Data Analysis - Discovering, interpreting, and communicating significant and meaningful patterns in data., Data - Facts and statistics that are collected for reference or analysis., Analytics - Valuable information stemming from systematic analysis of data and statistics., Optimization - The action of constructing or evaluating something (like a design, system, or decision) to be as efficient, effective, and functional as possible while minimizing the resources used., Issue indication - Notifying the team of possible issues in trying to achieve the project goals., Investigation - Identifying the roots of possible problems., Triangulation - Using data to justify qualitative research., Health Monitoring - Identify goals, signals, and metrics to develop an ongoing measurement plan to monitor a website’s or app’s ability to meet specific goals., Experimentation - Conducting A/B and multivariate tests to improve results through different design and content variations., Project Metrics - Choose metrics that are specific to your project goals and can be measured before and after implementation to ensure quality deliverables., Measurement Plan - Tracks Key Performance Indicators that indicate if there are UX issues., Key Performance Indicators - Indicators of progress toward an intended result., Goals/macro conversions - The actions that users complete that represent the primary objective of your website., Desirable actions/micro conversions - Smaller actions that, when taken as a whole, support reaching your goal; small steps users take to show initial interest in your brand or product., Web metrics - These are web-analytics data that indicate whether these desirable actions occur; they allow UXers to identify any potential issues.,
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Analytics
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CTE
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