Running a data-driven product organisation with Andrew Dillon, Skedulo | Product Talks

Andrew is passionate about clean interfaces, great product, and delighting users. Currently, he is working as a chief product officer at skedulo, a platform for intelligent mobile workforce management and operating a team of 35 product managers based out of Australia.
We invited him for a Product Talk on “Running a data-driven product organization”.
He says the idea of running a data-driven product organization came when he was having a conversation with a product manager at fore school around data-driven product management.
Andrew started with the very basic term “Character of Data”. He says as we see consumer companies grow from a team of 4 people to a global organization they go through a unique journey of understanding and using data to reach millions of users.
The best way to utilize data is to analyze your ‘user data’ i.e. how your user is using the product and how can you optimize the product according to his needs. Data can tell you anything about how the user is utilizing your product or what value your product is adding to the user’s everyday life. It is a careful analysis of this historical data which helps your product grow.
He adds, data can tell us what areas of the product are being used the most and how, i.e. what purpose are they serving for the user, highlighting the KPIs, and most importantly which feature sucks the most.
However, he says, data isn’t everything. It cannot tell us what strategy we need to adopt next, when to make larger bets or weather you’ve hit relative maxima and lot more things like that.

We asked, if there are any key indicators he would suggest that can be used to measure growth?
Andrew says, there are 3 major factors besides many others that can be used to measure growth. First, by keeping track of users/customers i.e. how many users you have and where are the coming from. Second, retention, which essentially means users revisiting the product within 48 hrs, a week, etc. depending upon app intervals. Third, the k-factor i.e. how many invites are you getting from each user.
Further, he moved towards the other factors that drive an organisations i.e. transactions /engagements depending on your category, conversion funnel, marketing efforts, etc.
We then moved on to the discussion around Metrics and which is more important- Core v/s Feature metrics or Insights: Trends v/s Precision; Multivariate testing and a bit about machine learning.
To conclude Andrew says, the very best Product Managers  are sometimes also wrong, the best way to learn is to keep experimenting and re-defining your success!
Check our this exclusive product takh with Andrew to know more about running a data driven product organization.

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