Web Designer - Artech LLC
Plano, TX 75024
About the Job
Job Description: Design Researcher
Responsibilities:
Collaboration & Connecting
Collaborate with technology, product, and business teams to inform intuitive and engaging customer experiences
Deeply knowledgeable of data, analytics, and measurement with a knack for tying data together into compelling insights and stories that drive action
Excellent at understanding, conducting, and discussing quantitative research approaches such as descriptive research, correlational research, experimental research
Agile collaborator with the ability to quickly gather, distill and act on feedback from partners in a rapidly changing environment
Excellent problem solver, with a research toolkit that goes beyond ‘out of the box’ methods to meet the changing and rapid needs of a growing start up environment
You’re comfortable tackling ambiguous/nebulous challenges in complex areas - preferably in a regulated industry such as data science or finance
You have proven acumen in analytics, measurement, statistics, and operations
You’re a systems thinker and orchestrator. You can effectively connect the dots between data science, design and insights to orchestrate strong recommendations that improve customer experiences, find efficiencies across shared products and common service moments, and unlock higher order value across the enterprise
Translate complex insights or ideas into understandable concepts that evolve and enhance the product experience
Advocate for the customer through human-centered design research methodologies
Champion prioritization of design centered product enhancements grounded in research and analysis
Actively teach and mentor designers who do research alongside you
Working with partners and teams across various geographies
Embrace and advocate for an experience mindset - that research is one input in the design process, in coordination with other factors/considerations
Participate in hiring by reviewing resumes, conducting interviews and attending consensus
Discovery & Delivery
Expert in quantitative research and data analysis such as:
Cluster & factor analysis
Decision logic, conjoint, or kano model analysis
Statistics, sampling, inference testing, and data modeling
Data visualization (making the complex, simple)
Root cause analysis & time series analysis
Demonstrate fluency with design research tools and techniques to measure success, present opportunities, and support decision-making and prioritization
Practice and help evolve the team’s research techniques and toolset to work effectively in cross-team collaboration
Participate in the end-to-end product design process by:
Conducting in-person and remote research studies at all stages from discovery to validation, using a variety of methods to understand customer needs and define opportunities such as usability studies, card sorting, field studies, cognitive walk-throughs, contextual inquiry, participatory design.
Conducting quantitative design research such as surveys (Kano, UMUX, etc.), data analysis (web analytics, usage metrics), and other quant UXR methods (benchmarking, tree testing, etc.)
Helping designers and non-designers on project teams understand and apply research findings by framing problems, defining insights, and designing new methodologies/practices to serve customer needs
Distilling findings into clearly articulated and actionable insights to influence the direction of research for stakeholders
Facilitating and participating in workshops with internal and external stakeholders to align with business needs
Participate in presenting research and analysis clearly and effectively across various organizations by supporting, explaining, and demonstrating usability approaches and research to a variety of audience types from design experts to non-designers
Basic Qualifications:
At least 4 years of experience with human centered research
Preferred Qualifications:
Masters Degree in social sciences, human factor, cognitive science, human computer interaction, or behavioral economics
Experience researching internal enterprise software, especially for business analysts or data algorithm tools or workflows
Comfortable working with a variety of business partners and delivering outcomes
Reason For Request:
Responsibilities:
Collaboration & Connecting
Collaborate with technology, product, and business teams to inform intuitive and engaging customer experiences
Deeply knowledgeable of data, analytics, and measurement with a knack for tying data together into compelling insights and stories that drive action
Excellent at understanding, conducting, and discussing quantitative research approaches such as descriptive research, correlational research, experimental research
Agile collaborator with the ability to quickly gather, distill and act on feedback from partners in a rapidly changing environment
Excellent problem solver, with a research toolkit that goes beyond ‘out of the box’ methods to meet the changing and rapid needs of a growing start up environment
You’re comfortable tackling ambiguous/nebulous challenges in complex areas - preferably in a regulated industry such as data science or finance
You have proven acumen in analytics, measurement, statistics, and operations
You’re a systems thinker and orchestrator. You can effectively connect the dots between data science, design and insights to orchestrate strong recommendations that improve customer experiences, find efficiencies across shared products and common service moments, and unlock higher order value across the enterprise
Translate complex insights or ideas into understandable concepts that evolve and enhance the product experience
Advocate for the customer through human-centered design research methodologies
Champion prioritization of design centered product enhancements grounded in research and analysis
Actively teach and mentor designers who do research alongside you
Working with partners and teams across various geographies
Embrace and advocate for an experience mindset - that research is one input in the design process, in coordination with other factors/considerations
Participate in hiring by reviewing resumes, conducting interviews and attending consensus
Discovery & Delivery
Expert in quantitative research and data analysis such as:
Cluster & factor analysis
Decision logic, conjoint, or kano model analysis
Statistics, sampling, inference testing, and data modeling
Data visualization (making the complex, simple)
Root cause analysis & time series analysis
Demonstrate fluency with design research tools and techniques to measure success, present opportunities, and support decision-making and prioritization
Practice and help evolve the team’s research techniques and toolset to work effectively in cross-team collaboration
Participate in the end-to-end product design process by:
Conducting in-person and remote research studies at all stages from discovery to validation, using a variety of methods to understand customer needs and define opportunities such as usability studies, card sorting, field studies, cognitive walk-throughs, contextual inquiry, participatory design.
Conducting quantitative design research such as surveys (Kano, UMUX, etc.), data analysis (web analytics, usage metrics), and other quant UXR methods (benchmarking, tree testing, etc.)
Helping designers and non-designers on project teams understand and apply research findings by framing problems, defining insights, and designing new methodologies/practices to serve customer needs
Distilling findings into clearly articulated and actionable insights to influence the direction of research for stakeholders
Facilitating and participating in workshops with internal and external stakeholders to align with business needs
Participate in presenting research and analysis clearly and effectively across various organizations by supporting, explaining, and demonstrating usability approaches and research to a variety of audience types from design experts to non-designers
Basic Qualifications:
At least 4 years of experience with human centered research
Preferred Qualifications:
Masters Degree in social sciences, human factor, cognitive science, human computer interaction, or behavioral economics
Experience researching internal enterprise software, especially for business analysts or data algorithm tools or workflows
Comfortable working with a variety of business partners and delivering outcomes
Reason For Request:
Source : Artech LLC