Analytics & Metrics Articles & Videos

  • Stop Reporting UX Activity and Report Business Outcomes

    UX teams should report business outcomes — not activity or UX metrics — to show impact on revenue, cost, risk, speed, retention, and to secure resources.

  • Your New UX Habit: Establishing Baselines for Impact

    Gather baseline metrics before starting a project so your team can demonstrate its impact.

  • Using RAS to Guide UX Research Resource Allocation and Strategy

    RAS helps managers allocate resources based on actual impact, shifting focus from outputs to outcomes and enabling data-driven UX strategies.

  • Tracking Adoption of Research Recommendations: The Recommendation-Adoption Score

    Use the RAS (Recommendation-Adoption Score) to track how much research value reaches your user.

  • Aligning UX Metrics with Organizational Goals: A Workshop Guide

    UX teams often track the wrong metrics or too many metrics. This workshop aligns UX measurement with organizational goals to show impact that truly matters.

  • Product & UX Glossary

    Use this glossary to quickly clarify key terms and concepts related to product management and UX.

  • A/B Testing 101

    A/B tests incrementally improve the user experience of a product while effectively reaching business goals.

  • Macro vs. Micro Conversions

    Macro conversions are desired user actions that directly contribute to your business's primary goals. In contrast, micro conversions are user actions that precede macro conversions and occur more frequently.

  • Net Promoter Score: What a Customer-Relations Metric Can Tell You About Your User Experience

    NPS is a loyalty metric that correlates well with perception of usability, is easy to understand and administer, but has limitations for understanding and evaluating UX when used in isolation.

  • Cookie Permissions 101

    Cookie permissions need to follow the law and strike the balance between respecting user privacy and being user-friendly.

  • Confounding Variables in Quantitative Studies

    Confounding variables interfere with quantitative studies, leading to inaccurate results. Avoid introducing such variables by randomizing your study’s conditions and keeping your research questions focused.

  • Quantitative UX: Glossary

    Use this glossary to quickly clarify key terms and concepts related to quantitative user studies.

  • Product-Led Growth and UX

    Product-led growth is a try-before-you-buy business strategy. Successful product-led growth relies on strong product utility and usability.

  • CASTLE Framework for Productivity/Workplace Applications

    The HEART framework is great for B2C products but is lacking for workplace applications where users cannot choose the product. CASTLE offers a complementary assessment framework for UX that focuses on the needs of internal product teams.

  • Understanding User Pathways in Analytics

    While analytics cannot be the only source of data about user journeys, path reports can provide insights about potential issues, typical navigation routes, and the content that users interact with right before key actions.

  • When to Use Which User-Experience Research Methods

    To help you know when to use which user-research method, 20 methods are mapped across 3 dimensions and over time within a typical product-development process.

  • Recognize Strategic Opportunities with Long-Tail Data

    Be a strategic thinker by recognizing opportunities at scale with seemingly small and insignificant data.

  • Prioritize Quantitative Data with the Pareto Principle

    Prioritize the 20% of your website or app responsible for 80% of a critical metric to generate substantial improvements for less effort.

  • Why You Cannot Trust Numbers from Qualitative Usability Studies

    Qualitative usability studies have few users and variable protocol; numbers obtained from such studies are likely to poorly reflect the true behavior of your population due to large measurement errors.

  • Triangulation: Get Better Research Results by Using Multiple UX Methods

    Diversifying user research methods ensures more reliable, valid results by considering multiple ways of collecting and interpreting data.