Data set attached here: Elisa Petersen | Tableau Public
Recommendations:
Leadership should evaluate the possibility that there are opportunities to focus resources to maximize profit. Using supply and demand, offering incentives during non-peak times - while increasing the variety of options available - expands leisure trips.
The analysis also showed the customers over 115 years of age hold on to the bikes the longest. This suggests that there needs to be a way to confirm identity. Those bikes are likely stolen for periods of time, and are not found and returned until many hours (or days) later. Citi Bike is losing revenue by not establishing better anti-fraud measures to protect their assets
What outcomes do you expect to achieve through these feature recommendations?
Revenue per bike/station
Median age/hour of use
Recommendations:
Leadership should evaluate the possibility that there are opportunities to focus resources to maximize profit. Using supply and demand, offering incentives during non-peak times - while increasing the variety of options available - expands leisure trips.
The analysis also showed the customers over 115 years of age hold on to the bikes the longest. This suggests that there needs to be a way to confirm identity. Those bikes are likely stolen for periods of time, and are not found and returned until many hours (or days) later. Citi Bike is losing revenue by not establishing better anti-fraud measures to protect their assets
- Why do you think these recommendations will help Citi Bike customers?
- Evaluating the ‘peak’ usage times and locations allows leadership to provide a greater supply and variety of bikes targeted to meet those needs. Details here:
- Determining whether there are fraudulent accounts based on dates of birth for users can help customers save money on stolen bikes and reduce costs. Details here:
- How do your recommended features connect to the data you analyzed?
- The data demonstrated that there are a number of people who have established accounts and they are using the bikes for the longest period of time, but exceed 115 years in age.
- The analysis also showed a correlation between per capita income and station usage on the hot spot map. However, the peak usage times seem to suggest that the bike use is primarily for commute purposes.
What outcomes do you expect to achieve through these feature recommendations?
- Reducing fraud and increasing revenue
What KPIs would you use to measure the success of these recommendations?
Revenue per bike/station
Median age/hour of use
Every project is a unique experience, full of lessons and memories.” |
Some key tenets in product management are:
Collecting information from various stakeholders and compiling that information into a product solution. Product managers work closely with leadership, software engineers, designers and customers. Balancing the differing needs of each group for a shared outcome. |
