Tell me about a time you had to manage stakeholders and manage risks.
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I will use STAR methodology to answer this question:
Situation- We were in the process of designing a subscription pricing model for my product. The success of this model is dependent on the right balance of SVOD customers who with a small subscription fee will build retention into the system and larger number of AVOD subscribers who will help monetize the app through ad revenue
Task- Create pricing mechanism that intentionally creates difficulties in signing up for subscriptions so that we have a higher number of free ad supported user and at the same time not kill subscriptions all together which will disincentivize advertisers choosing the product
Action- Had to work with the following stakeholders to design the model
1) Account onboarding team
2) Ad revenue analytics team
3) Development and technical architecture
4) Marketing and Sales
5) Business teams
Once the model was finalized, it was experimented while the product was in beta phase for 2 months
Result- The experimentation helped us validate lots of assumptions with customer sign up process and ad monetization. It helped fine tune the subscription process thereby reducing the risk of a failed pricing model during product launch
Situation- We were in the process of designing a subscription pricing model for my product. The success of this model is dependent on the right balance of SVOD customers who with a small subscription fee will build retention into the system and larger number of AVOD subscribers who will help monetize the app through ad revenue
Task- Create pricing mechanism that intentionally creates difficulties in signing up for subscriptions so that we have a higher number of free ad supported user and at the same time not kill subscriptions all together which will disincentivize advertisers choosing the product
Action- Had to work with the following stakeholders to design the model
1) Account onboarding team
2) Ad revenue analytics team
3) Development and technical architecture
4) Marketing and Sales
5) Business teams
Once the model was finalized, it was experimented while the product was in beta phase for 2 months
Result- The experimentation helped us validate lots of assumptions with customer sign up process and ad monetization. It helped fine tune the subscription process thereby reducing the risk of a failed pricing model during product launch
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