How to Calculate KPIs from Raw Data?
An up-and-coming social media platform based in Hyderabad, known for its innovative approach to content sharing, is looking to refine its growth strategy by leveraging user data. The platform has been collecting extensive raw data, including user demographics, content engagement details, session lengths, and more. The growth team is now focused on transforming this data into actionable KPIs to guide decisions related to content, marketing, and overall user experience.
Overall Task:
The growth team's primary objective is to develop a detailed dashboard displaying various KPIs that provide insights into user behavior, content performance, and platform growth. To achieve this, they need to systematically transform the raw data using various data transformation techniques and then calculate specific KPIs relevant to their strategic objectives.
Questions:- Question 1: Given the diverse nature of data sources, which data transformation technique should the team apply first to standardize user demographic information and session data for comparative analysis?
- Question 2: To understand user engagement with different types of content, how should the team aggregate and summarize the raw data on likes, shares, and comments?
- Question 3: Considering the goal of tracking user retention and churn rates, what process should the team follow to normalize user activity metrics across various time periods?
- Question 4: When combining the transformed user demographic data with content engagement metrics, which technique will allow the team to create a comprehensive view of user behavior and content performance?
- Question 5: Finally, how should the team ensure that the calculated KPIs remain relevant and accurate over time, considering the dynamic nature of user data and platform changes?