BU 506 Unit 8 results and sustainment report example

Leading Change and Operational Excellence Herzing University Free custom sample in 24 to 48h

This BU 506 Unit 8 sample paper reports that install-ready on time rose from 70.9 to 80.0 percent at a composite Columbus flooring retailer after its special-order redesign, and that one showroom slipped. Herzing BU 506, Leading Change and Operational Excellence, closes the MBA project by comparing results with the original baseline on the same definition. Two four-week periods are shown separately with exclusions bracketed. A category the redesign could not touch, manufacturer timing, is used to separate a seasonal effect, so about 5 to 6 of the 9 points are credited to the change. Hilliard fell to 69.4 percent after an untrained hire went back to paper, and the fallback control caught it.

CourseBU 506 Leading Change and Operational Excellence
UnitUnit 8
Paper typeResults and sustainment report
LengthAbout 960 words, 6 pages
FormatAPA 7 student paper
SchoolHerzing University
ProgramMBA
UpdatedOctober 2026

Free sample paper for BU 506 Unit 8

1

From 70.9 to 80.0 Percent, With Hilliard Slipping in April: A Results and Sustainment Report After Four Showrooms Changed How They Order Special Flooring

Student Name

Business, Herzing University

BU 506: Leading Change and Operational Excellence

Instructor Name

May 11, 2026

What this page is doingThe title reports the gain and the decay in the same line. A results report that names where the improvement faded, in its title, shows the reader it will not hide the part that went wrong.
2

From 70.9 to 80.0 Percent, With Hilliard Slipping in April: A Results and Sustainment Report After Four Showrooms Changed How They Order Special Flooring

The Comparison

Install-ready on time rose from 70.9 percent in the baseline period to 80.0 percent across the eight weeks after full rollout. The definition and collection method are those fixed in Unit 1: the share of special orders whose full material was on the staging floor before close of business on the day ahead of the install, taken from the warehouse staging record, with orders missing a staging time excluded and reported. Nothing in the definition changed.

Excluded for a missing staging time: 4 orders in the first rollout period and 5 in the second. Counting them all as late would put the combined rate at 77.5 percent; counting them as on time, 80.6 percent.

PeriodOrders measuredInstall-ready on timeMaterial problems at stagingManufacturer shipped lateMedian lead time (business days)
Baseline, November 3 to December 12, 202520370.9% (144)27 (13.3%)18 (8.9%)17
Full rollout, March 9 to April 3, 202613680.9% (110)9 (6.6%)8 (5.9%)15
Full rollout, April 6 to May 1, 202613979.1% (110)12 (8.6%)9 (6.5%)15
Both rollout periods27580.0% (220)21 (7.6%)17 (6.2%)15
What this page is doingThe results table repeats the Unit 1 definition and shows each period separately, so the reader sees the shape over time and not only a single later figure. Exclusions are handled exactly as they were in the baseline.
3

How Much of the Gain the Redesign Caused

Not all of the improvement can be credited to the redesign. The baseline period ran through the holiday season, when manufacturers ship more slowly, and the rollout periods ran in spring. The share of orders late because a manufacturer shipped after its acknowledged date fell from 8.9 to 6.2 percent, and the redesign did nothing to manufacturers' shipping. That part of the gain, about 2.7 points, is better explained by season.

The part the redesign targeted is material problems found at staging, which fell from 13.3 to 7.6 percent of orders. Among those problems, carton conversion errors fell from 10 in the baseline to 4 across both rollout periods, and missing lot instructions fell from 7 to 0. Unit 4 predicted that about 14 of the 17 targeted problems would be prevented. Scaled to the baseline's 203 orders, the 4 that remained in the rollout periods correspond to about 3, so roughly 14 were prevented, in line with the prediction. On that basis roughly 5 to 6 of the 9 points gained can reasonably be attributed to the redesign, with the rest to season and to chance.

What this page is doingSeparating the redesign's effect from a seasonal effect, using a category the change could not have touched, is what this unit's attribution criterion rewards. The estimate is given as a range, not a single claimed number.
4

The Gain That Held and the Gain That Faded

The redesign held at three showrooms and faded at one.

Hilliard's decline has a specific explanation, and control C3 from Unit 7 caught it. A consultant hired on April 1 was trained by a colleague rather than through the onboarding checklist and wrote every order on the paper fallback form. Paper orders were keyed by the administrator using the old price-sheet conversion, and three of the 12 material problems in the second period came from those orders. The fallback share crossed the 10 percent threshold on April 17 and stayed above it the following Friday. The required visit took place on April 28; the consultant was trained on the screen and the fallback share for the last three days of the period was zero.

The decay is a normal finding. Bateman (2005) and Glover et al. (2011) both describe improvements eroding when the conditions around them change, and here the condition that changed was a new person entering through a route the control plan had anticipated but the showroom had not yet followed.

ShowroomFirst rollout periodSecond rollout periodPaper fallback share, second period
Westerville (pilot)83.3%84.2%4%
Dublin81.6%80.0%6%
Canal Winchester80.0%82.1%5%
Hilliard78.4%69.4%31%

What the Controls Showed

C2, calculator overrides, ran at 11 percent overall and peaked at 19 percent at Dublin in March, which triggered a review that raised the waste allowance for herringbone layouts. C4, carton table freshness, was missed once, when a manufacturer's new carton size took 4 business days to reach the table; two orders were checked and neither was wrong. C5, lot recorded at receiving, ran at 97 percent, below its 100 percent range, mostly on Monday mornings with heavy freight, and receiving now records lots at putaway on those days.

What the Project Taught About the Process

Three lessons reach beyond this redesign. First, the process failed at a handoff that belonged to nobody. The translation from a customer's floor to cartons and lot instructions was performed by three people in turn, each assuming the next would catch an error, and no role owned the result. Giving that translation to a calculation, and giving the carton table a single owner, mattered more than any amount of care at each step.

Second, the people closest to the work already knew most of the answer. The administrators had described the carton and lot problems during the process walk, and one had built her own calculator. The redesign succeeded partly because their knowledge was collected before the design was settled, and partly because their concern about hours was answered in writing before it hardened into opposition.

Third, the controls earned their place within weeks. Without the fallback count, Hilliard's decline would have shown up only as a falling on-time rate a month later, with no clue to its cause. The control pointed straight at the route by which the old process came back.

Sustainment From Here

The improvement is real but young. Eight weeks of full operation is enough to see whether the new steps are used and to catch the first erosion, but not enough to know whether the gain survives the summer peak, when volume roughly doubles. Three actions follow. The onboarding checklist will be enforced at Hilliard and audited at the others. P-chart limits will be calculated in May from the rollout data, as Unit 7 planned, now that the process has run long enough in its new form for limits to describe it (Montgomery, 2019). The monthly summary to the operations manager will continue through the summer and will report each showroom separately, since the combined figure hid Hilliard's slide for most of April. And the next improvement cycle will take on manufacturer timing, behind 17 of the 55 orders that were still late, nearly a third, which this redesign was never meant to fix.

References

Bateman, N. (2005). Sustainability: The elusive element of process improvement. International Journal of Operations & Production Management, 25(3), 261-276. https://doi.org/10.1108/01443570510581862

Glover, W. J., Farris, J. A., Van Aken, E. M., & Doolen, T. L. (2011). Critical success factors for the sustainability of Kaizen event human resource outcomes: An empirical study. International Journal of Production Economics, 132(2), 197-213. https://doi.org/10.1016/j.ijpe.2011.04.005

Montgomery, D. C. (2019). Introduction to statistical quality control (8th ed.). Wiley.

The Herzing BU 506 Unit 8 instructions

The last BU 506 unit asks students to report what happened after implementation. Expect to compare post-implementation readings with the Unit 1 baseline using the same definition and collection method, show movement over successive periods rather than a single figure, separate gains that held from gains that faded, explain the difference, and consider what else could account for the change. Readings should run long enough to show a trend, usually several periods. An improvement that did not work is still a reportable result if it is explained. Breaking results down by site or team is often expected where the change was rolled out in more than one place. If your employer actually ran the change, the real results are company data, so report a composite or obtain permission.

Inside the BU 506 Unit 8 example

The paper leads with the comparison rather than building toward it, restating the Unit 1 definition and setting the baseline beside two four-week rollout periods in one table. Exclusions are bracketed exactly as in the baseline. An attribution section uses manufacturer timing as a comparison category to separate season from redesign and checks the Unit 4 prediction. A showroom table shows where the gain held and where it faded, and the Hilliard decline is traced through the fallback control to an untrained hire. A section reports what the other controls showed, a lessons section draws three conclusions about handoffs, staff knowledge and leading indicators, and the close plans for the summer peak.

BU 506 Unit 8 rubric: what full points look like

Herzing's rubric for the results report generally rewards a valid comparison, trend over time, honest treatment of decay, careful attribution, sustainment planning and clear writing. A valid comparison earns full credit only when the baseline definition and method are reused or any change is declared. Trend rewards several periods instead of one later figure. Decay scores when erosion is reported and explained rather than hidden. Attribution is often the most demanding criterion, and top marks go to reports that separate the change's effect from season or other causes using evidence. Sustainment earns points when the report says what will keep the gain and who will act. Reports that check the earlier prediction against the outcome tend to score well on reflection.

BU 506 Unit 8 help: mistakes that cost points

Results reports lose marks when they compare a new measure with an old one defined differently. Another common problem is reporting one good month and calling the project a success. Writers often credit the whole improvement to their change when season, staffing or vendors also moved. Decay is frequently left out, though examiners expect it and reward explanations. Some reports end without saying what happens next. Publishing an employer's actual results raises permission questions. Missing exclusions are a subtler fault: if records were dropped in the baseline, the same rule has to apply afterward, or the comparison quietly changes. If your results are mixed or disappointing, our writers can help you present them honestly against your baseline and draft the report.

Get a BU 506 Unit 8 example written to your instructions

The Unit 8 instructions, your BU 506 rubric and the baseline, control plan and implementation record the assignment carries forward are all we need. We write a custom example that leads with the comparison, declares any definition change, shows successive readings, reports decay plainly and inventories what remains in place. First custom sample free, returned in 24 to 48 hours.

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BU 506 Unit 8 questions, answered

What if the improvement did not work?

Report it and analyze why, because a well-argued negative result scores better than a flattering one nobody believes. Check first whether the measure captured what changed, then whether the design was implemented as written, then whether the cause was wrong. Each of those is a different finding, and separating them shows the judgment this course spends the whole term building.

How long after implementation should the readings run?

Long enough to pass the point where attention normally fades, which is usually well past the first cycle. Follow whatever observation period the instructions fix. If that call is left to you, take readings at intervals rather than once, and say why you stopped when you did, since a report ending at the peak invites the obvious question.

Can I report the real results if my company actually ran this?

Not with its figures. Operating results, system reports and performance data stay inside the organization that generated them, whatever the outcome was. Where you have genuinely run something similar, keep the reasoning and the pattern you observed, then present every reading as composite case material labeled that way, so nothing measurable traces back to your workplace.

Where can I find a free BU 506 Unit 8 sample paper?

All of the BU 506 Unit 8 results and sustainment report is open to read free, with the period-by-period table, the attribution check, the showroom breakdown and margin notes. For your results, forward the prompt and a custom report is drafted free, usually within 48 hours.

What if my BU 506 Unit 8 results show the gain fading?

Report it and explain it. The sample shows one showroom falling back after a new hire skipped training, and uses the fallback control to trace the cause and the fix.