| Course | DDBA 8521 Seminar in Change Management |
|---|---|
| Week | Week 4 |
| Paper type | Incentive analysis |
| Length | About 770 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DDBA 8521 Week 4
Fix Root Causes, Said the Directive; Close Tickets Fast, Said the Review: An Incentive Analysis of a Software Company's Support Engineers and What Their Predictable Response Reveals About the Organization
Student Name
Walden University
DDBA 8521: Seminar in Change Management
Instructor Name
Month Day, Year
Fix Root Causes, Said the Directive; Close Tickets Fast, Said the Review: An Incentive Analysis of a Software Company's Support Engineers and What Their Predictable Response Reveals About the Organization
The Directive and the Measure
In January 2026, the vice president of customer support at a composite software company in Austin that sells scheduling software to medical practices issued a directive to her 46 support engineers: "Stop closing tickets with workarounds. Find and fix root causes, even if it takes longer." The directive followed a year in which the same 12 problems produced about 40 percent of all tickets. But the engineers' quarterly reviews, which set their bonuses and determine promotion, still rested on two measures: tickets closed per hour worked and customer satisfaction scores on closed tickets. Neither measure had changed.
The Predictable Response
Engineers did what the measures rewarded. In the first quarter of 2026, tickets closed per hour fell only 3 percent, and the share of tickets referred to the engineering team for root-cause fixes rose from 4 percent to 6 percent, against an informal goal of 20 percent. In interviews, engineers said they agreed with the directive and wanted to fix root causes, but a root-cause investigation could take a full day, during which their closure rate would collapse. One said: "I can fix the problem for everybody, or I can make my numbers. I can't do both."
Kerr (1975) predicted that people follow what an organization pays for, not what it says it wants, whenever the two diverge. The directive hoped for root-cause work; the review rewarded fast closure. The engineers' response was not resistance to the directive; it was compliance with the measures.
What the Response Reveals
The response reveals three things about the organization. First, the measurement system carries more authority than the vice president's directive. Engineers reasoned, correctly, that a directive without a change in review criteria was a statement of hope, while the review was where consequences lay. Second, the organization's change process separates policy from measurement: the directive came from the support leadership, while review criteria are owned by human resources and change once a year. Third, the closure-rate measure has shaped what the organization knows about itself. Because fast closure is rewarded, the same problems recur and are closed again, and the organization's records count each recurrence as productivity.
Reichers et al. (1997) found that cynicism about change grows when employees see past change efforts fail or see leaders say one thing and reward another. Two engineers mentioned an earlier initiative in 2024, a push for knowledge base articles, that was dropped when it lowered closure rates. The engineers' skepticism about the new directive had a history.
What Would Change the Response
If the organization wants root-cause work, the measures must move. Options include counting root-cause referrals that engineering accepts, measuring recurrence of the same problem across customers, weighting closure rates by ticket type or setting aside a share of each engineer's hours for root-cause work that is excluded from the closure rate. Each option has its own risk of gaming, which should be watched. Weick and Quinn (1999) noted that changes often fail when introduced as episodic announcements into systems that continue to run on established routines; the review cycle is one such routine.
Who Can Change the Measures
If the measures must move, the next question is who can move them. The vice president owns the directive but not the review criteria, which human resources sets once a year for all customer-facing teams. Changing them mid-year would require the chief people officer's agreement and an exception for the support team. The vice president could act sooner within her own authority by setting aside two hours of each engineer's week as protected root-cause time, excluded from the closure-rate calculation her managers use in weekly one-on-ones, while she negotiates the formal change. That interim step would not alter bonuses, but it would show engineers that the directive has some force behind it.
What the Engineers Proposed
When asked what would make root-cause work possible, engineers offered specific ideas: count a root-cause fix accepted by engineering as the equivalent of a set number of closed tickets, and publish a monthly list of recurring problems retired. Both ideas would let the measures reward what the directive asks for. That the engineers had ready answers supports the analysis: they were not opposed to the directive, only constrained by how they were judged.
Limits
The analysis rests on one quarter of data, and part of the small rise in referrals may reflect engineers' genuine effort despite the measures. A second quarter will show whether the pattern holds.
References
Kerr, S. (1975). On the folly of rewarding A, while hoping for B. Academy of Management Journal, 18(4), 769-783. https://doi.org/10.2307/255378
Reichers, A. E., Wanous, J. P., & Austin, J. T. (1997). Understanding and managing cynicism about organizational change. Academy of Management Executive, 11(1), 48-59. https://doi.org/10.5465/ame.1997.9707100659
Weick, K. E., & Quinn, R. E. (1999). Organizational change and development. Annual Review of Psychology, 50(1), 361-386. https://doi.org/10.1146/annurev.psych.50.1.361
Reading the DDBA 8521 Week 4 instructions
Week 4 asks you to analyze a conflict between what an organization asks people to do and how it measures and rewards them. Quote the directive and describe the measures that govern performance reviews, bonuses or promotion. Report how people actually responded, with data if possible, and explain why the response was predictable. Then read the response as evidence about the organization: which carries more authority, the directive or the measures; who owns each; and what the measures have done to what the organization knows about itself. Consider any history that shaped people's skepticism. Explain what would have to change for the response to change, including who has the authority to change it. Cite research on incentives and change; most analyses run four or five pages.
Inside the DDBA 8521 Week 4 example
The analysis quotes the vice president's January 2026 directive and describes the review measures. It reports first-quarter results and an engineer's comment about fixing problems or making numbers, citing Kerr. A section reads the response as evidence: the measurement system outranks the directive, policy and measurement are owned by different departments and the closure measure has hidden recurring problems by counting each recurrence as productivity. Reichers and colleagues explain skepticism after a dropped knowledge-base push in 2024. A section offers measure changes, from counting accepted referrals to tracking recurrence, with Weick and Quinn. New sections explain that human resources owns the criteria, suggest protected root-cause hours as an interim step and report engineers' own proposals.
DDBA 8521 Week 4 rubric: what earns full marks
Instructors give most credit to the reading of behavior as evidence about the organization. Explaining the response as compliance with measures, rather than resistance to a directive, is the key reframing. Analysis earns depth when it identifies who owns the directive and who owns the measures, since that explains why the conflict persists. Data on the response, even from one quarter, strengthens the argument. Recognizing what the measures have done to organizational knowledge shows insight. Credit also goes to identifying history behind skepticism and to concrete options for change, with attention to who can make them. Sources should be applied to the case. Concrete data on the response strengthens every later claim.
DDBA 8521 Week 4 help from the desk
Students often blame employees for not following a directive. Start by listing everything people are measured and rewarded on, then compare it with what the directive asks. If they conflict, predict what people will do and check whether they did. Find out who owns each measure and how often it can change. Ask people what would make the directive possible; they often know. Look back for earlier initiatives that were dropped. Propose measure changes and name who must approve them. A tutor can help you map directives against measures in your organization. Show the data on how people actually responded, even for one quarter.
Get a DDBA 8521 Week 4 example written to your instructions
Attach the Week 4 prompt and rubric, and describe the directive and the measures if the organization is your own. An incentive analysis with its comparison table and a tested rival explanation comes back in 24 to 48 hours; the first costs nothing. Real review templates need not be shared, and paraphrased versions work.
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DDBA 8521 Week 4 questions, answered
Where can I find a free DDBA 8521 Week 4 sample paper?
The incentive conflict analysis appears lower on this page in full, free for every reader.
What conflict does the DDBA 8521 Week 4 analysis examine?
A directive to fix root causes while performance reviews still rewarded closing tickets quickly.
How did the support engineers respond?
Closure rates fell only 3 percent, and root-cause referrals rose just from 4 to 6 percent of tickets.
Why was that response predictable?
Reviews, bonuses and promotion still depended on speed, so engineers did what the measures rewarded.
What would change the response?
Review criteria that count accepted root-cause fixes or recurrence, which human resources must agree to change.