| Course | DBAX 9102C Business Consulting Research Project Stage 2 |
|---|---|
| Week | Week 10 |
| Paper type | Peer clinic |
| Length | About 380 words, 3 pages |
| Format | Discussion reply, APA 7 citations |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DBAX 9102C Week 10
Week 10 Discussion: Peer Clinic on Stage 2 Plans
Naming the Failure Before It Happens: Peer Clinic Notes on Two Consulting Plans, a Produce Wholesaler's New Scheduling System and an Insurance Agency's Claims Workflow Pilot
Clinic Note for Grace
Grace, your plan to evaluate a new scheduling system at a regional produce wholesaler is well matched to the client's decision. The failure I would expect is that the comparison period overlaps the summer harvest surge, when overtime and absences rise for reasons unrelated to scheduling. Your plan compares the three months before launch with the three months after, and the after period is July through September. Shadish et al. (2002) would call the harvest a history threat. An early sign would be overtime rising at the warehouse that kept the old system too. A cheap safeguard is to use last year's same months as a second comparison, or to delay launch until the surge is over.
Clinic Note for Nikhil
Nikhil, your pilot of a new claims workflow at a 250-person insurance agency has a clear outcome, days from first notice to settlement. The failure I would expect comes from who joins the pilot. You plan to let team leaders volunteer, and volunteers are likely to be the strongest teams. If the pilot teams settle claims faster, a reviewer will ask whether they always did. Hemming et al. (2015) describe how assigning the order of adoption at random protects against this. Could you randomize which teams start first, even if all teams eventually adopt the workflow?
A Pattern in Both Plans
Both of your plans could fail for a reason visible on a calendar or an org chart before any data arrive. That seems worth checking in every plan.
What the Clinic Showed About My Own Plan
Reading your plans made me check mine for both failures. My staggered rollout at the moving company already randomizes depot order, but I had not checked whether my last start date runs into the summer moving peak, the same seasonal problem as Grace's harvest. It does not, but only by two weeks, and I have now written a rule that if any start slips past mid-May, it moves to after Labor Day. Cartwright and Hardie (2012) emphasize that plans succeed when their supporting conditions hold; a calendar is one of those conditions.
References
Cartwright, N., & Hardie, J. (2012). Evidence-based policy: A practical guide to doing it better. Oxford University Press.
Hemming, K., Haines, T. P., Chilton, P. J., Girling, A. J., & Lilford, R. J. (2015). The stepped wedge cluster randomised trial: Rationale, design, analysis, and reporting. BMJ, 350, Article h391. https://doi.org/10.1136/bmj.h391
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.
What the DBAX 9102C Week 10 instructions ask for
Week 10 asks you to run a peer clinic on two classmates' Stage 2 plans. In each, name the single most likely way the plan fails, explain why with a source or course concept, describe an early sign that would reveal it and propose a cheap safeguard. Begin by noting something the plan does well. Look for a pattern across the plans you read. Then check your own plan for the same failures and report what you found and changed. Keep each note brief enough that the classmate can use it right away, and frame failures as foreseeable rather than as criticism of the classmate's judgment.
How the DBAX 9102C Week 10 example is put together
The first note praises a decision-matched plan, then shows that the after period falls in the harvest surge, citing Shadish and colleagues, names rising overtime at the control warehouse as an early sign and proposes last year's months as a second comparison. The second praises a clear outcome, then shows volunteer teams could explain faster settlements, citing Hemming and colleagues, and proposes a randomized start order. A short section names failures visible on a calendar or org chart. A closing section checks the author's rollout, finds the last start two weeks from the moving peak and adds a rule, citing Cartwright and Hardie. Each note runs to one paragraph with the early sign and safeguard in its last two sentences, so the classmate can find them quickly.
DBAX 9102C Week 10 rubric: what earns full marks
Clinic notes earn credit for naming a specific, foreseeable failure with an early sign and a practical safeguard. Grounding each failure in a source shows learning. Opening with a genuine strength shows collegiality. Spotting a pattern across plans shows synthesis. Applying the same scrutiny to one's own plan, and changing it, shows reflection. Brevity respects the classmate. Notes that list every possible weakness, criticize without a safeguard or skip the self-check are graded down in this thread. Framing each failure as foreseeable, not as the classmate's mistake, keeps the clinic collegial. A safeguard that costs little is more useful than an ideal one the classmate cannot afford. A self-check that leads to a written rule shows the clinic changed the author's plan.
DBAX 9102C Week 10 help: mistakes that cost marks
Read your classmate's plan with a calendar and an org chart in mind. Ask what else happens during the study period and who chooses which sites or teams take part. Those two questions find most foreseeable failures. Name one, explain it with a source, say what early sign would show it and suggest a safeguard that costs little. Then ask the same questions of your own plan. Many students write clinic notes that praise the topic or list generic threats. Others forget to check their own plan. A failure named in Week 10 is far cheaper than one discovered in Week 30. Our writers can help you run the same check on your own plan.
Get a DBAX 9102C Week 10 example written to your instructions
Paste the Week 10 prompt and rubric, your plan with its dependencies, plus both classmate plans awaiting a premortem. Clinic post and both replies return in 24-48h, nothing charged for the first. Classmate plans are needed whole, and placeholders replace every name before drafting begins, so nobody in the thread is identifiable.
More DBAX 9102C papers and DBA samples
- DBAX 9102C Week 1: Evidence Transfer Discussion
- DBAX 9102C Week 2: Neighboring Sector Search
- DBAX 9102C Week 3: Two-Question Study Appraisal
- DBAX 9102C Week 4: Internal Records Appraisal
- DBAX 9102C Week 5: Local Transfer Verdict
- DBAX 9102C Week 6: Remaining Unknowns Statement
- DBAX 9102C Week 7: Consulting Design Options
- DBAX 9102C Week 8: Study Feasibility Section
- DBAX 9102C Week 9: Consulting Design Defense
- DBAX 9102C Week 11: Consulting Stage 2 Package
- DBAX 9102 Week 10: Design Peer Challenge
- DBAX 9101C Week 10: Consulting Peer Read
- DBAX 9101 Week 10: Stage 1 Peer Critique
- DBAX 8151 Week 10: Peer Critique Replies
DBAX 9102C Week 10 questions, answered
Where can I find a free DBAX 9102C Week 10 sample paper?
Both clinic notes and the self-check are free to read below.
What failure does the first DBAX 9102C Week 10 note find?
The after period overlaps the summer harvest surge.
What safeguard does the second note propose?
Randomizing the order in which teams adopt the workflow.
What pattern did both plans share?
A failure visible on a calendar or org chart before any data arrive.
What did the author change in the moving study?
A rule moving any start past mid-May to after Labor Day.