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  • redBus: Art and Science of Product Management

    The PM begins with exploring the problem space, gaining an understanding of the larger context of the problem, namely the online bus travel sector in India and the challenges faced by the industry players. Then he conducts a deeper investigation of the actual user behavior data on redBus using Product Analytics (specifically, the method of funnel analysis) to identify the major scenarios when the platform users were not completing the ticket purchase. The PM uncovers that the users searching for bus tickets on the shorter routes seemed to drop off significantly more just after looking at the available bus options, as compared to the longer routes. Next, the PM formulates hypotheses to examine the reasons behind this intriguing behavior of short route travelers, and tests them using customers interactions and field studies. From the rigorous user research and hypotheses testing, the PM could confirm three categories of expectations of short route travelers which were not being fully met by the current features of the platform. Armed with this clarity about the problem space, the PM moves into the solution space, ideating feature solutions for the users. With inputs from various stakeholders, he finally designs a platform feature called 'Open Ticket' that could fulfill the three needs of their short route users. Then he worked with the engineering team to develop and launch the MVP of the solution using the Agile Scrum methodology. Finally, the post-launch user behavior was tracked to validate the efficacy of the Open Ticket solution. Unfortunately, the designed solution did not work as per expectations, leaving the PM with a decision dilemma that is critical in lean startups, i.e., whether to persevere with the Open Ticket idea by trying to fix it, or drop it completely and pivot to a new idea?
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