DDBA 9000 · Week 5

DDBA 9000 Week 5 business application section example

Doctoral Study Completion Walden University Free custom sample in 24 to 48h

An applied doctoral study is judged in the end by what an organization could do with it, and the section making that case goes to the committee on its own. The DDBA 9000 submission for Week 5 is that closing section, drafted for a study of how office managers at small medical practices reduced insurance claim denials, with every recommendation priced and measured.

What this page holds

Submitted as its own milestone, the Week 5 section turns findings into recommendations naming who acts, what it costs, which metric shows progress and what trade-off it carries. Searches like "ddba 9000 week 5 assignment example", "ddba9000 week 5 sample" and "ddba 9000 week 5 example" land here.

What a finished DDBA 9000 Week 5 business application section looks like

Eight to ten pages in four parts. A brief overview restates the purpose and the three themes. The application part explains how each theme bears on practice managers' work: front-desk eligibility checks, coding review before submission, and tracking denials by payer. Recommendations follow in a table of action, finding, owner, cost and metric. One row: assign a staff member to verify insurance eligibility two days before each appointment, supported by the theme on front-end errors, owned by the office manager, costing about a quarter of one position's time, and measured by the share of claims denied for eligibility. Kaplan and Norton's balanced scorecard spreads the metrics across financial, customer, internal process and learning perspectives. Trade-offs close the part; implications beyond the practices and further research end the section.

How a DDBA 9000 Week 5 example is structured

The section moves from evidence to action. The overview is short, since the committee has read the findings; its only job is to set up what follows. Application comes next, theme by theme, stating what each finding means for the work practice managers do. The recommendation table is the center of the section and follows the order of the themes, so every action points back to the finding that justifies it. Each row must fill every column, because an action without an owner, a cost or a metric is incomplete. The trade-offs paragraph follows the table rather than hiding inside it, because a committee wants to see that the author weighed what each action costs besides money. Implications for the wider community and recommendations for research come last, each kept within what five practices can support.

Findings restated, briefly

Two paragraphs remind the reader of the purpose and the three themes. A long restatement would spend pages on what the committee already accepted at the previous milestone.

What each theme means for the work

Front-end errors, coding review and payer tracking are each translated into a practice manager's daily decisions. This is where framework and findings become something an office could change on Monday.

A table with no empty cells

Action, finding, owner, cost, metric. A recommendation that cannot name who carries it out or how success would be measured is not yet a recommendation, and the table shows that at a glance.

Metrics in four perspectives

The balanced scorecard places denial rate among financial measures, patient wait under customer, rework time under internal process and coder training under learning. The spread keeps the section from measuring only money.

Trade-offs stated

Eligibility checks add staff time and can lengthen check-in. The paragraph names each cost, estimates it where the findings allow, and says which practices might reasonably choose differently.

Where marks go in DDBA 9000 Week 5

Reviewers read this section asking whether a practice manager could act on it next week. Recommendations phrased as general advice, improve communication or invest in training, with no owner, cost or measure, are the characteristic failure. Credit rises when each recommendation traces to a named theme; an action that sounds sensible but rests on no finding is removed at review. The metric column is weighted heavily, since a plan that cannot show whether it succeeded cannot be evaluated. Trade-offs earn distinct credit, because ignoring what an action costs in time, money or patient experience is the gap reviewers of applied work look for. The framework is judged by use. Claims about the wider health system, resting on five small practices, draw comment, and research recommendations should grow out of the study's limits.

Get a DDBA 9000 Week 5 example written to your instructions

Your themes in a sentence each, the Week 5 prompt and rubric, and whatever you know of the organizations' costs and constraints are enough to start. A model section with recommendation table and trade-offs is turned around in 24-48h, with no fee the first time. Costs and metrics in it describe imagined practices, so the figures in your section come from your partner organizations.

DDBA 9000 Week 5 questions, answered

How specific should cost estimates be?

As specific as the evidence allows, and labeled accordingly. If participants described staffing costs, the estimate can use their figures; if not, a range based on published wage data or the organization's own budget is reasonable, stated as an estimate. What matters is that the committee and the organization can see the order of magnitude and its basis. An unpriced recommendation leaves its most practical question unanswered.

Can recommendations go beyond what participants described?

Only if they follow from the findings. A recommendation may combine several themes or apply a framework to them, and that is expected in applied work. It should not introduce an action no participant, document or finding supports, however sensible it seems. Ideas drawn from the author's own experience belong in recommendations for further research, labeled as such, rather than in the action table.

Why include metrics for every recommendation?

Because the organization needs to know whether an action worked, and the committee needs to see that the author thought about evaluation. A metric also sharpens the recommendation itself: deciding to measure the share of eligibility denials forces the action to target eligibility specifically. Recommendations without measures tend to be too broad to test, and too broad to fail, which makes them hard to trust.