Before reading , please accept my apologies as my English is not perfect ( It is not my native language ) . 

 The Challenge 

 I am User experience designer and I integrated Innovation center of an engineering company specialized in   mobility and transportation 1 year ago . Before that , I used to work in digital ergonomic consultancy agency .      One of my mission was to help the digital business unit which has issues with a software they developed for   internal use and to be sold to our clients .    The software is a tool which allows the user to create a transport service in a specific location and do simulations   thanks to algorithms and data such has traffic jam , population , … )   Their problem was that the software is heavy to maintain ( in term of time and resources ) and despite the good   feedback they receive from internal users , too few external customers pay for this service . The tool is not   profitable .     The Digital business unit which are responsible of this tool has no clue about the reasons of this commercial   failure . They asked me to investigate on the reasons of this failure to find how to do better for further   developments . 

 The tool Selection 

 The tool I selected is the learning launch . Learning launch applied when you have defined several concepts that   seems to work and you need to confirm or disconfirm your hypothesis to guarantee the success of your project .    The learning launch phase is a fast and cheap test phase where you will learn if your hypothesis about your   concept are confirmed or disconfirmed . It will help you to validate and continue your project or to pivot and   refine your concept to ensure it will be a success . ( Fail fast and cheap ) .      In my case , no learning launch has been made during the initial development of the tool . The digital business unit   wants now to re - launch some developments of the tool and this time ; they want to make it right .    The current version of the tool is our « prototype » and the situation is perfect for a learning launch ! 

 The application of learning launch and the insights 

 •   First , I asked for a presentation of the tool by the engineers who built the tool , I asked several questions   to feel comfortable with the functionalities . 

 •   Then , I organized a short workshop with multidisciplinary team ( engineers , sales , marketing , customer   relation and internal user ) to define our hypothesis . 

 •   Thanks to hypothesis , I was able to draw a survey to collect « real information » and « real users » of the   tool . The questions were sometime close questions ( to collect quantitative data ) and sometimes open   questions ( to collect qualitative data ) .    The goal was to collect data on their real use of the tool , the tasks they must accomplish with the tool ,   the knowledge of the functionality they have and their perception of the all tool . 

 •   After several weeks , I analyzed the results of the survey and our hypothesis were almost totally   disconfirmed !   here are the most important hypothesis and insights we get : 

 1 . The tool is seen as powerful : Hypothesis Confirmed 

 2 . Users can use all the features of the tool : Hypothesis DISCONFIRMED 

 Most users have empiric knowledge of the tool . No training was given to them and must of   them do not know all the possibilities and features of the tool . 

 3 . The tool suits to the users ’ needs : Hypothesis DISCONFIRMED 

 a. Users use the tool to make simulation but have no way to extract the result of their 

 study . The tool does not suit their need from A ( simulation ) to Z ( communication of   results ) . 

 b. All users need to do comparisons between simulation to make decisions . The tool has 

 no comparison mode or feature and does not suit their need . 

 Note : Other hypothesis were confirmed and disconfirmed but they are either technical or confidential . 

 The learning launch was very efficient to better know our users and their needs . The digital business Unit knows   that they must add some new feature to better support the users and must also better communicate and train   them . 

 Approach : What I would do next time 

 If I had to do this work again , I would plan a second research phase with one to one interviews with users in   their work environment .    The survey was easy and cheap to set ( and that ’s the goal of learning launch ) , but an iteration with   interviews would have allow me to go deeper in the needs and expectations of our clients . 

 Thank you 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Before reading , please accept my apologies as my English is not perfect ( It is not my native language ) . 

 The Challenge 

 I am User experience designer and I integrated Innovation center of an engineering company specialized in   mobility and transportation 1 year ago . Before that , I used to work in digital ergonomic consultancy agency .      One of my mission was to help the digital business unit which has issues with a software they developed for   internal use and to be sold to our clients .    The software is a tool which allows the user to create a transport service in a specific location and do simulations   thanks to algorithms and data such has traffic jam , population , … )   Their problem was that the software is heavy to maintain ( in term of time and resources ) and despite the good   feedback they receive from internal users , too few external customers pay for this service . The tool is not   profitable .     The Digital business unit which are responsible of this tool has no clue about the reasons of this commercial   failure . They asked me to investigate on the reasons of this failure to find how to do better for further   developments . 

 The tool Selection 

 The tool I selected is the learning launch . Learning launch applied when you have defined several concepts that   seems to work and you need to confirm or disconfirm your hypothesis to guarantee the success of your project .    The learning launch phase is a fast and cheap test phase where you will learn if your hypothesis about your   concept are confirmed or disconfirmed . It will help you to validate and continue your project or to pivot and   refine your concept to ensure it will be a success . ( Fail fast and cheap ) .      In my case , no learning launch has been made during the initial development of the tool . The digital business unit   wants now to re - launch some developments of the tool and this time ; they want to make it right .    The current version of the tool is our « prototype » and the situation is perfect for a learning launch ! 

 The application of learning launch and the insights 

 •   First , I asked for a presentation of the tool by the engineers who built the tool , I asked several questions   to feel comfortable with the functionalities . 

 •   Then , I organized a short workshop with multidisciplinary team ( engineers , sales , marketing , customer   relation and internal user ) to define our hypothesis . 

 •   Thanks to hypothesis , I was able to draw a survey to collect « real information » and « real users » of the   tool . The questions were sometime close questions ( to collect quantitative data ) and sometimes open   questions ( to collect qualitative data ) .    The goal was to collect data on their real use of the tool , the tasks they must accomplish with the tool ,   the knowledge of the functionality they have and their perception of the all tool . 

 •   After several weeks , I analyzed the results of the survey and our hypothesis were almost totally   disconfirmed !   here are the most important hypothesis and insights we get : 

 1 . The tool is seen as powerful : Hypothesis Confirmed 

 2 . Users can use all the features of the tool : Hypothesis DISCONFIRMED 

 Most users have empiric knowledge of the tool . No training was given to them and must of   them do not know all the possibilities and features of the tool . 

 3 . The tool suits to the users ’ needs : Hypothesis DISCONFIRMED 

 a. Users use the tool to make simulation but have no way to extract the result of their 

 study . The tool does not suit their need from A ( simulation ) to Z ( communication of   results ) . 

 b. All users need to do comparisons between simulation to make decisions . The tool has 

 no comparison mode or feature and does not suit their need . 

 Note : Other hypothesis were confirmed and disconfirmed but they are either technical or confidential . 

 The learning launch was very efficient to better know our users and their needs . The digital business Unit knows   that they must add some new feature to better support the users and must also better communicate and train   them . 

 Approach : What I would do next time 

 If I had to do this work again , I would plan a second research phase with one to one interviews with users in   their work environment .    The survey was easy and cheap to set ( and that ’s the goal of learning launch ) , but an iteration with   interviews would have allow me to go deeper in the needs and expectations of our clients . 

 Thank you
### Output: 