Khizrum Ahmed’s Post

Improved Decision Making for Ride hailing! Currently, there are only 2 parameters provided to a customer at the time of accepting a ride: 1. Price 2. Distance These 2 are apparently very critical, but we can include more data points. The one that specifically comes to my mind is Average Speed. An office worker, looking to reach the office early, would require a partner with a higher average speed. An aged customer, who is looking for a safe and convenient ride, would be looking for a partner going at a more leisurely pace. Therefore for the above 2 personas, the Average speed as a parameter can directly impact their experience and decision making. Now the challenges for it, would be that how do you standardize average speeds, considering all types of roads and traffic around. I would track speeds of partners at open roads during no rush hours as a standardizing tactic, but apparently there can be better ways to do it. The bigger quandary would be that a user could complain about the speed of partner during traffic jams, as the average speed wouldn't be equal to the speed of this specific journey. This can be solved through messaging, where you can communicate with the customer that this feature is mainly an indicator but not a promise. All of this will be subject to testing, where you can try this with a cohort of x users. As a counter metric, I'd see how many users were shown this feature, and how many that were rated low, had Average speed disparity being the main reason. If successful, this leads service providers the ability to provide a more personalized experience, which could open doors for them to set premium rates with these offerings, as price alone wouldn't be the main point of decision making. Indrive recently introduced a feature, where you could set a price at which the ride gets automatically accepted. I think down the road, if we introduce more similar data points then automation with a user's own decision logic will become even more critical. inDrive Uber Careem Bykea Yango Lyft Gojek Grab

Mohammad Taimoor Khan

Métier for Transforming Businesses | Management Consultant | Strategy Expert | 2x Startup Founder | 20+ years of management exp.

5mo

All of these ride hailing businesses have so many data points they can work on that it's mind boggling. They'd rather score the customer for that one ride and lack the long-term view. Careem had it in them in the early days but then lost track.

To view or add a comment, sign in

Explore topics