MSHR 6610 Week 1 Two Ledgers Discussion Post Example

Aligning Human Resources with Business Operations Walden University Free custom sample in 24 to 48h

This MSHR 6610 Week 1 discussion post example takes one people problem and records it in two ledgers: HR's and operations'. Walden MSHR 6610, Aligning Human Resources with Business Operations, opens on that gap, so an HR writer at a composite electric utility argues in the first sentence that eight evening vacancies open seven weeks on average is accurate and nearly useless to the director who schedules the contact center floor. The post restates the vacancies in her units. Using Erlang C as Gans, Koole and Mandelbaum describe it, 135 calls per half hour at seven minutes each need about 37 agents for 80 percent answered within thirty seconds; with about 33, the model predicts roughly 36 percent and waits over three minutes. Two replies follow; MS in Human Resource Management students can adapt the move to any HR measure.

CourseMSHR 6610 Aligning Human Resources with Business Operations
WeekWeek 1
Paper typeDiscussion post
LengthAbout 520 words, 3 pages
FormatDiscussion post, APA 7 citations
SchoolWalden University
ProgramMS in Human Resource Management
UpdatedOctober 2026

Free sample paper for MSHR 6610 Week 1

1

Week 1 Discussion: Where HR and Operations Measure Differently

Eight Evening Vacancies in Two Ledgers: Restating an HR Measure as Unanswered Calls at a Utility Contact Center, and Arguing Which Ledger the Operations Director Actually Reads

The HR Ledger

HR's measure of our evening staffing problem, eight evening vacancies open an average of seven weeks, is accurate and nearly useless to the director who schedules the floor. I work in HR for Northfork Power & Light, a composite electric utility serving about 410,000 customers, and our contact center has 132 agent positions. Our monthly HR report lists vacancies, days to fill and engagement survey scores. Each figure is correct. None of them tells the operations director what she needs to know on a Tuesday at 6:00 p.m.

What this page is doingThe post takes a side in its first sentence, because a discussion post that hedges gives classmates nothing to answer.
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The Operations Ledger

Her ledger counts calls answered, calls abandoned, minutes of handling and the share of calls answered within thirty seconds. Restated in her terms, the eight vacancies look like this. At 6:00 p.m., our illustrative volume is about 135 calls per half hour, each taking about seven minutes to handle once after-call work is included. An Erlang C calculation, the standard queuing model for call centers (Gans et al., 2003), shows that about 37 agents on the phones would answer 80 percent of calls within thirty seconds. Because of the vacancies, we usually have about 33. With 33, the model predicts only about 36 percent answered within thirty seconds and an average wait of more than three minutes instead of under twenty seconds. Customers calling about outages or disconnections do not wait that long; many hang up and call back, adding to the queue.

So the eight vacancies are not a recruiting statistic. They are several hundred customers a week who wait too long or give up, concentrated in the hours after work when most residential customers call.

What this page is doingThe same problem is restated in the operations director's units, so the gap between the ledgers becomes visible.
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Which Ledger Is Read

The operations director reads her own ledger, and she is right to. Decisions about overtime, schedules and whether to pay for an overflow vendor are made in her units. Boudreau and Ramstad (2007) argue that HR's value depends on connecting talent decisions to the outcomes leaders already manage, rather than asking leaders to learn HR's measures. If HR wants the evening vacancies filled faster, it should report them as unanswered calls by interval, not as days to fill.

Question for Classmates

In your organization, which HR measure would mean most to an operations leader if it were restated in their units, and what would the restated version be?

Reply to Nadia

Nadia, your hospital's HR report on nurse vacancies seems a good candidate for the same translation. Your post mentions that the unit closes beds when it is short. Could the vacancy report show beds closed per week, which the chief nursing officer already tracks?

Reply to Owen

Owen, you argued that engagement scores matter to operations because engaged staff are more productive. I agree in principle, but Batt (2002) studied call centers and found that HR practices were linked to lower quit rates and higher sales growth; that linkage is what an operations leader would read. Could your engagement report be paired with quit rates by team?

References

Batt, R. (2002). Managing customer services: Human resource practices, quit rates, and sales growth. Academy of Management Journal, 45(3), 587-597. https://doi.org/10.5465/3069383

Boudreau, J. W., & Ramstad, P. M. (2007). Beyond HR: The new science of human capital. Harvard Business School Press.

Gans, N., Koole, G., & Mandelbaum, A. (2003). Telephone call centers: Tutorial, review, and research prospects. Manufacturing & Service Operations Management, 5(2), 79-141. https://doi.org/10.1287/msom.5.2.79.16071

MSHR 6610 Week 1 instructions, in plain terms

Week 1 asks you to show how a people problem looks different to HR and to operations. Pick one issue, such as vacancies, turnover or absence, and state how HR currently measures it. Then restate the same issue in the units the operations leader already uses, such as calls answered, units produced or beds open, showing your calculation. Take a position on which version the decision-maker actually reads and why. Connect your argument to the reading on aligning HR with the business. Finish by asking classmates to translate one HR number of their own, and in replies suggest a specific operational measure for a classmate's issue rather than only agreeing.

Inside the MSHR 6610 Week 1 example

The post opens with its claim about the HR measure. A section restates eight evening vacancies as service at 6:00 p.m., using an Erlang C calculation cited to Gans and colleagues: about 37 agents needed, about 33 present, service falling to about 36 percent and waits above three minutes. A section argues that the operations director reads her own ledger and should, citing Boudreau and Ramstad. A one-line question invites classmates to translate their own measures. Two replies suggest restating nurse vacancies as beds closed and pairing engagement scores with quit rates, citing Batt on call center practices and quits. Every figure in the restatement can be rerun by a reader with different inputs.

Reading the MSHR 6610 Week 1 rubric

Opening posts earn credit for making the translation concrete. A clear position in the first sentence is weighted heavily, since it gives classmates something to test. Restating the HR measure in operational units, with the calculation shown, demonstrates the alignment skill the course teaches. Recognizing which ledger the decision-maker reads shows business judgment. A link to research on HR's contribution grounds the argument. Replies that propose a specific operational measure for a classmate's issue add value. Posts that argue HR's measures should matter more to operations, describe the gap in general terms or restate a measure without showing the arithmetic tend to score lower in this course's discussions. Showing the calculation, rather than asserting the result, is what separates strong posts here.

MSHR 6610 Week 1 help from the desk

Choose an HR number you report regularly and ask who outside HR acts on it. Then ask what that person counts every day and how your issue shows up in their count. For vacancies in a service operation, that might be customers waiting; in manufacturing, units not produced. Work out the translation with simple arithmetic, and show it. Many first posts say HR and operations should communicate better without demonstrating how. Others argue that operations should care about HR's measures, which reverses the burden. Take a side. When replying, offer a specific measure your classmate could use. If the arithmetic for your setting is unclear, our writers can walk through the queuing arithmetic for your setting.

Get a MSHR 6610 Week 1 example written to your instructions

Send the Week 1 discussion prompt, its rubric and the operation your section has in mind, if any. The post and two replies, each converting a people figure into floor terms, come back within 24 to 48 hours, and the first one is free. The utility shown here is a composite; no real company's call data appears.

More MSHR 6610 papers and MS in Human Resource Management samples

MSHR 6610 Week 1 questions, answered

Where can I find a free MSHR 6610 Week 1 sample paper?

The two-ledgers post and both replies appear below and are free to read.

What problem does the MSHR 6610 Week 1 post examine?

Eight evening vacancies at a composite electric utility's contact center.

How are the vacancies restated?

As predicted service at 6:00 p.m.: about 36 percent of calls answered in thirty seconds instead of 80.

Which model produces the estimate?

Erlang C, the standard queuing model for inbound call centers.

Which ledger does the decision-maker read?

The operations director's, in calls answered and waits, which is why HR should report in those units.