MGMT 8525M Week 4 Inference Memo Example

Course	MGMT 8525M Big Data Decision Making and Management
Week	Week 4
Paper type	Inference memo
Length	About 570 words, 4 pages
Format	Memo, APA 7 citations
School	Walden University
Program	PhD in Management
Updated	October 2026

Free sample paper for MGMT 8525M Week 4

Memorandum

To: Head of Retention, Lumenleaf Streaming

From: Decision Analytics, doctoral student

Date: November 3, 2025

Re: Whether the retention discount pattern justifies a company-wide rollout

Classification

The association between retention discounts and lower churn justifies an experiment, not a rollout. Before the company offers the discount to all at-risk subscribers, it should test the offer on a random sample of at-risk customers who did not ask for it.

What this page is doingThe memo states its classification first, act, test or watch, so the reader knows the answer before the reasoning.

The Gap in Plain Units

Over the past year, 14,200 subscribers received the three-month half-price retention discount. Of those, 18 percent canceled within six months. Among 162,000 subscribers flagged as at risk who did not receive it, 31 percent canceled. The gap is 13 percentage points. If the discount caused that gap, extending it to all flagged subscribers would keep roughly 21,000 more of them, at a cost of about $2.9 million in discounts.

Who Got the Offer

The discount was not given at random. Agents offered it only to subscribers who phoned customer service to cancel or complain, about 8 percent of the at-risk group. Customers who call and reach a person differ from those who do not: they are more engaged, more likely to have a specific fixable complaint and more likely to stay once someone listens. The comparison between discount recipients and other at-risk subscribers is therefore confounded by who called. Holland (1986) set out the basic problem of causal inference, that we never observe the same unit both treated and untreated, so a causal claim is only as good as the untreated group's resemblance to what the treated would have looked like without treatment. Here it does not.

What this page is doingThe memo identifies who received the treatment, because the selection explains the association at least as plausibly as the price does.

Viewpoints Applied, Not Listed

Hill (1965) offered several viewpoints for judging whether an association is causal, while stressing that none is a test that must be passed. Three are most useful here. Temporality is satisfied: the discount preceded the outcome. The gradient is uncertain: the company has offered only one discount level, so we cannot see whether larger discounts produce larger effects. Experiment, Hill's strongest viewpoint, is absent: no one has changed the offer while holding everything else constant. Strength of association is real but cannot distinguish the discount's effect from the caller effect, since both would produce a large gap.

A Test That Could Change the Call

Following the practices Kohavi et al. (2020) set out for online controlled experiments, the company should randomly select 20,000 at-risk subscribers who have not called, offer half of them the discount by email and leave the other half untouched. The primary metric, cancellation within six months, and the stopping rule, a single analysis at six months with no early peeking, should be fixed and recorded before launch. A secondary metric, revenue per subscriber over twelve months, guards against keeping customers at a loss. If the treated group's cancellation rate is at least 5 points lower and revenue holds, a rollout is justified. If the gap is small, the current pattern reflected who called, and the money is better spent on service. Either result is useful, because it replaces a guess about the discount with a measured effect on customers who never asked for it.

What Would Change the Classification

If the experiment cannot run, the memo would move the pattern to watch, not act: the company would track whether churn among callers who decline the offer differs from churn among callers who accept it.

References

Hill, A. B. (1965). The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine, 58(5), 295-300. https://doi.org/10.1177/003591576505800503

Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945-960. https://doi.org/10.1080/01621459.1986.10478354

Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy online controlled experiments: A practical guide to A/B testing. Cambridge University Press. https://doi.org/10.1017/9781108653985

What the MGMT 8525M Week 4 instructions ask for

Week 4 asks for a memo that sorts one association from a large dataset into grounds to act, grounds to experiment or grounds to keep watching. Address the memo to the person who would act. State your classification in the opening paragraph. Express the association in plain units, then examine how the comparison groups were formed, which is usually where confounding enters. Apply a few of Hill's viewpoints for judging causation, remembering that Hill offered them to inform judgment, not to be ticked off. Propose a test with its metric and stopping rule fixed before data are collected, and say what result would change your classification. Three to five pages in memo form with a To and Subject block is common.

Inside the MGMT 8525M Week 4 example

The sample's first paragraph classifies the discount pattern as grounds for an experiment. A section gives the gap in subscribers and dollars. The selection section explains that only callers received the offer and why callers differ, using Holland's account of causal inference. The viewpoints section applies temporality, gradient, experiment and strength, saying what each shows and does not. The test section proposes emailing the discount to a random half of 20,000 non-calling at-risk subscribers, with cancellation at six months as the primary metric, revenue as a secondary metric and a single prespecified analysis. A closing section says how the classification would change if the experiment could not run.

MGMT 8525M Week 4 rubric: what earns full marks

The analysis of how groups were formed earns the most credit. Memos that recommend rollout because the association is large, or reject it without examining selection, score low. Graders look for a classification stated up front, the association translated into business units, a specific confounder identified from how the treatment was assigned and Hill's viewpoints applied rather than listed. The proposed test should be concrete, with sample, metric and stopping rule fixed in advance. Saying what result would change the call shows the memo is decision-ready. Memo format, concise prose and accurate citations complete the marks. Proposals that test something other than the decision at hand earn less.

MGMT 8525M Week 4 help from the desk

The common error is treating a large, stable association as proof. Find out exactly how people ended up in each group; if anyone chose or was chosen, ask what else differs between them. Translate the effect into numbers a manager uses, such as subscribers kept and dollars spent. Use two or three of Hill's viewpoints that genuinely apply. Design a test you could actually run, and write its rules before you look at any data. Lead with the classification. A tutor can check your test design, and the retention discount memo above models each step. Keep the memo short; the reasoning matters more than the length.

Get a MGMT 8525M Week 4 example written to your instructions

Attach the Week 4 memo prompt, its rubric, and the association or case facts your section supplied. A classified memo comes back in 24-48h, the first request free. If the prompt fixes a reader, say who, because the classification is argued in that person's terms and pitched at their level of technical comfort.

More MGMT 8525M papers and PhD in Management samples

MGMT 8525M Week 4 questions, answered

Where can I find a free MGMT 8525M Week 4 sample paper?

The retention discount inference memo, the Week 4 sample, appears in full above.

How does the MGMT 8525M Week 4 memo classify the discount pattern?

As grounds to run an experiment rather than to roll the discount out to all at-risk subscribers.

Why is the discount comparison confounded?

Only subscribers who phoned to complain got the offer, and callers differ from non-callers in ways that affect churn.

Which of Hill's viewpoints does the memo use?

Temporality, gradient, experiment and strength of association, treated as aids to judgment rather than a test.

What test does the memo propose?

A randomized email offer to half of 20,000 at-risk subscribers, with six-month cancellation as the primary metric.