| Course | BU 242 Creating Customer Value in the Digital Age |
|---|---|
| Unit | Unit 8 |
| Paper type | Improvement recommendation |
| Length | About 1,150 words, 7 pages |
| Format | APA 7 student paper |
| School | Herzing University |
| Program | BS in Business Management |
| Updated | September 2026 |
Free sample paper for BU 242 Unit 8
Ask About the Window Before the Cart: An Improvement Recommendation for One Product Page Step, With What It Takes to Build and How to Know It Worked
Student Name
Business, Herzing University
BU 242: Creating Customer Value in the Digital Age
Instructor Name
April 29, 2026
Ask About the Window Before the Cart: An Improvement Recommendation for One Product Page Step, With What It Takes to Build and How to Know It Worked
This course has followed one purchase, from the Sunday afternoon Tasha Morrow searched for a new window unit at Keystone Home Supply, a composite chain, to the Tuesday her refund cleared. The analysis found that a fast, well-run path delivered negative customer value because the product page never asked what kind of window the unit would go in. This paper recommends one change to one step of the path. It carries the problem forward with its evidence, describes the fix as an alteration to a specific screen, estimates what building it would take, writes the buyer's experience before and after, and says what Keystone could measure to know whether the change worked.
The Problem, Carried Forward
The problem is that room air conditioner product pages at Keystone do not show which window types a unit fits, and the search filters do not let buyers narrow results by window type. The evidence comes from earlier units. The purchase path in Unit 3 showed the buyer confirming capacity and width on the specifications tab and ordering, then discovering the mismatch more than three hours later. The pain point analysis in Unit 4 ranked the missing window type first of six, scoring highest on both frequency and cost, because it caused a fourteen-and-a-half-hour loss of cooling, a second purchase and a return. The touchpoint audit in Unit 6 found the specifications tab the weakest of twelve digital touchpoints when judged for error prevention (Nielsen, 2024), and the service recovery analysis in Unit 7 found that even a store manager traced the failure to the listing.
The Fix
The recommended change is to add a fit check to the room air conditioner product page, placed directly above the add-to-cart and pickup buttons. The fit check asks two questions. The first asks how the window opens, answered by tapping one of three simple drawings: a window that opens up and down, one that slides side to side, or one that cranks outward. The second is the approximate size of the room, chosen from four ranges. If the answers match the unit, a green line confirms the fit and shows the window width range to measure against. If they do not match, the panel says so plainly and lists up to three units that do fit, starting with those available for pickup today at the buyer's store.
The fit check is optional; a buyer can skip it and order as before. It changes one step, the product page evaluation, and nothing else in the path. Window type also becomes a search filter, since the same product data powers both.
What It Would Take
Three kinds of work are involved, and all figures here are estimates for a retailer of Keystone's composite size. The first is product data. Every room air conditioner listing needs a window type field. Manufacturers already state window compatibility in manuals and specification sheets, so a merchandising analyst could fill the field for an assortment of about 140 room air conditioner listings in roughly one to two weeks and add it to the template suppliers complete for new items. The second is the page component itself: a small interactive panel with two questions and a results list, built by a product team of a designer and two developers in roughly three to four weeks, reusing the site's existing product recommendation module for the list of fitting units. The third is room size guidance. The four room size ranges and their matching capacities come straight from the federal sizing chart, which pairs 6,000 BTU with rooms of 150 to 250 square feet and 7,000 BTU with 250 to 300 (ENERGY STAR, n.d.).
Nothing else has to move around the change. Checkout, pickup and returns stay as they are. The main dependency is timing: the change should be live before the first hot weeks of the season, when same-day replacers arrive.
Before and After
Before the change, Tasha saw a headline claiming the unit cooled up to 350 square feet, confirmed on the specifications tab that her window was wide enough, ordered in four minutes, carried a 58-pound box up her stairs and learned from a printed manual that the unit would not fit. She spent the night at her sister's and started again the next morning.
After the change, Tasha would see the fit check above the pickup button, tap the drawing of a sliding window and choose the smallest room range. The panel would tell her the 8,000 BTU unit fits windows that open up and down, not hers, and show a sliding-window unit and a portable unit available at her store that afternoon, each sized for her room. She would spend perhaps thirty extra seconds on the page and have a working unit that evening. Dixon et al. (2010) argued that reducing customer effort does more for loyalty than delighting customers; this change adds a moment of effort to remove hours of it.
How Keystone Would Know It Worked
The change should be tested, not assumed. Kohavi et al. (2020) treat online controlled experiments, where a coin flip decides whether each shopper sees today's page or the new one and the two groups' purchases are then compared, as the soundest test of whether a site change actually causes the gain a team hopes for. Keystone could show the fit check to half of room air conditioner visitors for the first six weeks of the season. The primary measure would be the share of room air conditioner orders returned with the reason "does not fit." Secondary measures would be the conversion rate from product page to order, to confirm the added step does not drive buyers away, and the average order value, since some buyers would move to smaller, cheaper units.
The recommendation should be judged successful if fit returns fall noticeably in the test group while conversion stays within a small margin of the current page. A modest drop in average order value would be acceptable, because a smaller unit that stays sold is worth more to the retailer than a larger one that comes back with a restocking dispute. If conversion falls sharply, the panel can be made collapsible rather than removed, and the window type filter would remain.
Conclusion
One missing line on one product page turned a four-minute checkout into a day without cooling, a second purchase and a two-day refund. The fit check recommended here adds that line in a form a hurried buyer will actually use, costs a few weeks of work using data manufacturers already provide, and can be tested within a single summer. For the same-day replacer segment this course has studied, it is the change that would most increase the value each purchase delivers.
References
Dixon, M., Freeman, K., & Toman, N. (2010). Stop trying to delight your customers. Harvard Business Review, 88(7/8), 116-122.
ENERGY STAR. (n.d.). Room air conditioners: Sizing guide. U.S. Environmental Protection Agency. https://www.energystar.gov/products/room_air_conditioners
Kohavi, R., Tang, D., & Xu, Y. (2020). Trustworthy online controlled experiments: A practical guide to A/B testing. Cambridge University Press.
Nielsen, J. (2024, January 30). 10 usability heuristics for user interface design. Nielsen Norman Group. https://www.nngroup.com/articles/ten-usability-heuristics/
Reading the BU 242 Unit 8 instructions
The Unit 8 instructions ask you to recommend an improvement to the customer experience you have studied. Most versions want one focused change rather than a list, tied to a problem documented in earlier units. You are usually asked to describe the change precisely, estimate what it would take to implement, explain how it would affect the customer and propose a way to measure its success. Rough estimates are acceptable when clearly labeled. Draw on evidence already gathered in the course, in the usual APA 7 format, rather than introducing a new problem at the end.
Inside the BU 242 Unit 8 example
The sample opens by restating the problem with evidence from four earlier units, so the recommendation rests on the whole case. The fix is described as a panel on one screen, with its placement, two questions, drawings and behavior when the answers match or do not. A section on implementation separates product data, the page component and sizing guidance, each with a rough time estimate and a named source for the capacities. The before and after follows the same buyer through both versions of the page. The measurement section proposes a controlled experiment, names a primary measure and two guardrails, and sets a decision rule, including what to do if conversion falls. A short conclusion ties the fix back to customer value.
BU 242 Unit 8 rubric: what full points look like
The rubric for the final unit usually weighs the focus and clarity of the recommendation, its connection to earlier analysis, implementation detail, the measurement plan and writing quality. Focus earns full points when the paper proposes one change to one identifiable step, as the fit check does. The connection criterion rewards evidence carried forward from earlier units rather than new claims. Implementation detail is judged by specific tasks, rough effort and dependencies, all labeled as estimates. The measurement plan scores highest when it names a method, a primary measure, safeguards and a rule for deciding success in advance. Clear before and after writing and correct APA citations support the final criterion.
BU 242 Unit 8 help: mistakes that cost points
The most common mistake in Unit 8 is recommending several changes at once, which spreads the analysis thin and makes success impossible to measure. Another is proposing a fix unrelated to the problems found earlier. Students often describe the change vaguely, such as improve the website, instead of naming the screen and what it will show. Implementation is frequently skipped or given as an unexplained cost. Measurement plans often say the company should track satisfaction without naming a measure or a threshold. Finally, consider side effects. Adding a step might reduce conversion, and the sample plans for that with a guardrail measure and a fallback design rather than assuming the fix is free.
Get a BU 242 Unit 8 example written to your instructions
Attach the Unit 8 instructions and the BU 242 rubric, plus the earlier analysis your assignment builds on. We write a custom example that carries one documented friction point forward, locates the fix at a named step, estimates the effort in the open and closes on what the change leaves unsolved. First custom sample free, returned in 24 to 48 hours.
More BU 242 papers and business management samples
- BU 242 Unit 1: Customer value concepts paper
- BU 242 Unit 2: Segment definition
- BU 242 Unit 3: Purchase-path map
- BU 242 Unit 4: Pain point analysis
- BU 242 Unit 5: Value proposition
- BU 242 Unit 6: Digital touchpoint audit
- BU 242 Unit 7: Service recovery analysis
- BU 106 Unit 8: Company analysis with recommendation
- BU 217 Unit 8: Recommendation with defense
- BU 231 Unit 8: Market entry recommendation
- BU 321 Unit 8: Statistical decision memo
BU 242 Unit 8 questions, answered
Can the recommendation cover more than one fix?
Only where the instructions ask for a set, and then rank them and develop the first properly. The usual reason a paper offers three is that none of them was worked out far enough to stand alone. One change with a location, an estimate and a test behind it demonstrates more of what this unit grades than a list of plausible ideas.
How precise should the cost estimate be?
Precise enough to show you know what the work involves and vague enough to stay honest. Say who would do it, roughly what scale of effort it is and what else it would disturb. Label the whole passage an estimate. Nobody outside a company can price its internal work, and a confident figure weakens the proposal resting on it.
Do I need to prove the fix would work?
No, and claiming proof is the error. What the paper owes is a reason the change addresses the friction you documented, and a statement of what the firm could watch to find out. Naming the observation that would show the problem persisting is worth more credit than any projection, because it shows the proposal could be wrong.
Where can I find a free BU 242 Unit 8 sample paper?
You can read the full BU 242 Unit 8 improvement recommendation above for free, with its implementation estimate and measurement plan. To get a recommendation built on your own course case, share the final prompt and a custom example will be written at no charge, usually within two days.
Does the BU 242 Unit 8 fix need a test plan?
Most rubrics reward one. The sample proposes a controlled experiment with a primary measure, two safeguard measures and a decision rule set before the test. A simpler plan, such as comparing return rates before and after, is acceptable if you explain its limits.