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Feature Rollout Adoption Analysis A g n a r J u a n J a n i t r a | M u c h a m m a d R i z k y A n u g r a h | S a t y a K r i s m a t a m a | W a h y u Z u l i a n s a h | Y u n i a n t i K h o t i m a h
Outlines Background Information Specific question to be answered App-flow before & after Popularity Impact of New Feature Additional Feature Summary Recommendation
Background Information Company's Problem The Product Manager wants to build a feature for solving convertion rate and increasing the squad metrics. Therefore in Q4 2020, the product team did an experiment to add new features. With these new features, our users can bypass filling the address, delivery services, and payment method (after choosing their default value for each one). Therefore, we as the experts (data analysts) were given the task to evaluate the impact of the experiments that have been carried out and give several recommendations that can be done for the continuation of adding these features.
Specific question to be answered: What is the current and updated app flow after the implementation? How popular was the feature? Who is using it and how much are they using it? What are the improved steps and or other improvements from the implemented feature? Please provide an evaluation of the features that have been implemented by the company. What other feature that could be improved which does not rely / force to shift user behavior Please describe whether the recommended feature really solves the issue? What metrics do we need to choose to evaluate the adoption of the chosen feature? What kind of data needs to be tracked by the backend engineering team? Please give your summarized evaluation and summarized recommendation 1. 2. 3. 4. 5. 6. 7.
Roll-out updated app flow after the implementation The difference between the old roll-out and the new one, feature choose adress, choose delivery sevices and change payment method lies on the new bypass system

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