Product Analytics & User Experience (UX) Optimisation
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2025054936
S$720
Original: S$2,400
Save S$1,680
About This Course
Be equipped with analytical techniques and tools to uncover user behaviour, measure product performance and make data-driven decisions that enhance Customer Experience (CX) and User Experience (UX).
Get hands-on expertise in A/ B testing, Multi-Armed Bandit experimentation, prescriptive and predictive analytics, and data visualisation to extract meaningful insights that inform product design, feature development, and overall business growth. Learn to translate raw data into actionable strategies, improve engagement metrics, and craft seamless, high-impact digital experiences.
What You'll Learn
At the end of this 2-day course, participants will be able to:
• Measure and interpret product performance by identifying key metrics (e.g., engagement, conversion, retention), tracking performance trends, and deriving meaningful insights to pinpoint strengths and areas for improvement.
• Design and conduct effective experiments using A/ B testing and Multi-Armed Bandit strategies, formulating clear hypotheses, and analysing results to inform data-backed decision-making.
• Leverage advanced analytics by applying predictive and prescriptive techniques to forecast trends, personalise user journeys, and guide feature development that aligns with customer and business needs.
• Visualise and communicate insights through impactful dashboards and reports, translating complex findings into actionable recommendations, and aligning stakeholders on key priorities.
• Drive data-informed experience optimisation by employing continuous feedback loops to refine product design, collaborating with cross-functional teams on iterative improvements, and fostering a culture of data-driven innovation to boost user satisfaction and retention.
• Measure and interpret product performance by identifying key metrics (e.g., engagement, conversion, retention), tracking performance trends, and deriving meaningful insights to pinpoint strengths and areas for improvement.
• Design and conduct effective experiments using A/ B testing and Multi-Armed Bandit strategies, formulating clear hypotheses, and analysing results to inform data-backed decision-making.
• Leverage advanced analytics by applying predictive and prescriptive techniques to forecast trends, personalise user journeys, and guide feature development that aligns with customer and business needs.
• Visualise and communicate insights through impactful dashboards and reports, translating complex findings into actionable recommendations, and aligning stakeholders on key priorities.
• Drive data-informed experience optimisation by employing continuous feedback loops to refine product design, collaborating with cross-functional teams on iterative improvements, and fostering a culture of data-driven innovation to boost user satisfaction and retention.
Entry Requirements
Nil
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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