| Course | DBAX 9103C Business Consulting Research Project Stage 3 |
|---|---|
| Week | Week 6 |
| Paper type | Findings section |
| Length | About 760 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DBAX 9103C Week 6
Findings Their Own Subjects Will Read: The Results Section of a Consulting Study on Late Installations at a Tulsa Sign Company, Written at the Same Temperature Whether a Finding Flatters or Stings
Student Name
Walden University
DBAX 9103C: Business Consulting Research Project Stage 3
Instructor Name
Month Day, Year
Findings Their Own Subjects Will Read: The Results Section of a Consulting Study on Late Installations at a Tulsa Sign Company, Written at the Same Temperature Whether a Finding Flatters or Stings
A Note on Tone
Findings that their own subjects will read tend to warm up when they flatter and cool down when they do not. This section reports what a consulting study found about late installations at a family-owned sign company in Tulsa, and it holds every finding to the same form: what was observed, from which sources and how strong the evidence is. The study reviewed 214 jobs completed over six months, interviewed 23 staff and observed seven fabrication shifts and four installations. Of the 214 jobs, 158 were installed on or before the scheduled date, an on-time rate of 73.8 percent.
Where the Late Jobs Lost Time
Table 1
Main Source of Delay for the 56 Late Jobs
| Main source of delay | Late jobs | Share of late jobs | Evidence | |
|---|---|---|---|
| Permit or landlord approval | 31 | 55 percent | Permit log, city emails, job tracker | |
| Engineering drawings for structural signs | 14 | 25 percent | Job tracker, engineer interview | |
| Fabrication, including paint booth outage | 7 | 13 percent | Job tracker, maintenance log, shift observation | |
| Installation scheduling or weather | 4 | 7 percent | Job tracker, installer interviews | |
Each late job was assigned to the stage where it lost the most days relative to the median for its sign type.
Finding 1: Approvals Take Longer Than Schedules Assume
The median wait from permit submission to approval was 19 days across the 195 jobs with full dates, against the 10 days the company's scheduling template assumes. More than half of the late jobs lost most of their time here. Interviews with sales and installation staff agree that installation dates are often promised to customers before permits are submitted. This finding rests on records and interviews and is strong.
Finding 2: One Engineer Is a Queue
Structural signs, 86 of the 214 jobs, need drawings stamped by the company's single engineer. The median wait for drawings was 9 days, and jobs waited longest in months when several large retail rollouts overlapped. Hopp and Spearman (2008) show that when one resource is busy most of the time, small increases in demand produce large increases in waiting; the drawing queue behaved that way. This finding rests on records and two interviews with the engineer and is strong.
Finding 3: Fabrication Is Not the Main Bottleneck
Within fabrication, the median time from start to ready-for-install was 6 days, close to the template. Signs passed to the evening crew for wiring waited a median of one night, because only one licensed worker on evenings can do the electrical assembly. Output per labor hour on the evening shift, measured on three observed evenings, was within the range of the day shift. The paint booth was out of service for eleven days after its air handler failed twice; four of the seven fabrication-delayed jobs fell in those days. The maintenance record shows the repair had been postponed twice. This finding rests on records, observation and interviews and is moderate in strength, since only three evenings were observed.
Finding 4: Installation Is Rarely the Cause
Only four late jobs lost most of their time at installation, through weather or crew scheduling. Installers' main complaint, that dates were set before permits arrived, belongs to the first finding.
Evidence From Before and After the Sale Announcement
Each finding was checked against interviews from both sides of the sale announcement. Permit and engineering delays show up before and after the announcement, and the records carry them too. Criticism of the postponed paint booth repair appears mostly in later interviews, but the maintenance log supports it independently, so the finding does not depend on post-announcement accounts alone.
What the Findings Do Not Say
The findings do not assess any individual's performance. They do not show that faster approvals alone would restore the earlier on-time rate, because some delays overlap. Tracy (2010) lists fairness to participants among the markers of good qualitative work; reporting each group's part of the delay with the same evidence standard is how this section tries to meet it.
Readers Inside the Company
The owner expected the evening crew to be the main cause. The evidence does not support that view, and the section says so in the same plain form it uses for the permit finding. Block (2011) argues that a consultant serves the client best by stating findings directly, without softening those the client may resist.
References
Block, P. (2011). Flawless consulting: A guide to getting your expertise used (3rd ed.). Pfeiffer.
Hopp, W. J., & Spearman, M. L. (2008). Factory physics (3rd ed.). McGraw-Hill/Irwin.
Tracy, S. J. (2010). Qualitative quality: Eight "big-tent" criteria for excellent qualitative research. Qualitative Inquiry, 16(10), 837-851. https://doi.org/10.1177/1077800410383121
What the DBAX 9103C Week 6 instructions ask for
Week 6 asks for the findings section of your consulting study, written for readers inside the organization as well as faculty. Report each finding with its evidence sources and an honest statement of strength, and apply that same form whether the finding pleases or troubles a reader. Give the overall picture first, usually with a table that assigns cases to causes, and then state the findings one by one. Show where evidence from different periods or sources agrees and where it does not. Include a short statement of what the findings do not say, especially about individuals. Avoid adjectives that signal approval or disapproval. Cite theory only where it explains a pattern. Expect four to six pages, with the table carrying most of the numbers.
How this DBAX 9103C Week 6 example is built
The section opens with a paragraph on tone and the headline numbers: 214 jobs, 158 on time. A table then sorts the 56 late jobs by the stage where each lost the most days. Four findings follow under plain headings. Approvals took a median of 19 days against a 10-day template, with dates promised before permits were filed. The engineer's queue ran to a median of nine days and swelled when rollouts overlapped, which Hopp and Spearman's work on busy resources explains. Fabrication was close to plan, though wiring waited a night and the paint booth was down eleven days. Installation caused four late jobs. Short sections check each finding against both sides of the sale announcement, list what the findings do not claim and address the owner's expectation.
Reading the DBAX 9103C Week 6 rubric
The central test is consistency. Every finding should name its sources and its strength in the same pattern, and a reader should be unable to tell from the prose which ones the author found awkward to report. A summary table that accounts for every late job lets instructors check the arithmetic, and 31, 14, 7 and 4 adding to 56 earns trust. Labeling a finding as moderate where observation was thin shows calibration. Credit goes to the section on what the findings do not say, since it keeps them from being read as verdicts on people. Theory should explain, as the queueing source does, rather than decorate. A direct sentence telling the owner the evening crew is not the main cause shows the plain reporting the stage aims for.
Common DBAX 9103C Week 6 mistakes, and how to avoid them
A results section for a client tends to drift in tone without the writer noticing. After drafting, list each finding in a column and beside it the adjectives and hedges you used; uneven columns show where you softened or sharpened. Use the same three-part sentence pattern each time: what was found, from what evidence, how strong. Make sure the counts in your table sum correctly and agree with the prose. Never bury an unwelcome finding in the middle of a paragraph about something else. Keep recommendations out of this section; they belong later. If a group comes out well, say so in the same plain way. Our writers can help you set a consistent pattern for each finding in your own section.
Get a DBAX 9103C Week 6 example written to your instructions
Include the Week 6 prompt and rubric and list the questions your study addresses, noting which parts of the organization they touch. A results section written at one temperature is drafted inside 24-48h; there is no charge for the first. Findings in it concern an invented sign company, so no result belonging to the organization you studied appears anywhere outside your study.
More DBAX 9103C papers and DBA samples
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- DBAX 9103C Week 2: Work Account
- DBAX 9103C Week 3: Disruption Record
- DBAX 9103C Week 4: Anonymization Note
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- DBAX 9103C Week 7: Meeting Remarks Paper
- DBAX 9103C Week 8: Unwelcome Findings Paper
- DBAX 9103C Week 9: Access Limits Statement
- DBAX 9103C Week 10: Fairness Read Replies
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- DBAX 9103 Week 6: Results Section Paper
- DBAX 9102C Week 6: Remaining Unknowns Statement
- DBAX 9102 Week 6: Open Remainder Statement
- DBAX 9101C Week 6: Usable Answer Note
DBAX 9103C Week 6 questions, answered
Where can I find a free DBAX 9103C Week 6 sample paper?
The Week 6 findings section is on this page from its tone note to its table and four findings, open to anyone at no cost.
What caused most late installations in the DBAX 9103C Week 6 findings?
Permit and landlord approvals, which accounted for 31 of the 56 late jobs, with a median wait of 19 days against a 10-day template.
Was the evening crew the main cause of delays?
No. Fabrication delayed only 7 late jobs, and evening output per labor hour was within the day shift's range.
How is the strength of each finding shown?
Every finding states its evidence sources and is labeled strong or moderate in the same pattern.
What do the findings not say?
They assess no individual's performance and do not promise that faster approvals alone would restore the earlier on-time rate.