Control, rule and model arms, sized by script and bound by a stopping rule written in advance, make up Copperline's Unit 8 pilot design for MT362. Searches like "mt 362 unit 8 assignment example", "mt362 unit 8 sample" and "mt362 unit 8 example" land here.
What a finished MT362 Unit 8 pilot test design looks like
Nine pages and a one-page appendix holding the sizing script. The design names its population first: 58,200 active subscribers after removing pet-loss cancellations, customers without text consent and anyone who opted out of marketing. Arm A keeps the current $10 cancel-page offer; arm B adds the schedule calculator prompt and a skip offer whenever a schedule is edited; arm C adds model-timed offers from the Unit 5 ladder on top of B. Randomization is by subscriber, stratified by state and tenure. The primary measure is cancellation within 90 days of enrollment; guardrails are discount cost per subscriber, unsubscribes, complaints and the age-band detection ratio from Unit 7. The script's printout shows 6,220 per arm at a 16.5 percent baseline, a two-point minimum effect, 80 percent power and a 0.025 significance level per comparison.
How a MT362 Unit 8 example is structured
Decision before design: the opening paragraph states what each result would lead the chain to do, including the result that ends the model's candidacy. Every design choice then answers to that decision. The comparison group keeps the current offer rather than nothing, since the question is whether a change beats present practice. Two comparisons against control share the error budget, so the script uses a Bonferroni split and says why. Timing is argued from the calendar: enrollment in February, follow-up through May, away from holiday ordering and the spring flea season that lifts orders every year. The stopping rule allows one interim look at day 45, for harm only, with thresholds written in advance, and forbids ending early because the model arm looks ahead. A closing table lists what the pilot cannot answer, such as effects beyond 90 days.
What each result would decide
If neither arm beats control at the adjusted significance level, the chain keeps its current offer and drops the vendor. If only the rule does, it rolls out without a model. The model survives only by beating control and paying for its own discounts and fee.
Three arms, one population
Eligible subscribers are randomized individually, stratified by California or Oregon and by tenure band, so each arm carries the same mix. Anyone who cancels citing a pet's death leaves the pilot entirely rather than being counted as a failure.
The script and its printout
Twelve lines compute arm size from the baseline, minimum effect, power and adjusted significance level, then print each input beside the result. A three-point minimum effect is shown too, cutting each arm to about 2,700.
Guardrails with numbers
Complaints above 0.5 percent of recipients, unsubscribes at double the control rate, or an age-band detection ratio under 0.8 halt the model arm at the day-45 review. Each threshold was agreed with the director before enrollment.
What ninety days cannot show
The design admits its limits: whether saved subscribers stay a year, whether discounts shift future expectations, and whether results hold outside the two states. Each becomes a question for the adoption proposal.
Where marks go in MT362 Unit 8
Without a comparison group, or with one picked after launch, a pilot cannot separate the change from the season, and MT362 graders spot the gap immediately. A design earns more when the decision each result would trigger is stated first, and when the control group represents current practice rather than nothing. Without its inputs, a sample size cannot be checked; showing baseline, minimum effect, power and significance, ideally from a script whose output is reproduced, is what earns marks for rigor. Stopping rules separate strong designs from launches in disguise: one pre-set look, for harm only, reads as discipline. Guardrail measures matter here because a pilot can succeed on its main figure while harming customers elsewhere. Papers listing what the pilot cannot answer show the most mature judgment.
Get a MT362 Unit 8 example written to your instructions
What change would your pilot test, and what baseline figures does the case give? Pass those on with a copy of the Unit 8 assignment, flagging whether a sample size calculation is required. A custom design, free for a first request, returns within 24-48h with its comparison group, stopping rule and sizing inputs all written out.
MT362 Unit 8 questions, answered
Do I need to calculate a sample size?
Often yes, and a sized sample strengthens the design even where the prompt leaves it optional. Show the inputs: baseline rate, the smallest effect worth acting on, the power you want and the significance level. A spreadsheet or short script is fine, and graders tend to credit a figure they can reproduce over a larger number stated without support.
What is a stopping rule and why does it matter?
It is a condition, set before launch, under which the pilot ends early or ends on schedule regardless of how results look midway. Without one, teams tend to stop when numbers look good, which inflates apparent success. A good rule allows early stopping for harm and requires the full period before declaring a benefit.
How long should a marketing pilot run?
Long enough to measure the outcome that matters and to outlast novelty. For retention, that often means following each customer for a full billing or delivery cycle or longer. Avoid periods distorted by holidays or seasonal demand unless the case is about them, and state why the chosen window is representative.