specific criteria to identify trends and patterns within their training
Unclear data visualization
Difficulty in extracting meaningful insights due to poor data presentation and organization.
Users need clear and concise data visualization to facilitate the extraction of actionable insights
THE OPPORTUNITY
How might we improve our Analytics feature to enhance data relevance, expand data segmentation capabilities, and deliver insights that strike the right balance between breadth and granularity, ultimately facilitating user efficiency and effective decision-making?
Define
Building upon the Discovery findings, the Define stage formalized our approach. I translated insights into a clear problem statement, defined measurable design goals, and established the design strategy of the project, including limitations and expected impact, ensuring a solid foundation for a solution tailored to user needs.
Design Goals
01. Enhance data relevance
Improve the relevance of displayed data by refining content and insights to align with user needs and preferences.
03. Show high-level data
Highlight summarized data trends and key insights, while allowing users to delve deeper into specific data points as needed.
Ideation
Accessibility and Aggregation
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Display high-level aggregated data
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Robust & relevant cross-module insights
Customization and Organization
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User-defined filters specific to their organization
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Segmentation and export capabilities
Performance and Learning
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Display high-level aggregated data
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Robust & relevant cross-module insights
Device and Time
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Insights into device usage, including training frequency and peak usage times
KEY FUNCTIONS
Trainee feedback
Devices used
Relevant analytics
High-level data
Pass/Fail
Recommended track
Hot spots
Training cost vs impact
Filter by role
Time-based data
Comparison to standard
Headset usage
Design Strategy
01
Clear Direction
A well-defined project scope ensured alignment between design, development, and overall product objectives. User needs were meticulously considered to guide the project's direction.
02
Focused Scope
By concentrating on enhancements within existing technological constraints, we optimized development efforts. We prioritized improving filtering, drill-down, and data visualization capabilities.
03
Anticipated Benefits
Significantly enhance user satisfaction by providing more intuitive data exploration functionalities, positioning us strongly to attract the Global Retail Giant client.
Develop
Bridging the gap between design and development, I spearheaded the creation and testing of wireframes for the Analytics feature. User testing, including a representative from our target client, ensured the design aligned with user needs and paved the way for a high-fidelity mockup by our UI designer. Once finalized, I handed off the PRD and final design to our technical program manager, ensuring a seamless handoff to development.
Concept Testing
WIREFRAME DESIGN
TESTING OBJECTIVES
Data relevance
Assess how well users interpret and relate to the represented data in the Analytics feature
Data visualization
Assess the effectiveness and suitability of the the data visualization elements
Filter options
Gauge the usability, efficiency, and relevance of the feature's interactive filter options
General functionality
Identify and address any general usability and functionality issues that may exist
TESTING RESULTS
Add more filter optons
User testing with a former client L&D director identified a need for additional filtering options, including roles and topics, to better align with user needs.
Include comparisons
Initial testing yielded positive results. However, additional data comparisons, such as new vs. returning learner device usage, are needed for further insights.
Add more high-level details
The usability testing results underscored the need for supplementary high-level details and information, specifically for the data section on top performing modules.
Deliver
The delivery stage marked the culmination of the design process. I collaborated closely with the development team to hand off the finalized design for the Analytics feature - a solution optimized for user needs and aligned with the organization's business goals.
Note: Due to my departure during the feature's technical development phase, I don't have access to post-development information like QA reports or user feedback metrics.
Filtering optons
Comparisons
High-level details
Reflect
Throughout this project, I gained several valuable insights. Juggling time constraints and resource limitations meant we had to get creative with research and testing. It wasn't always easy, but by working closely with the team, we delivered a solid redesign that feels like a springboard for future improvements with more user feedback.
CHALLENGES
01 Narrow timeline
While the project timeline was tight, by working collaboratively, we were able to prioritize research and testing efforts to gather the most crucial insights.
02 Limited research and testing
Conducting research with a small pool of participants limits the breadth of insights that can be gathered and may not adequately represent the diverse user needs.
03 Lack of meaningful KPIs
The absence of measurable KPIs makes it difficult to measure the success and impact of the new Analytics feature redesign.
SUCCESSES
01 Achieving milestones
Despite the narrow timeline and limited resources, we were able to launch the feature by our project deadline.
02 Foundation for future optimizations
Despite limited research and testing opportunities, the initial design laid a strong foundation for future optimization and iterative enhancements, initiated by surface-level research with the prospective client we aimed to secure.
03 Strong adaptability and collaboration
The team demonstrated adaptability and collaboration in finding solutions to design challenges given limitations.