An MBA 699 Milestone Two attrition analysis report: overall turnover, rates by function, overtime and tenure, exit interview reasons, the acquisition risk they create and targeted retention recommendations with measures. Searches like "mba 699 module 3 assignment", "mba699 module 3 milestone two employee attrition analysis" and "mba 699 module 3 example" land here.
The MBA 699 Module 3 example, in full
Milestone Two: Employee Attrition at Prairieview Life Sciences and What It Means for a Sale
[Student Name]
Southern New Hampshire University
MBA 699: Strategic Opportunity Management
Module Three Milestone Two
[Instructor Name]
[Date]
The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.
Milestone Two: Employee Attrition at Prairieview Life Sciences and What It Means for a Sale
Summary
In the last twelve months, 240 of Prairieview's 1,480 employees left, an attrition rate of 16.2 percent. Turnover is concentrated in manufacturing operations, sales and maintenance, among employees working regular overtime and among those in their first three years. The critical scientific and quality leaders, by contrast, are largely staying. For the exit strategy, the problem is not that Prairieview is losing its experts; it is that the company cannot keep the people who run its production lines long enough for them to become experts. A buyer will see this in due diligence, and the retention plan below is designed to change the trend before the company is marketed.
Data and Method
The analysis uses HR records for all employees on payroll during the last fiscal year, including function, tenure, overtime status and separation date, together with 168 exit interviews completed by departing employees, a 70 percent response rate. Attrition was calculated as departures divided by headcount at the start of the year. Both voluntary and involuntary departures are included, although involuntary separations were only 19 of the 240.
Attrition by Function
Table 1 shows departures and rates by function.
Table 1
Twelve-Month Attrition by Function
| Function | Headcount | Departures | Attrition rate |
|---|---|---|---|
| Manufacturing operations | 560 | 114 | 20.4% |
| Maintenance and engineering | 120 | 22 | 18.3% |
| Sales and business development | 90 | 22 | 24.4% |
| Quality control and assurance | 210 | 30 | 14.3% |
| Process development | 240 | 28 | 11.7% |
| Corporate and administration | 200 | 20 | 10.0% |
| Regulatory affairs | 60 | 4 | 6.7% |
| Total | 1,480 | 240 | 16.2% |
Note. Composite data from the fiscal year HR extract.
Reading the Functional Pattern
Manufacturing operations accounts for nearly half of all departures, 114 of 240, and its rate of 20.4 percent is well above the company average. Sales has the highest rate, but it is a small group and its departures are partly tied to a commission plan change last year. Maintenance and engineering is the less visible concern: its technicians keep the bioreactors and filling lines running, and each departure leaves shifts short of people qualified on specific equipment. The groups with the lowest turnover, regulatory affairs and process development, are the ones whose knowledge is hardest to replace. Among the 50 employees the company has designated as critical, 38 senior scientists and 12 quality leads, only 4 left in the year, a rate of 8 percent.
Overtime and Tenure
Table 2 shows two patterns that cut across functions.
Table 2
Attrition by Overtime Status and Tenure
| Group | Headcount | Departures | Attrition rate |
|---|---|---|---|
| Regular overtime | 430 | 118 | 27.4% |
| No regular overtime | 1,050 | 122 | 11.6% |
| Tenure under 1 year | 260 | 78 | 30.0% |
| Tenure 1 to 3 years | 420 | 84 | 20.0% |
| Tenure 3 to 7 years | 470 | 56 | 11.9% |
| Tenure over 7 years | 330 | 22 | 6.7% |
Note. Composite data. Regular overtime means more than 8 overtime hours in at least half of all pay periods.
What Overtime and Tenure Tell Us
Employees working regular overtime leave at more than twice the rate of those who do not, and most of them work in manufacturing and maintenance. The overtime itself is partly a result of turnover: when trained operators leave, remaining staff cover their shifts, which raises strain and prompts more departures. Tenure shows a similar cycle. Nearly a third of new hires leave within a year, and together employees with less than three years of service account for 162 of the 240 departures. Research on turnover emphasizes that people stay when they are embedded in their work through relationships, fit with the job and what they would give up by leaving, and that these ties take time to form (Holtom et al., 2008). Prairieview is losing people before those ties develop.
Why People Say They Leave
Among the 168 exit interviews, the most common primary reasons were schedules and overtime (31 percent), pay (22 percent), limited career growth (19 percent), relationships with supervisors (14 percent), relocation or personal reasons (9 percent) and other reasons (5 percent). Pay matters, but it is not the leading reason. Allen et al. (2010) described the belief that people leave mainly for money as a common misconception, noting that job satisfaction, commitment, supervision and alternatives often matter more, and Prairieview's interviews fit that pattern. Several departing operators described learning of mandatory weekend shifts with only days' notice, and several said they saw no path from operator to technician or supervisor.
What a Buyer Will Conclude
A buyer's due diligence team will find three things. First, the production workforce is unstable, which raises questions about the company's ability to meet customer schedules and about hidden costs of hiring, training and overtime. Second, turnover is feeding itself through overtime, so it is likely to continue without intervention. Third, the scientific and quality core is stable, which is the most valuable finding for a buyer interested in Prairieview's capabilities. Buyers also know that turnover typically rises after an acquisition; Walsh (1988) found significantly higher departure rates among top managers of acquired firms than among those of firms not acquired, and uncertainty affects other employees as well. In technology-intensive acquisitions, Ranft and Lord (2002) found that retaining key people was central to preserving the knowledge being acquired. A buyer will therefore discount the price for both the current turnover and the expected increase after closing unless Prairieview can show the trend reversing.
Retention Recommendations
Four actions target the causes identified. First, stabilize schedules in manufacturing: publish shift schedules four weeks ahead, cap mandatory overtime per person per month and fund a float pool of trained operators to cover absences. Second, strengthen the first three years: a structured onboarding program with a named mentor for each new operator and technician, and check-ins at 30, 90 and 180 days. Third, create a visible career path from operator to senior operator, technician and supervisor, with the training and pay steps published. Fourth, protect the critical 50 with retention agreements tied to the completion of any transaction, reviewed by the guiding coalition.
Success will be measured quarterly: attrition in manufacturing below 15 percent within a year, first-year attrition below 20 percent, regular overtime reduced to fewer than 250 employees and no loss of more than two critical employees in any quarter. Showing buyers a falling trend over at least two quarters will be more persuasive than any promise about the future.
References
Allen, D. G., Bryant, P. C., & Vardaman, J. M. (2010). Retaining talent: Replacing misconceptions with evidence-based strategies. Academy of Management Perspectives, 24(2), 48-64. https://doi.org/10.5465/amp.2010.51827775
Holtom, B. C., Mitchell, T. R., Lee, T. W., & Eberly, M. B. (2008). Turnover and retention research: A glance at the past, a closer review of the present, and a venture into the future. Academy of Management Annals, 2(1), 231-274. https://doi.org/10.5465/19416520802211552
Ranft, A. L., & Lord, M. D. (2002). Acquiring new technologies and capabilities: A grounded model of acquisition implementation. Organization Science, 13(4), 420-441. https://doi.org/10.1287/orsc.13.4.420.2952
Walsh, J. P. (1988). Top management turnover following mergers and acquisitions. Strategic Management Journal, 9(2), 173-183. https://doi.org/10.1002/smj.4250090207
How this MBA 699 Module 3 example is structured
The report states the headline rate and why it matters for a sale, then presents three tables that locate the problem. Interpretation follows each table's pattern rather than restating numbers. A section translates the findings into what a buyer would conclude, and the recommendations target the specific groups and causes identified, each with a measure.
Get MBA 699 Module 3 written to your instructions
Send us the MBA 699 Milestone Two prompt, rubric and attrition data. An attrition analysis report with findings and retention recommendations comes back within 24 to 48 hours; your first is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
MBA 699 Module 3 questions, answered
What does MBA 699 Milestone Two require?
Milestone Two usually asks students to analyze the company's employee attrition data, identify patterns such as which roles or groups leave most and why, and explain what attrition means for the planned acquisition and how the company might reduce it.
How is the attrition rate calculated?
A common method divides the number of employees who left during a period by the average or starting headcount for that period and multiplies by 100. Analyses often separate voluntary from involuntary departures and calculate rates for subgroups.
Why do buyers care about employee attrition?
Much of a company's value lies in its people, especially in technical and regulated industries. High or rising turnover suggests hidden costs, weaker productivity and a risk that key staff will leave after the deal, so buyers examine it closely during due diligence.