I spoke in vodQA at ThoughtWorks, Pune on "Measuring Consumer Quality - the Missing Feedback Loop".
This talk address the why and how from my earlier blog post on "Understanding, Measuring and Building Consumer Quality". I recommend you read that first, before going through the slides and video for this talk.
While there is a lot of emphasis on the processes and practices side, one aspect that is still spoken about "loosely" - is the feedback loop from your end-users to making better decisions.
SO, What is this feedback loop? Is it a myth? How do you measure it? Is there a "magic" formula to understand this data received? How to you add value to your product using this data?
In this interactive session, we will use a case study of a B2C entertainment-domain product (having millions of consumers) as an example to understand and also answer the following questions:
This talk address the why and how from my earlier blog post on "Understanding, Measuring and Building Consumer Quality". I recommend you read that first, before going through the slides and video for this talk.
Abstract:
How to build a good quality product is not a new topic. Proper usage of methodologies, processes, practices, collaboration techniques can yield amazing results for the team, the organisation, and for the end-users of your product.While there is a lot of emphasis on the processes and practices side, one aspect that is still spoken about "loosely" - is the feedback loop from your end-users to making better decisions.
SO, What is this feedback loop? Is it a myth? How do you measure it? Is there a "magic" formula to understand this data received? How to you add value to your product using this data?
In this interactive session, we will use a case study of a B2C entertainment-domain product (having millions of consumers) as an example to understand and also answer the following questions:
- The importance of knowing your Consumers
- How do you know your product is working well?
- How do you know your Consumers are engaged with your product?
- Can you draw inferences and patterns from the data to reach of point of being able to make predictions on Consumer behaviour, before making any code change?
Video:
Pictures:
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