Many good product and project teams try to understand the “whys” when they’re asked to build a new feature. But, how do we know whether our reasons are actually good enough?

Are we tracking customer behaviour and feedback to get more insights into building the “right product”?

Do we have analytics? Are we monitoring issues/crashes and user suggestions? Are we automating these processes?

In this talk, we will share how we did our analysis in order to get better insights for building the right product and adding more value to our customers. We will share our experience, challenges, etc. We will also talk about a small utility (Sentiment Analyser) we developed which helps us to generate meaningful reports from user's feedback on daily basis.

We will also cover how we’ve automated analytics and understanding the sentiments of our customers.

There will be a demo for Analytics Automation and Sentiment Analyser.

 
 

Outline/Structure of the Demonstration

  • Understanding Problem Statements
  • How can we have insights about features before they are added?
  • How can we understand user sentiments better in order to design the right product?
  • How do we automate them?
  • Demo of the solutions (Analytics Automation and Sentiment Analyser)

Learning Outcome

  • Understanding benefits of analytics and testing them
  • Understanding value of customer feedback
  • Adding a perspective in testing mindset to value analytics and user feedback
  • Figure out bugs and crashes from feedback
  • Using reports from Sentiment Analyzer to improve product

Target Audience

Anyone (QAs, DEVs, BAs, POs) who is interested in making their product better by understanding customer behaviour, their feedback and needs.

schedule Submitted 2 years ago

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