In our user research process we encountered among other potential needs for improvement (e.g. indoor navigation) that the functionality of the MVG Info Point at the Münchner Freiheit station is still restricted. Therefore we asked ourselves how we might add further functionality and improve the interaction. After various storyboards we decided upon adding a navigation feature and supporting smartphone users without data volume. Shortly thereafter we created a final storyboard combining our key-ideas as preparation for the video prototype.
The story is about a foreigner who gets lost on his way to the Deutsches Museum in Munich. Due to the lack of data volume his smartphone fails to be of any use. Luckily he discovers the Info Point which offers a navigation service including an option to send the selected route directions to a connected phone. He compares the different travel options, decides to take public transportation and transfers the instructions. With the help of the newly acquired mobile turn-by-turn directions he arrives at his destination.
After a week of extensive user research and analysis, we managed to extract the main problems in food delivery companies, that use bikes. We came to the conclusion that the most painful problem is to keep food undamaged during delivery.
Often the food arrives in bad condition, especially soup, because delivering food on a bike is sometimes literally a rocky road.
Given this information, we choose to develop a concept to improve food packaging. We explored different solutions, including a gyroscope, balloons, bubble wrap, but we choose the easiest(and probably cheapest) option. We decided on using inflated plastic bags to prevent the food containers from moving in the bike delivery box.
Our final storyboard(and video prototype) is an fantasy interpretetion of the delivery flow, showing how much effort the delivery guy puts into it, and highlighting how important it is to make this process easier and more succesful with our concept.
Our team did extensive research on transportation providers in a social setting. After careful analysis of the data acquired, we came to the conclusion, that all services share one common problem: How to properly acquire, organize and use data that is needed for everyday business.
Our storyboard focuses on the dangers that might arise from paper-based organisation of important information, where important facts might get lost in transit. While in real life not every incident of information lost in transit does not have to prove to be fatal, it still could be – this is reason we also portray it accordingly.
Subsequently, we will turn back the time – in a literal and a figurative sense: We go back in time and explore the world with a proper data-management-system, here dubbed “WeCare”, that does not only unclutter the administrative agent’s desk but also saves the protagonist’s wife from becoming a widow – all with the power of a Customer Relationship Management-system, that offers not only a complete overview for the scheduler in the office but also mobile apps for the driving staff and the customers involved.
During our research analysis we discovered the potential to improve the flow of relevant information regarding Rail Replacement or Emergency Bus Services.
As we found out that the arrangement of Emergency Bus Services through the public service providers MVG or DB is reliant on various stakeholders and always takes an inevitable amount of time, we decided to zero in on the stranded customers. Most importantly we identified the immediate need for reorientation towards an alternative route in order to arrive at one’s destination on time.
Our final concept adresses exactly this particular issue. Taking advantage of the omnipresence of smartphones and mobile internet access, we developed a service idea which aims at bringing stranded people with the same travelling direction together through an app, enabling them to find better or less costly options to reach their destinations. For instance while a taxi can seem too expensive to take by oneself, sharing the expenses with two other commuters might just be worth it.
In the course of interviewing and active user research we came across many issues in the delivery process of the companies. During the brainstorming phase we sorted information about the problems and summarized. We came to the conclusion that sudden shortage of drivers during peak demand or accidents in the delivery process are a frequent problem in the business. Our concept solves this issue by offering delivery companies the ability to rent external drivers for short periods. This prevents long delivery times for the customer caused by events like football games or absence of a driver.
Our final sketches for the video concept describe the workflow of a pizza driver using our software solution. After a car break down the driver calls his boss who is furious about the unforseen incident. First overstrained he discovers our app which he can use to immedietly rent an extra driver. The new driver sees the message on his phone, drives to the accident and prevents personal shortage so the pizzas can be delivered on time.
The user research lead us to the final question of how we might use information on a destination to recommend the best transportation service. Our service utilizes real time detection of traffic flow and free parking spaces provided by shared data of moving vehicles scanning the urban area. This information is transferred to our database and combined with the information given by the user. Preferences on costs and time limits, as well as specific needs relating to carried luggage or personal constraints let us compute an optimal route and possibly a combination of car sharing and other individual transportation services (taxis etc.). The required infrastructure (e.g. parking spaces) can be reserved and the sequential deployment of different services is organized through the app. An exemplary user story would be a user with luggage traveling to a city center by using a car sharing service to an area with available parking space. The user then switches to a taxi service to accomplish the last part of the trip where parking would be impossible. The journey will be cost efficient, no time will be wasted by a lack of parking possibilities and the user’s specific needs will be addressed.
After a week of hard work, we finally came up with an idea to change the world’s view on drones.
First we analysed the insights given by our user research. The problems the drone industry is facing, like the negative image and the technical limitations, were extracted from those insights.
We decided to improve the bad public image of drones caused by news on bombarding and spionage. To overcome that issue several idea generation techniques (such as brainwriting, brainstorming, 8-3-5-Method and analogies) were applied.
This whole process led us to the following solution: to enforce the use of drones in public interest areas such as medical material transportation and package delivery. Also, we decided that renaming drones into more attractive terms, like “Kolibri”, would raise the public acceptance.
The next step in our project is the recording of a video prototype showing the use of drones in organ transportation for emergency transplants.
“If we were in a science fiction film, we’d use teleports or drones to send the products to our customers.”
Sounds brilliant – doesn’t it?
We, team 2, like to open our first blog post with this quote from one of our interviews.
This reflects the fundamental set of problems we discovered during our research at the Munich delivery services Alkoport, Avanti and Staro Pizza. The most critical aspect undoubtably is time! It is essential that pizza is delivered warm and valuable. The customer is king – no he’s emperor!
Our picture compilation points that out impressively: There are a lot of different ways to deliver food but they all pursue the optimization of logistics. All companies have realized that time is changing. Nowadays the use of mobile devices is standard. New opportunities are arising for the ordering customer and for the provider’s distribution service. That’s great. Isn’t it?
It is a win-win situation! What more do you want? Drones?
We are looking forward to the development of our prototype to initiate a system that provides this process support.
Our Team chose the rail-transportation companies MVV / MVG as we see a lot of opportunities for progress. When planning the research phase, we scheduled interview appointments, came up with a catalogue of questions and made a plan for the observations and empathic explorations.
During the observations and empathic explorations we decided to observe a wide range of train stations. At each station we explored passengers’ behavior when trying to orientate themselves.
We also made our way over to the chosen companies in order to interview several employees. As an example we talked to a station guard about the passenger flow and to the supervisor of multimodal mobility at MVG and the management of multimedia and marketing at MVV and got some very interesting insights into current and planned projects and things they would like to improve. Given both institutions’ current willingness to integrate new ideas into their running systems and their friendly cooperation with us, there definitely will be a lot of potential for our future concept.