E - commerce SME lending in Argentina   - Learning Launch 

 Challenge 

 I am a founder and CTO of Cyber Wellness Student Ambassador Programme , an Argentina based company builder . Our   company builder model differs from other Argentinian and Latin American models since all of our   startup ideas come from our own management team , employees and advisors . We ideate , test , build and grow our business ideas . We are 15 professionals with diverse specialities , software development ,   product development , marketing , design , user experience but with one thing in common , our area of   expertise is finance . We were eager to test some hypothesis we have regarding SME ( Small Medium Enterprises ) lending in   Argentina and since e - commerce is constantly growing in the region , and as in any other type of   company , financial aid is a key part in planning the company growth , it seemed to be an interesting   field to test them . 

 These companies , usually small and new , don´t have access to Bank Loans , the amount of paperwork is discouraging , the timing is usually bad , taking from 2 to 4 months to have a loan approved . So there   were plenty of pains from where to start our work . 

 The following were our hypothesis 

 • E - commerce sellers would find appealing to have access to loans in 48hs , from requesting it to   disbursement . 

 • E - commerce sellers would find appealing to access loan´s amounts proportional to their   income . 

 • E - commerce sellers would find appealing to access loans in a paperless procedure 

 • E - commerce sellers , in order to access all 3 above benefits , will grant permission for us to view   their sales information . 

 As in any lean , startup methodology we have time and budget constraints , we needed to test these   hypothesis as fast and cheat as possible . 

 Selection 

 We have selected the learning launch tool . This tool is a very simple , fast and cheap way of testing   hypothesis . It let´s you learn about customer needs , their problems and the ways to solve them , since   one of its main characteristics is customer engagement .   This tool needs the learning ground to be big enough to obtain meaningful feedback , if not , a few false   positives could guide you to incorrect conclusions . Another way of getting incorrect conclusions is   having a small and single skilled team to conduct the experiments . The team should be small or   medium sized but always diverse in skills and area of expertise . 

 We found this tool appropriate since : 

 • We were trying to solve final customers needs , our experience was not enough to deduct the   root causes and ways of solving them . 

 • We had a huge community to test out ideas ( 7MM sellers ) . 

 • We have only 90 days to design and build the experiments and 60 days to execute them and   confirm our ideas . 

 Application 

 We started by generating assumptions from our main hypothesis . Hypothesis : E - commerce sellers needed financing and banks were not satisfying that demand .   Assumptions : 

 • A simple , online loan request process will attract sellers . Contrasting with bank procedures . 

 • Placing ads in the online tools sellers use every day will generate brand awareness and traffic . 

 Hypothesis : We need the sellers to trust us with their detailed sales information .   Assumptions : 

 • Generating a brand , logos , a company vision and press appearances will generate trust in our   company . 

 • Generate a web site in order to communicate above content will ease communication with   possible clients . 

 We shaped a team in order to build the artifacts needed to test our key assumptions . The team had the   following skills : marketing , user interface design , communication , credit risk and legal . 

 We generated : 

 • A company vision and communication message . 

 • Brand name , logos , design guidelines . 

 • Web site , just for communication , it didn´t have any functionality or logic . 

 • Banners for digital marketing . 

 Finally , we launched out site and the marketing campaign with minimum investment . We also have a   person dedicated to customer support by phone , email and chat . 

 In the following weeks we collected data from web analytics and all emails , chats and calls were   recorded . Every few days we tweaked our message , banners and process , in order to deduct the root   causes of the clients pains and the most engaging message to generate their trust . 

 I believe that our way of applying this tool is interesting because we had some base tests to try but also   we generated small variants from each of them to achieve the best possible result . 

 Insight 

 We learned a lot from applying this tool . In fact we had a huge pivot in our product . Our approval   process was designed to fulfill small and medium enterprises requirements . During the tests we   discovered that the most needed for financing were not small and medium companies but micro   companies and individual sellers . This fact had a huge impact in the product and future company focus . 

 Approach 

 In our next approach we might change the test design process . Despite the tests where cheap in   comparison with a classic project approach , where this would have been discovered after 12 months of   building a full product , we believe that the tests can be carried out cheaper , smaller and earlier in the   design thinking process , for example we could test some early ideas at the same time we do some field   interviews just by asking questions about them : Would you apply for an online loan for your company   just by sharing your sales information ? 


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: E - commerce SME lending in Argentina   - Learning Launch 

 Challenge 

 I am a founder and CTO of Cyber Wellness Student Ambassador Programme , an Argentina based company builder . Our   company builder model differs from other Argentinian and Latin American models since all of our   startup ideas come from our own management team , employees and advisors . We ideate , test , build and grow our business ideas . We are 15 professionals with diverse specialities , software development ,   product development , marketing , design , user experience but with one thing in common , our area of   expertise is finance . We were eager to test some hypothesis we have regarding SME ( Small Medium Enterprises ) lending in   Argentina and since e - commerce is constantly growing in the region , and as in any other type of   company , financial aid is a key part in planning the company growth , it seemed to be an interesting   field to test them . 

 These companies , usually small and new , don´t have access to Bank Loans , the amount of paperwork is discouraging , the timing is usually bad , taking from 2 to 4 months to have a loan approved . So there   were plenty of pains from where to start our work . 

 The following were our hypothesis 

 • E - commerce sellers would find appealing to have access to loans in 48hs , from requesting it to   disbursement . 

 • E - commerce sellers would find appealing to access loan´s amounts proportional to their   income . 

 • E - commerce sellers would find appealing to access loans in a paperless procedure 

 • E - commerce sellers , in order to access all 3 above benefits , will grant permission for us to view   their sales information . 

 As in any lean , startup methodology we have time and budget constraints , we needed to test these   hypothesis as fast and cheat as possible . 

 Selection 

 We have selected the learning launch tool . This tool is a very simple , fast and cheap way of testing   hypothesis . It let´s you learn about customer needs , their problems and the ways to solve them , since   one of its main characteristics is customer engagement .   This tool needs the learning ground to be big enough to obtain meaningful feedback , if not , a few false   positives could guide you to incorrect conclusions . Another way of getting incorrect conclusions is   having a small and single skilled team to conduct the experiments . The team should be small or   medium sized but always diverse in skills and area of expertise . 

 We found this tool appropriate since : 

 • We were trying to solve final customers needs , our experience was not enough to deduct the   root causes and ways of solving them . 

 • We had a huge community to test out ideas ( 7MM sellers ) . 

 • We have only 90 days to design and build the experiments and 60 days to execute them and   confirm our ideas . 

 Application 

 We started by generating assumptions from our main hypothesis . Hypothesis : E - commerce sellers needed financing and banks were not satisfying that demand .   Assumptions : 

 • A simple , online loan request process will attract sellers . Contrasting with bank procedures . 

 • Placing ads in the online tools sellers use every day will generate brand awareness and traffic . 

 Hypothesis : We need the sellers to trust us with their detailed sales information .   Assumptions : 

 • Generating a brand , logos , a company vision and press appearances will generate trust in our   company . 

 • Generate a web site in order to communicate above content will ease communication with   possible clients . 

 We shaped a team in order to build the artifacts needed to test our key assumptions . The team had the   following skills : marketing , user interface design , communication , credit risk and legal . 

 We generated : 

 • A company vision and communication message . 

 • Brand name , logos , design guidelines . 

 • Web site , just for communication , it didn´t have any functionality or logic . 

 • Banners for digital marketing . 

 Finally , we launched out site and the marketing campaign with minimum investment . We also have a   person dedicated to customer support by phone , email and chat . 

 In the following weeks we collected data from web analytics and all emails , chats and calls were   recorded . Every few days we tweaked our message , banners and process , in order to deduct the root   causes of the clients pains and the most engaging message to generate their trust . 

 I believe that our way of applying this tool is interesting because we had some base tests to try but also   we generated small variants from each of them to achieve the best possible result . 

 Insight 

 We learned a lot from applying this tool . In fact we had a huge pivot in our product . Our approval   process was designed to fulfill small and medium enterprises requirements . During the tests we   discovered that the most needed for financing were not small and medium companies but micro   companies and individual sellers . This fact had a huge impact in the product and future company focus . 

 Approach 

 In our next approach we might change the test design process . Despite the tests where cheap in   comparison with a classic project approach , where this would have been discovered after 12 months of   building a full product , we believe that the tests can be carried out cheaper , smaller and earlier in the   design thinking process , for example we could test some early ideas at the same time we do some field   interviews just by asking questions about them : Would you apply for an online loan for your company   just by sharing your sales information ?
### Output: 