We developed an app offering a taxi driver to plan his day as efficiently as possible. It calculates routes with increased client appearance dynamically, which the driver can select and drive along. With this app long waiting periods will be avoided and better day planning achieved.
The system shows promising places by evaluating the following input:
events, cancellation of local traffic, business flights, competing taxis, weather, applied load of mobile networks, rush hours (central station, airport), credit-worthiness and holidays and vacation. The driver chooses proposed targets and is led past those places.
The main problems of taxi drivers are the long waiting periods and that they cannot “hunt” clients proactively, being damned to hope passively for agency calls or occasional customers. Our App solves this problem, having the potential to change the market’s power structure for the benefit of the driver.
Various analyses (driver’s log, personal favorite targets) as well as the possibility to plan routes for the next days (incl. points-of-interest, e.g. low priced filling stations) are beneficial for other industries as well. The identification of people accumulations offers meaningful applications for emergency planning or mobile points of sale, as well as for the organisation of street interviews in market research or journalism in general.
First we did a recap of our research findings with the help of different post-its which segmented them in problems, facts and solutions. We found topics to group the findings and iterated the process to create an affinity diagram. Finally it became obvious that the main problem for the taxi drivers was to be at the right place at the right time to pick up clients – it’s a matter of luck. After that we did a task analysis and detected that a taxi driver plays a passive role during the client acquisition. Actually he waits and waits and waits most of his time.
After we located the problems we worked on a scenario to present our concept clearly, still developing new ideas. We picked out the main stages and created a storyboard with six frames.
The clue of our idea is to turn the taxi driver’s role from reactive to proactive by driving to promising event endings while giving him the possibility to plan his day efficiently. We call it “catch-a-client”.
Our main idea was to go to hospital for doing our field study, but it was quite difficult to get a permission. Before the initial presentation our research request was still unconfirmed.
Being afraid of not getting our permission in time we prepared another target group, taxi drivers, as plan B.
Still not having any confirmation from the hospital on Monday we decided to research the taxi drivers target group at the Central Station and Stachus. We interviewed six taxi drivers and learned much about their daily routine and their problems. Ironically, just after having finished our field study we received a positive answer from the hospital.
On the second day, we went to the laboratory of the Schön Klinikum in Harlaching, where we spent a whole day from 8am to 4pm with three friendly medical technical assistants and experienced their workaday life. So we got an overview of what they do with human blood and with which complexity it is connected. To examine blood or to prepare blood for operations a lot of machines are used.
It was very difficult for us to decide which topic to take, because we had ideas for both. Equipped with tons of written, visual and audible material we are looking forward to learn Kalle’s methods to analyze it.