"Looking into licensing data for users to match with the validity of their plans , to set up reporting okr's and metrics from the ground up and future problem sculpting for future feature additions
I developed the metrics from the existing data tables , with uniform interpretation for datasets used across teams, keeping the modifications done in alignment with the requirements of the stakeholders.
Hypotheses for licensing metrics was laid out in a defined manner where it was feasible to cherry"
Aishwarya J. - "Looking into licensing data for users to match with the validity of their plans , to set up reporting okr's and metrics from the ground up and future problem sculpting for future feature additions
I developed the metrics from the existing data tables , with uniform interpretation for datasets used across teams, keeping the modifications done in alignment with the requirements of the stakeholders.
Hypotheses for licensing metrics was laid out in a defined manner where it was feasible to cherry"See full answer
"Clarification question: How many subscription plans are offered by Tinder ?
If there is more than one subscription plan, then we need to ask is the fluctuation happening across all plans or in a particular one ?
Assumption: Let's say lower priced subscription plan is showing the most fluctuation and there are only two types of plans
In this subscription plan which age group is showing the most fluctuation (18-24,25-30, 30+ etc) ?
Is there any seasonality trend observed (eg: placemen"
Srijita P. - "Clarification question: How many subscription plans are offered by Tinder ?
If there is more than one subscription plan, then we need to ask is the fluctuation happening across all plans or in a particular one ?
Assumption: Let's say lower priced subscription plan is showing the most fluctuation and there are only two types of plans
In this subscription plan which age group is showing the most fluctuation (18-24,25-30, 30+ etc) ?
Is there any seasonality trend observed (eg: placemen"See full answer
"I would recognize the factors that are causing the interference. Then i will use tools like smoothing techniques or algorithms (e.g Kalman filters for time series) which can help isolate genuine trends from noise. In testing i would employ techniqu es like A/B testing to measure interference from unrelated factors and use techniques like regression analysis to seperate the relevant factors from noise."
Trusha M. - "I would recognize the factors that are causing the interference. Then i will use tools like smoothing techniques or algorithms (e.g Kalman filters for time series) which can help isolate genuine trends from noise. In testing i would employ techniqu es like A/B testing to measure interference from unrelated factors and use techniques like regression analysis to seperate the relevant factors from noise."See full answer
"This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer.
Unfortunately, there's no formula for technical questions, but some general tips are:
Use analogies when you can
Break your solution into clear, bite-size steps
Don't be afraid to use examples to b"
Exponent - "This is a Technical question. It tests your ability to understand high level technical concepts. Even though your job won't have any coding involved, you'll still need to understand these concepts. Being able to cover all these topics with clarity communicates confidence in your interviewer.
Unfortunately, there's no formula for technical questions, but some general tips are:
Use analogies when you can
Break your solution into clear, bite-size steps
Don't be afraid to use examples to b"See full answer
Product Manager
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