Last Mile Connect

Context

There is a major change in the way people commute in Metropolitan cities, after Metro Rail. It bisects the city and cuts down the commute time at almost 1/3rd during the peak hours.

Despite of being engineering marvel, for being build in the shortest span of time, it still needs a higher degree of up-gradation when it comes to availing the service.

This project is done as a design exercise for a specific requirements. The goal of this design project to address few tethering issues faced by metro user.

Design process

Research > Competitive Analysis > Design Strategy > Personas > Task Flow > Wire frame > Work-in-progress

Research Findings – Tethering issues

Reference: https://tiss.edu/uploads/files/End_User_Impact_of_HMR.pdf

Competitive Analysis and Features

Problem to Solve

• End to end service for a journey not available
  • Users not knowing the optimal route to reach their destination using Metro.
  • End to End service is not available. User have to shift to many apps.
• Increased overall journey time
  • Although Metro travel time is less, overall journey time increases due to poor feeder service.
  • Time waste in buying tickets.
  • Users not knowing the status of the trains. Reduce waiting time for train.

My Role

I was individual contributor in this design exercise. Used Adobe XD to create  wire-frame.  

Design Strategy

Personas

Work Flow – Sample

Wire frame Samples

Metrics to Measure

PULSE framework suite well for the app.

• Page views
  • Number of pages viewed by a single user.
  • Features that are accessed most by user
  • Success Rate– The number of participants that successfully completed a task
• Uptime
  • Average % of time user using the app
  • Time-on-Task– The average amount of time it took for participants to complete a task
• Latency
  • Amount of time it takes to transfer data from one service to another.
  • # of user booked feeder service from App
• Seven-day Active Users
  • Number of users who interacted with app in the last seven days.
  • Features that are accessed most by user – to fine tune more
  • # of Errors – The average number of times an error occurred, per participant, while performing a particular task
• Earnings
  • Revenue generated by the app
  • # of users recharged travel card from app

Conclusion – Not yet

Project work-in-progress, will be updated periodically.