Analytics Tools Lessons
Explore bite-sized “Analytics Tools” lessons designed to build real skills in just 5 minutes a day. Want more? Browse all search results
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Intro to UI Cursors
Learn about the different types of cursors and how to effectively incorporate the right kind into your UI
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Basics of HTML Attributes
Uncover the basics of HTML attributes, the additional properties that can be applied to HTML elements to enhance their functionality and appearance
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Showing Progress
Learn how to correctly use progress trackers to enhance user experience
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Integrating AI Tools Into Your Design Workflow
Learn how to smoothly integrate AI tools into your design workflow
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Entering a Promo Code
Explore the best practices for promoting and applying promo codes to create a seamless and enjoyable experience for users
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Value Proposition & Problem Selection
Identify where AI truly adds value and choose between augmentation and automation to maximize user benefits.
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Gamification Mechanics & Elements
Discover how tailored gamification mechanics can boost user engagement and make your product more captivating
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Utility Navigation
Learn how to enhance user experience by effectively designing utility navigation tools
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Gamification Design Frameworks
Explore the different frameworks for implementing gamification elements within your UI effectively
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The Anatomy of Good (And Bad) Metrics
Turn abstract goals into measurements that actually matter for your product's success
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Implementing Early Warning Systems
Build predictive systems to identify at-risk customers before they churn.
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Predictive Analytics and Machine Learning for Churn
Learn to predict and prevent customer churn using machine learning and data analytics.
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Comprehensive Research Methods
Uncover critical insights by researching both end users and implementation teams.
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Mastering Email and In-App Messaging for Retention
Craft compelling email and in-app messages to boost user engagement and retention.
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Design Audit Preparation Phase
Build systematic frameworks for design audit documentation and data collection.
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OKRs, KPIs, and North Star Metrics
Transform business goals into measurable progress with strategic metric frameworks
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Building Confidence With Data
Convert data anxiety into analytical confidence through practical techniques
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Influence Through Data
Simplify organizational decision-making by leveraging metrics that tell compelling stories and drive alignment
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Measuring Success
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Personalization Strategies to Reduce Churn
Craft tailored user experiences that keep customers engaged and loyal.
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Measuring AI UX Success & Governance
Implement measurement frameworks, governance processes, and compliance guidelines for responsible AI experiences.
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A/B Testing Churn Reduction Strategies
Master A/B testing to find proven retention solutions.
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Defining AI Success Metrics
Define metrics that balance technical performance with real user value and long-term impact.
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Data Analysis with AI
Master the art of turning data analysis requests into clear AI prompts that deliver statistical insights, visualizations, and actionable recommendations.
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Fiscal and Budget Considerations
Master government fiscal cycles to plan and deliver impactful public sector projects
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Collecting Feedback and Iterating
Learn to collect user feedback and implement data-driven product improvements.
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Designing Sticky Features
Master the techniques to create irresistible product features that keep users coming back for more.
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Best Practices for Onboarding UX
Learn how to create seamless, user-focused onboarding experiences that drive engagement and reduce drop-offs.
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Digging into Data
Learn to spot real patterns in your data and turn numbers into experiments that improve your product.
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Understanding AI Errors
Recognize different types of AI errors and their impact on user experience.
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Managing System Evolution
Learn to guide AI systems through continuous improvement while maintaining user trust and system stability.
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Trust Through Transparency
Master transparency techniques that help users develop appropriate trust in AI systems.
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Interpreting and Exploring Metrics
Transform overwhelming data into actionable insights with interpretation techniques that reveal hidden patterns
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I = Inputs
Learn how to transform raw customer data into actionable journey insights that drive product improvements
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Designing Feedback Mechanisms
Learn to create feedback systems that improve AI performance while enhancing user experience.
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Tooling, Templates, and Tech Stacks
Build practical systems that turn metrics into actionable insights using familiar tools and streamlined templates
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Calibrating User Confidence
Build appropriate user trust through transparency about AI capabilities and limitations.
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Product Metrics & KPIs
Transform product hunches into measurable outcomes by selecting and tracking the metrics that matter most to your business goals
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A/B Testing & Experimentation
Learn how to run controlled experiments to validate product decisions with real user data
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Quantifying Impact
Use core product metrics to ground decisions in evidence and separate meaningful insights from noise.
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Selecting Effective Product Metrics
Choose the right metrics to connect product success with user value and business goals.