Challenge 

 I am a digital product designer with a strong background in product   development working at a venture builder . We are engaged in looking for   unmet customer needs / innovation potential in the markets we explore and   need to quickly validate our ﬁndings and test our assumptions in order to , in   the end , come up with solid business cases for further investment . 

 Of course , each exploration project requires time , people and money . None of   which can be wasted and success is rare . Thus , acceleration of the process and   minimizing the need for these scarce resources are essential . In this context ,   the challenge is clear : Quickly come up with and iteratively test key   assumptions and product ideas with real customers to be able to learn and   adapt as early as possible . 

 Selection 

 We are working in a strict lean approach , as described by Eric Reis in his best- selling book „ The Lean Startup “ ( http://theleanstartup.com/principles ) which at   its core uses a methodology called „ build - measure - learn feedback loop “ . Quick   iteration is the main principle . So , in terms of generating and testing ideas the   „ Learning Launch “ was the preferred method . 

 What we test in the end is also called a „ prototype “ ( or in some deﬁnitions even   Minimal Viable Product ) and can take many forms . Its main purpose is to create   just enough value for the user to adopt it so we can gain real - life insights and   enable us to test key assumptions without having to build the complete   product with all its features right from the beginning . 

 Application 

 In the ﬁrst stage we looked at the data and insights we gathered through all the   diﬀerent research methods . In this case the market segment we were focussing   on had a lot of innovation potential and we were able to identify an opportunity   worth exploring . So the next stages were : 

 1 . Generating ideas how to address the customer need , also known as the   ideation phase 

 2 . Clearly articulate   respective assumptions in terms of relevant value   propositions and 

 3 . Designing and building a ( rapid ) prototype to test with real - life customers 

 In order to accomplish that quickly , we added a tool to the mix that enables us   to do just that . It ’s called the design sprint , developed by Jake Knapp at Google   Ventures ( https://designsprintkit.withgoogle.com/introduction/overview ) . 

 Since we are looking for product ideas in the digital space and need to quickly   determine which qualify as business opportunities , we chose to test the value   propositions we came up with by creating diﬀerent landing pages . These   minimal websites were designed to look like the products we oﬀered were   already launched and well - established . We generated traﬃc to these landing   pages via Facebook Ads and each one just provided one speciﬁc function we   wanted to test in the market . In reality it was all nuts and bolts and most of the   „ automated “ services were provided manually in the background . 

 Insight 

 The „ Learning Launch “ method proved to be the right choice for our purpose .   We very quickly gained valuable insights and even created some traction in the   market . Of course some assumptions did not stand the test and all of them   needed reﬁning to one degree or another but in general this was yet another   proof of the power of design thinking methods . 

 Although we faced some challenges with setting up , advertising for and   tracking of our landing pages , quick iteration with real - life customer insights is   invaluable in a fast - paced environment like ours . 

 Approach 

 What   we did not anticipate early enough , was the challenge to generate traﬃc   through advertising on facebook . On the one hand it can be very costly , on the   other hand the ad itself plays a major role . Its design and wording can be   decisive in whether a customer clicks the ad or not and designing the right ads   can be very time - consuming in itself . 


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: Challenge 

 I am a digital product designer with a strong background in product   development working at a venture builder . We are engaged in looking for   unmet customer needs / innovation potential in the markets we explore and   need to quickly validate our ﬁndings and test our assumptions in order to , in   the end , come up with solid business cases for further investment . 

 Of course , each exploration project requires time , people and money . None of   which can be wasted and success is rare . Thus , acceleration of the process and   minimizing the need for these scarce resources are essential . In this context ,   the challenge is clear : Quickly come up with and iteratively test key   assumptions and product ideas with real customers to be able to learn and   adapt as early as possible . 

 Selection 

 We are working in a strict lean approach , as described by Eric Reis in his best- selling book „ The Lean Startup “ ( http://theleanstartup.com/principles ) which at   its core uses a methodology called „ build - measure - learn feedback loop “ . Quick   iteration is the main principle . So , in terms of generating and testing ideas the   „ Learning Launch “ was the preferred method . 

 What we test in the end is also called a „ prototype “ ( or in some deﬁnitions even   Minimal Viable Product ) and can take many forms . Its main purpose is to create   just enough value for the user to adopt it so we can gain real - life insights and   enable us to test key assumptions without having to build the complete   product with all its features right from the beginning . 

 Application 

 In the ﬁrst stage we looked at the data and insights we gathered through all the   diﬀerent research methods . In this case the market segment we were focussing   on had a lot of innovation potential and we were able to identify an opportunity   worth exploring . So the next stages were : 

 1 . Generating ideas how to address the customer need , also known as the   ideation phase 

 2 . Clearly articulate   respective assumptions in terms of relevant value   propositions and 

 3 . Designing and building a ( rapid ) prototype to test with real - life customers 

 In order to accomplish that quickly , we added a tool to the mix that enables us   to do just that . It ’s called the design sprint , developed by Jake Knapp at Google   Ventures ( https://designsprintkit.withgoogle.com/introduction/overview ) . 

 Since we are looking for product ideas in the digital space and need to quickly   determine which qualify as business opportunities , we chose to test the value   propositions we came up with by creating diﬀerent landing pages . These   minimal websites were designed to look like the products we oﬀered were   already launched and well - established . We generated traﬃc to these landing   pages via Facebook Ads and each one just provided one speciﬁc function we   wanted to test in the market . In reality it was all nuts and bolts and most of the   „ automated “ services were provided manually in the background . 

 Insight 

 The „ Learning Launch “ method proved to be the right choice for our purpose .   We very quickly gained valuable insights and even created some traction in the   market . Of course some assumptions did not stand the test and all of them   needed reﬁning to one degree or another but in general this was yet another   proof of the power of design thinking methods . 

 Although we faced some challenges with setting up , advertising for and   tracking of our landing pages , quick iteration with real - life customer insights is   invaluable in a fast - paced environment like ours . 

 Approach 

 What   we did not anticipate early enough , was the challenge to generate traﬃc   through advertising on facebook . On the one hand it can be very costly , on the   other hand the ad itself plays a major role . Its design and wording can be   decisive in whether a customer clicks the ad or not and designing the right ads   can be very time - consuming in itself .
### Output: 