Good product and project teams try to understand a range of different things when they’re asked to analyze product features. But how do they know whether their analytics are actually good enough? Are they tracking user's activity and feedback about the feature/product? Do they have analytics in place for all the product’s features? How are they validating that key/value is set correctly for various events in analytics while feature development? How about automating these processes with day-to-day testing?
In this talk, Rohit will share his experiences and challenges. He will show how his team did their analysis in order to get better insights for building the right product and adding more value to their customers. Rohit will cover how his organisation automated analytics and the value they got from integrating it with functional tests and CI. He’ll talk about – and demonstrate – their Sentiment Analyser utility. Sentiment Analyser was developed internally to generate meaningful daily reports from user’s feedback, and helps to figure out how the latest release affected production issues.
KEY TAKEAWAYS
- How testers can use analytics and consumer feedback to improve the product
- How his team figures out out bugs and crashes from feedback and swiftly arrives at a fix
- Understanding the benefits of analytics and how to test them
