| Course | WMBA 6623 Enterprise and Project Risk Management |
|---|---|
| Week | Week 4 |
| Paper type | Qualitative risk scoring |
| Length | About 770 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Master of Business Administration (MBA) |
| Updated | October 2026 |
Free sample paper for WMBA 6623 Week 4
Qualitative Scoring for the Loan Servicing Consolidation: Two Five-Level Scales Anchored in Frequency, Dollars, Days and Borrowers, Twelve Scored Risks Ranked and a Five-by-Five Matrix With the Entries Placed
Student Name
Walden University
WMBA 6623: Enterprise and Project Risk Management
Instructor Name
Month Day, Year
Qualitative Scoring for the Loan Servicing Consolidation: Two Five-Level Scales Anchored in Frequency, Dollars, Days and Borrowers, Twelve Scored Risks Ranked and a Five-by-Five Matrix With the Entries Placed
Why Define the Scales First
Scoring risks as high, medium or low without definitions produces numbers that reflect the scorer's mood more than the risk. ISO 31000 asks organizations to set their risk criteria before assessing risks (International Organization for Standardization, 2018), and the scales below are those criteria for this project. This document defines five-level scales for likelihood and consequence on Lakeshore Community Bank's loan servicing consolidation, a composite case, scores twelve threats from the register against them and places the results on a matrix. Likelihood is anchored to probability over the fourteen-month project. Consequence is anchored to three measures, cost, schedule and borrower or regulatory effect, and a risk takes the highest level reached on any of the three.
The Scales
Table 2
Consequence Scale
| Level | Cost | Schedule | Borrowers and regulators | |
|---|---|---|---|
| 1 | Under $10,000 | Under 1 week | No borrower effect | |
| 2 | $10,000 to $50,000 | 1 to 2 weeks | Under 100 accounts affected, corrected without harm | |
| 3 | $50,000 to $150,000 | 2 to 4 weeks | 100 to 1,000 accounts affected, or a minor examination comment | |
| 4 | $150,000 to $250,000 | 4 to 8 weeks | Over 1,000 accounts affected, or an examination finding | |
| 5 | Over $250,000 | Over 8 weeks | A regulatory violation requiring restitution, or enforcement action | |
A risk is scored at the highest level reached on any of the three columns.
Scored and Ranked Risks
Table 3
Scored Risks, Ranked
| Rank | ID | Risk event | Likelihood | Consequence | Score | |
|---|---|---|---|---|---|
| 1 | R02 | Escrow analysis runs without the analyst's knowledge | 4 | 5 | 20 | |
| 2 | R04 | Center cannot fill 20 positions by cutover | 4 | 4 | 16 | |
| 3 | R11 | Loss mitigation files lost or delayed in transfer | 3 | 5 | 15 | |
| 4 | R10 | Cutover-quarter escrow analyses late or wrong | 3 | 5 | 15 | |
| 5 | R01 | Local configuration settings missed | 3 | 4 | 12 | |
| 6 | R05 | Key staff leave before closure | 4 | 3 | 12 | |
| 7 | R06 | Payment routing notice late | 2 | 5 | 10 | |
| 8 | R09 | Borrower servicing notices late or incomplete | 2 | 5 | 10 | |
| 9 | R07 | Vendor conversion team unavailable | 3 | 3 | 9 | |
| 10 | R20 | Lease buildout late | 3 | 3 | 9 | |
| 11 | R13 | Paper documents lost in move | 2 | 4 | 8 | |
| 12 | R16 | Borrowers react negatively to closure | 3 | 2 | 6 | |
Ties are broken by consequence, so a risk with severe effects ranks above a more frequent minor one.
The Matrix
Table 4
Five-by-Five Risk Matrix With Entries Placed
| Likelihood | Consequence 1 | Consequence 2 | Consequence 3 | Consequence 4 | Consequence 5 | |
|---|---|---|---|---|---|
| 5 Almost certain | None | None | None | None | None | |
| 4 Likely | None | None | R05 | R04 | R02 | |
| 3 Possible | None | R16 | R07, R20 | R01 | R10, R11 | |
| 2 Unlikely | None | None | None | R13 | R06, R09 | |
| 1 Rare | None | None | None | None | None | |
High band, scores 15 and above: R02, R04, R10 and R11.
Reading the Results
Two things stand out. First, the high band is filled by risks with consequence 4 or 5, and three of the four are high because of borrower and regulatory effects rather than cost. That is the scale doing its job: a $40,000 problem that harms 1,200 borrowers should outrank a $200,000 problem that harms none. Second, R06 and R09 sit at consequence 5 with low likelihood. Their scores of 10 put them in the medium band, but a single failure on either would be serious. They should be watched for changes in likelihood rather than ranked by score alone.
Scoring was done in a calibration session with the project manager, the compliance officer and the mortgage servicing manager. Where they disagreed by more than one level, they discussed the evidence and agreed on a score. The biggest disagreement was R05, staff leaving early, which the servicing manager rated 5 and the project manager 3; they settled on 4 after reviewing resignations at the 2019 conversion.
Limits of Qualitative Scoring
Risk matrices have a known flaw: two risks with very different expected losses can land in the same cell, and near the edges of a band the matrix can put them in the wrong order (Cox, 2008). Hubbard (2020) argues that ordinal scales give a false sense of precision and that organizations should estimate probabilities and dollar impacts directly where they can. This matrix is therefore used to sort attention, not to allocate money. The risks in the high band, and the two high-consequence risks in the medium band, will be quantified in dollars in the next stage of analysis.
References
Cox, L. A., Jr. (2008). What's wrong with risk matrices? Risk Analysis, 28(2), 497-512. https://doi.org/10.1111/j.1539-6924.2008.01030.x
Hubbard, D. W. (2020). The failure of risk management: Why it's broken and how to fix it (2nd ed.). Wiley.
International Organization for Standardization. (2018). Risk management: Guidelines (ISO Standard No. 31000:2018).
What the WMBA 6623 Week 4 instructions ask for
The qualitative scoring assignment asks students to define scoring scales and apply them consistently. Instructors expect three objects: a pair of definition tables for likelihood and consequence, each with five levels described in measurable terms; a scored list of ten to fifteen risks with both ratings, a product score and a rank; and a five-by-five matrix with the risks placed by number. Likelihood is usually anchored to frequency or probability over the project's life, and consequence to cost, schedule and safety or customer outcomes. A short discussion explains notable placements and the limits of the method. A short note on how scores were agreed, such as a calibration session, shows that the scales were applied consistently. Ties need a stated rule.
Inside the WMBA 6623 Week 4 example
The paper explains why scales come first and cites ISO 31000 on setting risk criteria. A likelihood table gives five probability ranges. A consequence table defines five levels across cost, schedule and borrower or regulatory effect, with the highest level governing. A ranked table scores twelve risks with a tie-breaking rule. A matrix places each risk by number and identifies the high band. A discussion explains why borrower harm drives the high band, flags two low-likelihood, high-consequence risks and describes the calibration session. A limits section cites Cox and Hubbard and says the matrix sorts attention, not money. Margin comments flag the scale definitions and the consequence rule. The matrix uses entry numbers rather than names to keep the grid readable.
WMBA 6623 Week 4 rubric: what earns full marks
Graders reward scales defined in measurable terms that two scorers could apply consistently. A scored and ranked list with a stated tie-breaking rule shows care. A correctly populated matrix demonstrates the method. Discussion of notable placements, especially low-probability, high-consequence risks, shows judgment. Describing how disagreements were resolved adds credibility. Acknowledging the limits of qualitative scoring, with research support, shows maturity. Scores that change the priority order, rather than confirming what intuition already said, show the matrix doing real work. Papers that explain which risks deserve attention despite medium scores show the strongest judgment. Consistent use of one scale across all risks is essential.
WMBA 6623 Week 4 help: mistakes that cost marks
Write your likelihood scale as probability ranges over the project's life and your consequence scale in dollars, days and effects on people. Decide how to combine several consequence measures. Then score each risk with at least one other person and discuss disagreements. Rank the results and place them on the matrix by number. Students often lose marks by using undefined labels such as moderate, by mixing up likelihood and consequence or by treating the matrix as precise. Another frequent gap is ignoring risks that score medium but would be catastrophic. Note them separately. If you would like a custom sample scoring matrix for your project, send us your risk list.
Get a WMBA 6623 Week 4 example written to your instructions
Upload the Week 4 prompt with its rubric and the risk list your section gave you, and the desk scores it against defined levels rather than asserting ratings, with the defense paragraphs written out underneath. The opening sample carries no charge and comes back in 24-48 hours, ready to read against your own placements.
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WMBA 6623 Week 4 questions, answered
Where can I find a free WMBA 6623 Week 4 sample paper?
The qualitative risk scoring matrix for a bank project is reproduced in full below.
How is likelihood defined?
As probability ranges over the project's life, from under 5 percent to over 80 percent.
How is consequence defined?
Across cost, schedule and borrower or regulatory effect, taking the highest level reached.
Which risks are in the high band?
The escrow analyst risk, staffing, cutover-quarter escrow analyses and loss mitigation transfers.
What are the method's limits?
Matrices can rank risks inconsistently, so they guide attention rather than budgets.