Agile Analytics 

 Part 1 : Positioning Statement 

 For farmers , industries and grain exporters who need to buy and sell their grains in the local market , AGRINESS 

 is a digital broker that offers different prices of different agricultural commodities through its online platform , 

 allowing its users to buy and sell grains with a single click . Unlike other classic and expensive brokers , 

 AGRINESS allows the realization of businesses online instantly with commissions below the market and without 

 administrative delays , allowing its clients an ecosystem of instant solutions for the realization of their 

 agricultural businesses . 

 Part 2 : Sketch a Demand / Value Hypothesis 

 Problem Scenarios / Jobs - to - be - Done Current Alternatives Your Demand / Value Hypothesis 

 Lack of buying and selling of 

 soybean contracts when there is 

 market uncertainty . 

 Metric : Budget Prices 

 ( purchase and sale price of our client 

 portfolios ) 

 We wait for the market to rebound 

 or call our clients to find out their 

 positions and if they want to carry 

 out contract movements . 

 If we know the budget price of our 

 buyer and seller portfolio then we 

 can offer them pre - agreed contracts 

 so that they do not miss out on 

 business opportunities . 

 copyright Fashion Express 

 Part 3 : Design a Testable Solution for Your Value / Demand Hypothesis 

 Epic User Stories 

 As Max the Sales Manager , I want to visualize the available stock of merchandise from our portfolio of buyers 

 and sellers so that I can offer them personalized deals . 

 Storyboard 

 copyright Fashion Express 

 Dependent Variable / Goal for Epic 

 The key questions here are : 

 1 . Max uses information provided by BI ? 

 2 . Does this information allow Max to build personalized offers ? 

 The specific dependent variables for this , observations we might instrument into code and Google Analytics are : 

 1 . Stock dashboards available by clients + Price boards budgets by clients 

 2 . Transacted personalized offers 

 Child Stories & Analytics 

 Child Stories Analytical Question(s ) Analytics 

 As Max , the Sales Manager , I want to 

 visualize the remaining stock of our 

 soybean buyers and their respective 

 " budget prices " in order to offer them 

 business according to their interests . 

 How often are personalized offers made in relation to general market offers ? How often does this personalized 

 offer lead to a new business deal ? 

 Metrics : - Creation of personalized offers in relation to general offers . - Conversion of personalized offers 

 to agreed businesses 

 copyright Fashion Express 


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: Agile Analytics 

 Part 1 : Positioning Statement 

 For farmers , industries and grain exporters who need to buy and sell their grains in the local market , AGRINESS 

 is a digital broker that offers different prices of different agricultural commodities through its online platform , 

 allowing its users to buy and sell grains with a single click . Unlike other classic and expensive brokers , 

 AGRINESS allows the realization of businesses online instantly with commissions below the market and without 

 administrative delays , allowing its clients an ecosystem of instant solutions for the realization of their 

 agricultural businesses . 

 Part 2 : Sketch a Demand / Value Hypothesis 

 Problem Scenarios / Jobs - to - be - Done Current Alternatives Your Demand / Value Hypothesis 

 Lack of buying and selling of 

 soybean contracts when there is 

 market uncertainty . 

 Metric : Budget Prices 

 ( purchase and sale price of our client 

 portfolios ) 

 We wait for the market to rebound 

 or call our clients to find out their 

 positions and if they want to carry 

 out contract movements . 

 If we know the budget price of our 

 buyer and seller portfolio then we 

 can offer them pre - agreed contracts 

 so that they do not miss out on 

 business opportunities . 

 copyright Fashion Express 

 Part 3 : Design a Testable Solution for Your Value / Demand Hypothesis 

 Epic User Stories 

 As Max the Sales Manager , I want to visualize the available stock of merchandise from our portfolio of buyers 

 and sellers so that I can offer them personalized deals . 

 Storyboard 

 copyright Fashion Express 

 Dependent Variable / Goal for Epic 

 The key questions here are : 

 1 . Max uses information provided by BI ? 

 2 . Does this information allow Max to build personalized offers ? 

 The specific dependent variables for this , observations we might instrument into code and Google Analytics are : 

 1 . Stock dashboards available by clients + Price boards budgets by clients 

 2 . Transacted personalized offers 

 Child Stories & Analytics 

 Child Stories Analytical Question(s ) Analytics 

 As Max , the Sales Manager , I want to 

 visualize the remaining stock of our 

 soybean buyers and their respective 

 " budget prices " in order to offer them 

 business according to their interests . 

 How often are personalized offers made in relation to general market offers ? How often does this personalized 

 offer lead to a new business deal ? 

 Metrics : - Creation of personalized offers in relation to general offers . - Conversion of personalized offers 

 to agreed businesses 

 copyright Fashion Express
### Output: 