CategoryProduct Analytics

Top 7 Data Analysis Techniques for Product Managers

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Data analysis is the process of examining large datasets to uncover trends, patterns, and relationships. It helps businesses and product teams understand customer and user behavior, identify needs, and make data-driven decisions. Teams can tailor their products and services by analyzing customer data, informing marketing strategies, and enhancing customer satisfaction. Data analysis is crucial...

Data-Driven Decisions: How To Leverage A/B Testing for Successful Product Optimization?

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In 2020, Brian Halligan, the co-founder of Hubspot and a senior lecturer at MIT, wrote an article in MIT Sloan Management Review describing the impact of experience design on the success of products. To design such disruptive experiences, product managers must adopt a systematic and evidence-based approach to complement great ideas and creative intuitions through the culture of experimentation...

Introduction To Product Analytics For Better Insights Leading To Growth

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One of the characteristics of modern-day product management is the use of feedback loops in product design and development. The shorter frequency to obtain the feedback, integrate that feedback into the product, and then again get the feedback for the improved versions has enabled product managers and teams to build better products faster and with fewer resources. Product Analytics is a function...

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