No need for any coding, just answer the questions in word document This activity

No need for any coding, just answer the questions in word document
This activity

No need for any coding, just answer the questions in word document
This activity was created to help you understand how introducing analytics into an organization requires strong change leadership. You are assessed based on your ability to:
Describe the drivers of change and the context of the organization.
Comprehensively analyze and manage the stakeholders who are important to the change situation.
Interpret the results of the model and derive actionable insights.
Communicate the work to senior leaders.
Respond to all questions in a timely, complete, and clear manner.
Teach For America (TFA) is a nonprofit organization that recruits a diverse group of leaders from colleges, universities, and professional occupations to serve as teachers for two years, regardless of their undergraduate major and minor. Selected individuals, known as corps members, are assigned to schools in low income areas across the U.S. Historically, TFA corps members went on to join a collective force of many TFA alumni— educators, advocates, entrepreneurs, and policymakers—who were working to reduce educational inequity from every sector of society. At the time of the case study (2020), TFA had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization’s strategy, including recruitment and selection. A few months earlier, former TFA corps member Michael Metzger launched a predictive analytics team responsible for integrating strategy across TFA’s recruitment and admissions continuum. TFA’s senior management wanted Metzger and his team to apply their predictive model to inform their recruitment process.
Carefully read the case and supplementary materials, and answer the following questions:
1. What are the (two) main objectives of Teach for America? Based on your reading of the case study and the associated data identify the factors that helped &/or hindered success of TFA? (15 points)
2. The case states that “TFA realized that they need to pay attention to data.” Describe the specific aspects of the evolution of TFA’s data driven approach. Include technical, people and process aspects of the evolution. (15 points)
3. One major problem in TFA’s recruitment process is that 20% of the candidates who started the application/admission process withdrew before completing the process. This represents a large loss of potential talent. TFA’s approach to addressing this issue is to identify the candidates who are likely to withdraw so the RM/RA’s could focus on these candidates and encourage them to complete the admission process. TFA developed a logistic regression model using data from 2015/16 cohort of applicants (case supplement). The model was trained using a 60/40 split of the data. The estimated parameters from the training model (60%) are shown in the first table below. Scoring of the test data (40%) for the likelihood of withdrawing before completion of the process is shown in the second table below. The scores are sorted numerically and divided into deciles with decile 10 being the highest likelihood of withdrawing prior to completion of the process. The goal is to use this model to identify prospective candidates in the 2017/18 cohort who are most likely to withdraw before completing the application process.
Using the predictions from the model (in attached screenshots), answer the following:
a. You need to guide RM/RA’s in prioritizing their work efforts. Which candidates should they focus on, given the goal to increase the number of candidates who complete the application process. (10 points)
b. Assume that RM’s/RA’s can support 5000 applicants, and that they can decrease the number of applicants who withdraw from the process by 15% if they provide more direct support and guidance. If the RM’s/RA’s follow your guidance from Question 1 on which deciles to focus their efforts, how many more applicants will complete the process compared to the average number of applicants who will complete the process if the RM’s/RA’s do not focus their efforts using the model deciles, assuming the workload capacity of 5000 applicants? (10 points)
c. Once the candidates are prioritized (question A), what variables would you examine to fine-tune the targeting process? Explain the rationale for your choice of variables. (10 points)
d. Based on your interpretation of the results of the model, what is the most important action that you recommend to the recruiters? (10 points)
e. Use the metaphor of the rider and the elephant to describe the rational and emotional messages that you would use to deal with the objection of the recruiters who had no trust in the model because some low risk applicants withdrew from the application process. (15 points)
f. Imagine that you are in the elevator at TFA Headquarters in NYC. Wendy Kopp gets on and pushes the button for a few floors up. She asks you how things are going. You have at most 2 minutes to update her on your project. Write a summary of your project in a maximum of 300 words. (15 points)

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