How to take data driven decisions?

How to take data driven decisions?

Jhashank Gupta

Jhashank Gupta

Mobile Product Manager, Zomato

Truly innovative ideas you have won’t come from boring over data but when you are half-asleep in bed, or travelling in a cab or I don’t know maybe just having a cup of tea.

Deep Kalra

This is a difficult question to answer – and I would really like to quote Deep Kalra  from a fireside chat that he and Deepinder recently had at Zomato’s office:

He said something that made sense to me – that the truly innovative ideas you have won’t come from boring over data but when you are half-asleep in bed, or travelling in a cab or I don’t know maybe just having a cup of tea.

Data is very important because it helps you identify where to look. After that I think it is about diving deeper into the problem and coming up with solutions.

Where data helps me the most is in prioritization – you’ve figured out a few problem statements, you have figured out a few solutions for each of the problem statements – now you need to decide what to build.

The framework is simple – Effort vs. Impact. Let me illustrate this using an example.

As a product manager, you have to increase the % of users who sign-up and login on your app.

Case 1 : Problem with sign-up

Some people are dropping off from the email field, you can get a 12% increase in throughput if you make it optional

Case 2 : Problem with phone number already registered

All users encounter an issue where they can’t proceed if their phone number is already registered, this can be resolved for 100% of the users by integrating the SDK.

Prima facie, Case 2 seems to be a much bigger challenge, but when you consider:

  • Case 2 impacts only 3% users whereas Case 1 impacts 40% users
  • Case 1 can be fixed by a small backend change

You realise how it can have a much greater impact on your metrics – this is where the data helps.

Listen to the full episode of Jhashank’s podcast interview on his journey as product manager.

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