Kahoot!, an online learning platform used by schools and companies across the globe, is an excellent example of empowering internal teams to answer essential questions that have a cross-functional impact.
During the pandemic, they saw explosive growth, hosting over 300 million games with over 1.8 billion participants in over 200 countries. This explosive growth resulted in a massive, comprehensive data set. Teams need access to this data to answer their growing questions.
The product managers and engineers could use forecasting and anomaly detection in a self-service environment to find insights about product performance when and where they needed it. These self-service insights meant that the data team had an 80% reduction in data requests and could focus all of their time on more complex queries, including building a new customer churn model that they tested with Amplitude.
Because of the self-service insights and reallocation of the data team's time they reduced customer churn by 20%.
Click below to review the highlights from this story!
Insight: Build self-service forecasting and anomaly detection so product managers and engineers can quickly find something broken without data analysts.
Action: The resulting 80% reduction in the data team's work allowed them to build a new customer churn model and test it with Amplitude.
Outcome: New model reduced customer churn by 20%.
Now, it’s your turn. Share your expertise in the comments. We know that:
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Digital product-led companies must serve the data-on-demand expectations of their cross functional teams.
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Data availability, reliability, and self-service enablement are a must.
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These are foundational to standardize data interpretation and build data trust.
How comfortable are your teams– especially product, engineering, and marketing– with sharing data and insights across functions to collaborate and understand its impact? We can’t wait to share your approach!
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