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All articles tagged with "Analytics"

10 Total Articles

Designing Useful Measurement Systems

Design useful measurement systems by measuring outcomes not activities, using leading and lagging indicators together, and building in resistance to gaming.

Measurement Bias Explained

Measurement bias: systematic error in data collection distorting results. Selection bias picks wrong samples, observer effects change behavior.

Quantitative vs Qualitative Metrics

Quantitative metrics measure numbers like revenue and time. Qualitative metrics assess quality like feedback and satisfaction. Both are needed together.

What Should Be Measured and Why

Measure what drives outcomes, not what's easy to measure. Focus on outcomes over activities, and use leading indicators to predict future results.

Vanity Metrics vs Meaningful Metrics

Vanity metrics look impressive but don't drive decisions: total users, page views. Meaningful metrics change behavior: active users, retention, revenue.

Why Metrics Often Mislead

Metrics mislead through gaming the numbers, proxy failure not representing what matters, context loss, and aggregation hiding important details.

How Metrics and Measurement Work

Metrics quantify performance. They create visibility, enable improvement through tracking, establish accountability, and drive behavior toward outcomes.