| Course | MHRM 6601 Benefits, Compensation, and Resource Allocation |
|---|---|
| Week | Week 3 |
| Paper type | Market analysis |
| Length | About 780 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | MS in Human Resource Management |
| Updated | October 2026 |
Free sample paper for MHRM 6601 Week 3
Where Stone Arch's Pay Sits Against the Market, and How Sure We Can Be: Eight Benchmark Matches, Three Surveys Described Before Use and Data Aged to January 2027
Student Name
Walden University
MHRM 6601: Benefits, Compensation, and Resource Allocation
Instructor Name
Month Day, Year
Where Stone Arch's Pay Sits Against the Market, and How Sure We Can Be: Eight Benchmark Matches, Three Surveys Described Before Use and Data Aged to January 2027
Why the Surveys Come First
Salary survey figures arrive to the dollar, which makes them look more certain than they are. A median of $45,500 may describe a slightly different job, in a different mix of employers, measured more than a year ago. This analysis for Stone Arch, the member-owned lender at the center of the course case, therefore describes each source, matches jobs carefully and brings every figure to a common date before saying where Stone Arch's pay sits. Gerhart and Rynes (2003) note that market pricing depends heavily on these choices, and that two analysts using the same surveys can reach different conclusions if they match and weight jobs differently.
The Three Sources
The public source has the widest reach but the loosest job definitions (Bureau of Labor Statistics, 2026). The association survey matches Stone Arch's peers most closely. The national cut adds depth for professional jobs that few credit unions in the state employ.
Table 1
Surveys Used, Described Before Use
| Source | Participants | Reach | Effective date | |
|---|---|---|---|
| Occupational Employment and Wage Statistics, Minneapolis-St. Paul-Bloomington area | Employers of all kinds and sizes in the metro area | Broad occupations, not specific credit union jobs | May 2025 | |
| State credit union association salary survey | About 60 credit unions in Minnesota and western Wisconsin | Credit union job titles with written descriptions | January 2026 | |
| National financial institutions compensation survey, cut to Midwest institutions with $1 billion to $2 billion in assets | About 140 banks and credit unions | Detailed financial job descriptions | April 2026 | |
The second and third sources are composite descriptions of the kinds of survey a credit union of this size would buy.
Matching the Jobs
Eight of the twelve benchmark jobs from the Week 2 evaluation were matched. Each match was rated good, acceptable or poor by comparing Stone Arch's job description with each survey's. Two decisions shaped the results. The public category for new accounts clerks was rejected as a match for member service representatives, because Stone Arch's representatives also process loan applications and resolve account disputes, which the federal category does not include. The federal category for loan officers was rejected for mortgage loan originators, because it combines commercial, consumer and mortgage lenders, many paid largely by commission; its metro median of $102,200 would overstate the market for a salaried originator.
Aging the Data
Each figure was aged to January 1, 2027, the date the new structure will take effect, at 3 percent a year, roughly the average salary budget increase reported in recent surveys. The public data from May 2025 was aged twenty months, the association data twelve months and the national data nine months. The aging rate is an assumption; a rate of 4 percent would raise every market figure by about one more percentage point.
Results
Weighted by headcount, Stone Arch pays about 94 percent of the aged market median. The gap is widest for tellers and compliance analysts, both at 91 percent, and absent for contact center representatives, which matches the Week 2 finding that their pay looks high relative to their evaluated worth.
Table 2
Stone Arch Pay Against the Aged Market Median, January 2027
| Job | Sources used | Aged market median | Stone Arch average | Ratio | |
|---|---|---|---|---|
| Teller | Public, association | $46,970 | $42,700 | 91 percent | |
| Member service representative | Association | $50,370 | $47,300 | 94 percent | |
| Contact center representative | Association | $46,560 | $46,500 | 100 percent | |
| Consumer lender | Association, national | $65,880 | $63,800 | 97 percent | |
| Mortgage loan originator | Association | $80,860 | $76,000 | 94 percent | |
| Staff accountant | National | $73,610 | $70,400 | 96 percent | |
| Compliance analyst | Association, national | $81,060 | $73,900 | 91 percent | |
| Branch manager | Association, national | $101,070 | $95,000 | 94 percent | |
Composite organization. Public teller median $45,500 for May 2025, aged twenty months.
What the Results Can and Cannot Say
The teller gap is the most reliable finding, because two independent sources agree and tellers are the largest group of employees. The compliance analyst gap rests on fewer survey participants and should be treated as likely rather than certain. The mortgage originator figure depends on one survey. None of these figures says what Stone Arch should pay; that depends on the policy position the board chooses, such as matching the median or leading it for hard-to-fill jobs (Milkovich et al., 2020).
Recommendation
Adopt the market median as the policy line for all jobs, with tellers and compliance analysts flagged for adjustment in the Week 4 structure. Buy the association survey again next year, and replace the aging assumption with actual survey results as soon as they arrive.
References
Bureau of Labor Statistics. (2026). May 2025 metropolitan and nonmetropolitan area occupational employment and wage estimates: Minneapolis-St. Paul-Bloomington, MN-WI. U.S. Department of Labor. https://www.bls.gov/oes/current/oes_33460.htm
Gerhart, B., & Rynes, S. L. (2003). Compensation: Theory, evidence, and strategic implications. Sage.
Milkovich, G. T., Newman, J. M., & Gerhart, B. (2020). Compensation (13th ed.). McGraw-Hill Education.
Reading the MHRM 6601 Week 3 instructions
Week 3 asks you to compare an organization's pay with the market. Describe each survey before using it: who participated, how closely its jobs match yours and when its data was collected. Match jobs on duties, not titles, and record how good each match is. Reject matches that would mislead. Age all data to a common date and state the rate you used. Present results in a table, then say how much confidence each finding deserves. Distinguish what the market data shows from the policy decision about where to set pay. Two tables usually carry the analysis: one describing the sources and one comparing pay.
Inside the MHRM 6601 Week 3 example
The paper opens by explaining why survey precision can mislead. A table describes the three sources by participants, reach and effective date. A section explains why the federal new accounts clerk and loan officer categories were rejected, noting the $102,200 loan officer median. A section describes aging each source to January 2027. A results table compares aged medians with the credit union's averages for eight jobs. A section rates the teller finding as most reliable and the compliance finding as likely. A short recommendation adopts the median as the policy line and flags two jobs for the next week's structure. A note under the results table shows one aging calculation in full, so the method can be followed for every row.
MHRM 6601 Week 3 rubric: what earns full marks
Market analyses are graded on how carefully data is handled before conclusions are drawn. Describing surveys before using them shows critical awareness. Matching on duties and recording match quality earns credit, and rejecting misleading matches is weighted heavily. Aging data to a common date, with the rate stated, demonstrates technical competence. A clear results table is expected. Stating confidence for each finding shows judgment. Separating market data from pay policy reflects understanding of how compensation decisions are made. Analyses that average every available number without examining matches or dates receive lower marks. Graders also look for honest treatment of jobs with thin survey coverage, rather than equal confidence in every figure.
Common MHRM 6601 Week 3 mistakes, and how to avoid them
Gather the salary surveys you can access, including free federal data. For each, write down who took part, what its job descriptions say and when its data was collected. Compare those descriptions with your own jobs, duty by duty, and rate each match. Leave out the poor ones. Bring every figure forward to the same date using a stated annual rate. Then compare your organization's average pay with the market figure for each job and calculate the ratio. Many analyses use mismatched titles without noticing. If you are unsure whether a match is good enough, send us both job descriptions. State your aging rate plainly and show one worked example of the calculation.
Get a MHRM 6601 Week 3 example written to your instructions
Share the market analysis prompt, the rubric and any survey extract your section supplies; the analysis matches and prices the jobs from that data. It returns in 24 to 48 hours, a first analysis at no charge. Absent supplied data, it uses round figures labeled illustrative, and the surveys are described by type rather than named.
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MHRM 6601 Week 3 questions, answered
Where can I find a free MHRM 6601 Week 3 sample paper?
The salary market analysis and its tables are posted on this page free.
Which sources does the MHRM 6601 Week 3 analysis use?
Federal metro wage estimates, a state credit union association survey and a national financial institutions survey.
Why were two federal categories rejected?
Their job definitions did not match the credit union's member service and mortgage roles closely enough.
How was the data aged?
Every figure was brought to January 1, 2027, at 3 percent a year.
Where does the credit union's pay sit?
At about 94 percent of the aged market median, with tellers and compliance analysts at 91 percent.