UX Research Methods, Data Sensemaking and Effective Findings Reporting

UX Research Methods, Data Sensemaking and Effective Findings Reporting

Duration

2 Days

Course Fee

688 SGD

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UX Research Methods, Data Sensemaking and Effective Findings Reporting

Course Description

This two-day course is designed for UX professionals who have a foundational understanding of user research and seek to deepen their skills in data analysis and reporting. Participants will explore advanced research methodologies, learn techniques for analyzing qualitative and quantitative data, and apply sensemaking frameworks to interpret findings. The course emphasizes the importance of effectively communicating insights through impactful reports and presentations, ensuring that research informs design and strategic decisions.

By the end of the course, participants will be equipped with advanced skills in user research analysis, data interpretation, and reporting, enabling them to convey actionable insights that influence product design and user experience.

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Target Audience

  • UX researchers and designers with foundational knowledge of user research.
  • Product managers and team leads looking to enhance their understanding of data analysis.
  • Marketing professionals who need to leverage research insights in decision-making.
  • Anyone interested in mastering the art of reporting research findings and insights.

Learning Outcomes

  • Understand and apply advanced UX research methodologies.
  • Analyze qualitative and quantitative data using effective techniques.
  • Utilize sensemaking frameworks to interpret complex research findings.
  • Create structured reports that present insights in a clear and compelling manner.
  • Communicate findings effectively to stakeholders to inform design decisions.

Course Highlights

  • Advanced methodologies for user research and data collection
  • Techniques for qualitative and quantitative data analysis
  • Sensemaking frameworks to interpret complex research findings
  • Creating impactful reports and presentations for stakeholders
  • Communicating insights effectively to drive design decisions

Course Outline

Day 1: Advanced Research Methodologies and Data Analysis Techniques

  • Overview of advanced qualitative and quantitative research methods (e.g., ethnographic studies, A/B testing).
  • Integrating mixed methods: Combining qualitative and quantitative approaches for richer insights.
  • Planning and executing longitudinal studies for deeper user insights.
  • Advanced coding techniques: Thematic analysis, grounded theory, and affinity mapping.
  • Using software tools (like NVivo or Atlas.ti) for qualitative data analysis.
  • Identifying patterns, themes, and user motivations from qualitative data.
  • Statistical analysis methods: Descriptive statistics, correlation, and regression analysis.
  • Utilizing data visualization tools (like Tableau or Google Data Studio) for presenting quantitative findings.
  • Interpreting survey results and user metrics effectively.
  • Understanding sensemaking: How to derive meaning from complex data sets.
  • Techniques for synthesizing and integrating diverse data sources.
  • Using frameworks like the “Five Whys” or “Fishbone Diagram” for root cause analysis.

Day 2: Reporting Insights and Communicating Findings

  • Key components of effective research reports: Executive summaries, methodologies, findings, and recommendations.
  • Best practices for writing clear and concise reports.
  • Tailoring reports for different stakeholders (design teams, executives, clients).
  • Techniques for visual storytelling: Using visuals to enhance data presentation.
  • Designing slides that communicate insights effectively (using PowerPoint, Keynote, or similar tools).
  • Practicing presentation skills: Engaging stakeholders and facilitating discussions around findings.
  • Strategies for advocating for user-centered design based on research findings.
  • Techniques for facilitating workshops or discussions to brainstorm next steps.
  • Developing action-oriented recommendations based on research insights.
  • Analyzing real-world case studies of successful UX research reporting.
  • Group activity: Participants present their own research findings and receive feedback from peers.
  • Reflection and discussion on challenges and successes in communicating insights.