Introduction
Products succeed when organizations understand how customers use them, where value is created, and what improvements matter most. Product Analytics for Business Strategy helps professionals use product-related data to guide strategic decisions around user experience, growth, retention, and innovation. The course focuses on translating product data into actionable insight for business, product, and cross-functional leadership teams.
Course Objectives
- Understand how product analytics supports business strategy
- Use product data to evaluate engagement and performance
- Identify opportunities for improvement and growth
- Link product behavior to customer and business outcomes
- Strengthen collaboration across product, marketing, and operations
- Support strategic product decisions with evidence
Target Audience
- Product managers and product team leaders
- Business leaders involved in product decisions
- Growth and customer experience professionals
- Analysts supporting product and digital teams
- Marketing and operations professionals working with product data
- Executives overseeing product portfolios or platforms
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
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- Day 1: Foundations of Product Analytics• What product analytics measures and why it matters
• Key product data sources and user events
• The relationship between product use and business value
• Core product metrics in digital and service environments
• Examples of product analytics in strategic decisions0 - Day 2: Measuring Product Performance• Adoption, activation, engagement, and retention metrics
• Funnels, drop-off points, and usage patterns
• Tracking feature performance and customer behavior
• Selecting product KPIs that matter
• Workshop: Reviewing product performance metrics0 - Day 3: Turning Product Data into Insight• Identifying opportunities from user behavior
• Understanding friction points and unmet needs
• Linking customer segments to product use
• Prioritizing product improvements with evidence
• Practical activity: Diagnosing a product growth challenge0 - Day 4: Product Analytics for Strategic Decisions• Using data to support roadmap choices
• Balancing growth, usability, and profitability
• Supporting experimentation and feature evaluation
• Collaborating across product, marketing, and operations
• Case study: Strategic product decisions shaped by analytics0 - Day 5: Building a Product Analytics Practice• Creating reporting routines for product teams
• Improving data quality and measurement consistency
• Embedding product insight into business planning
• Developing a roadmap for product analytics maturity
• Final group project: Presenting a product analytics strategy0
Instructor
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