| Course | BU 242 Creating Customer Value in the Digital Age |
|---|---|
| Unit | Unit 4 |
| Paper type | Pain point analysis |
| Length | About 1,110 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 4
Fourteen Hours Lost to One Missing Line: A Pain Point Analysis of a Window Air Conditioner Purchase, Ranked by How Often Each Point Bites
Student Name
Business, Herzing University
BU 242: Creating Customer Value in the Digital Age
Instructor Name
March 4, 2026
Fourteen Hours Lost to One Missing Line: A Pain Point Analysis of a Window Air Conditioner Purchase, Ranked by How Often Each Point Bites
Unit 3 mapped the 24-hour path of Tasha Morrow, the composite Philadelphia renter who replaced a failed window air conditioner on a hot Sunday, found the new unit would not fit her sliding window and bought a portable unit on Monday. This paper returns to that map and looks for friction: each point where she lost time, money or confidence. It locates every pain point at a stage and a moment, states its cost in countable units, attaches evidence, ranks the list by how often each point is likely to occur for buyers in her segment as well as by how much it costs, examines the top-ranked point at length and closes by separating real friction from steps a buyer actually wants.
Why Effort Is the Right Measure
Dixon et al. (2010) argued, from research on customer service interactions, that reducing the effort customers must spend does more to build loyalty than trying to exceed their expectations. Their argument fits this purchase. Nothing in Tasha's path failed to impress her in the moment; the store was fast and polite. What cost her was effort and time spent on work the retailer could have prevented. Lemon and Verhoef (2016) likewise emphasize that customer experience is shaped by every touchpoint along a journey, including the ones a firm does not think of as part of the sale, such as installation at home. This analysis therefore counts effort in minutes, trips and dollars rather than in how annoying each moment felt.
The Pain Points, Located and Costed
Six pain points appear in the map. The first, P1, is that window type was missing from the product listing at stage 3, the evaluation step, and again from the search filters at stage 10. Its cost was an unusable $377 purchase, fourteen and a half hours without cooling, a night away from home and a second shopping trip. The evidence is the listing itself, which stated capacity but not window type, the installation manual that showed a double-hung window only after purchase, and the retailer's own help article on choosing an air conditioner, which exists because buyers ask the question.
The second, P2, is that capacity was described as a maximum room size at stage 3. The listing said the 8,000 BTU unit cooled up to 350 square feet. Measured against the federal sizing chart, which puts a sunny 143-square-foot bedroom at roughly 5,500 BTU (ENERGY STAR, n.d.), the unit was about 45 percent larger than the room called for. A 6,000 BTU unit on the same shelf was priced at $259, so the cost of this point was about $90 in extra price, plus a larger and heavier box.
The third, P3, is the wait at the pickup desk at stage 7: 18 minutes behind four other customers with one associate on duty, recorded on the pickup receipt. The fourth, P4, is carrying a 58-pound box up a narrow staircase alone at stage 7 and stage 8, a cost in effort and some risk of injury. The fifth, P5, is the ready time of one hour and 47 minutes at stage 6, which is reasonable for same-day pickup but long for a buyer with a hot room. The sixth, P6, is the in-store-only return, examined in Unit 7, which required a second trip of about 40 minutes.
Ranking by Frequency and Cost
Ranking by how annoying a point felt would put the pickup wait near the top, since it was the most visible frustration of the afternoon. Ranking by frequency and cost together gives a different answer. Each point is scored from 1 to 3 on how often it is likely to occur for same-day replacers and from 1 to 3 on cost when it does occur, and the two scores are multiplied. Frequency is judged from the segment defined in Unit 2: renters in older housing, where windows vary and buyers often do not know their window type, shopping under time pressure.
The ranking shows that P1 and P2 dominate. They are frequent because the segment is defined by not having measured the window, and they are costly because they decide whether the product can be used at all. The pickup wait, which felt worst in the moment, ranks fifth, tied on score with the heavy box and placed ahead of it only because it happens in every store visit.
| Pain point | Frequency (1 to 3) | Cost when it occurs (1 to 3) | Score | Rank |
|---|---|---|---|---|
| P1 Window type missing from listing and filters | 3: many older rentals have non-standard windows | 3: product unusable, day lost | 9 | 1 |
| P2 Capacity shown as maximum room size | 3: every listing uses the same claim | 2: about $90 overspent, heavier unit | 6 | 2 |
| P6 In-store-only return | 2: occurs whenever P1 occurs | 2: second trip of about 40 minutes | 4 | 3 |
| P5 Ready time under two hours | 3: every same-day order | 1: reasonable for pickup | 3 | 4 |
| P3 Wait at pickup desk | 2: common on hot weekends | 1: 18 minutes | 2 | 5 |
| P4 Carrying a 58-pound box | 2: common in walk-up rentals | 1: effort and minor risk | 2 | 6 |
The Top Pain Point, Examined
P1 deserves a closer look because it causes most of the other costs. When window type is missing, every later stage inherits the error: the buyer pays, waits, drives, carries and installs a product that was never going to work, and then must return it. The missing line is cheap to fix and expensive to leave alone. Window type is a fixed attribute of each product, known to the manufacturer and printed in every manual, so adding it to the listing requires only data the retailer already receives.
The point also explains why the segment feels this friction more than other buyers. A planned upgrader reading specifications at leisure may find the window type in a product's documents or measure first because they have time. A same-day replacer reads the headline claims, capacity and price, and moves on. Online shopping research points in the same direction. Figures collected by the Baymard Institute (2026) put the average documented cart abandonment rate at about 70 percent across 50 studies, and among buyers who abandon for reasons other than browsing, 17 percent cite a checkout that is too long or complicated. Retailers therefore try to shorten the path to purchase. That instinct is sound, but for this segment the shortest path left out the one question that mattered.
Friction Versus Wanted Steps
Not every step in a path is friction, and removing the wrong one would make the purchase worse. The first pause, when Tasha stopped to ask her landlord for permission, cost nine minutes but was a step she needed; it belongs to her situation, not to the seller's process. Guest checkout, which took four minutes, worked well, and forced account creation is among the reasons shoppers most often give for leaving a checkout unfinished (Baymard Institute, 2026). A short question about window type at stage 3 would add a few seconds to the path, but it would be a wanted step for this buyer because it prevents the largest cost in the map. The lesson for the recommendation in Unit 8 is that reducing effort sometimes means adding a step, not removing one.
References
Baymard Institute. (2026). 50 cart abandonment rate statistics 2026. https://baymard.com/lists/cart-abandonment-rate
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
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96. https://doi.org/10.1509/jm.15.0420
BU 242 Unit 4 instructions, in plain terms
The Unit 4 instructions ask you to identify the pain points in the purchase path you mapped and analyze their effect on the customer. Most versions want each pain point located at a specific stage, its cost to the buyer described and some evidence that it is real. Many rubrics also ask you to prioritize the list and explain your ranking. You may be asked to examine the most important pain point in depth. Instructors expect the analysis to build on the earlier map rather than start fresh. Three to five pages in APA 7 is common, with sources for any research on customer effort or online shopping behavior.
Inside the BU 242 Unit 4 example
The sample first explains why it measures effort rather than annoyance, drawing on research about customer effort and on the journey literature. The six pain points are then described one by one, each with its stage in the Unit 3 map, a cost in countable units and the evidence behind it, from the listing's missing field to the pickup receipt's timestamp. A ranking table scores each point from one to three on frequency and cost and multiplies the two, showing that the window type and room size problems dominate while the pickup wait, the most visible frustration, falls to fifth. The top point is examined at length. The final section argues that the landlord pause and guest checkout are wanted steps, not friction.
BU 242 Unit 4 rubric: what full points look like
Herzing's grading for the friction unit looks at where each pain point is located, evidence and cost, prioritization and analytical depth, along with writing mechanics. Location earns full points when each point is located precisely in the path, not described as a general complaint. Evidence and cost score highest when costs are stated in units such as minutes or dollars and supported by records or data. Prioritization rewards a ranking method that is explained and applied consistently; the sample's frequency by cost table makes its working visible. Analytical depth is where the top papers separate themselves, for example by showing how one pain point causes others or by distinguishing friction from necessary steps. APA formatting and clear headings complete the rubric.
BU 242 Unit 4 help: mistakes that cost points
Students often list pain points as feelings, such as frustrating or confusing, without saying what they cost. Another common problem is ranking by how annoying a moment felt instead of how often it happens and how much it costs, which puts the most visible issue at the top rather than the most damaging one. Some papers include problems the seller cannot control, like the buyer's schedule, as if they were the seller's friction. Evidence is often missing. Writers also forget to connect the list back to the map, so the reader cannot see where each point occurs. Finally, avoid recommending fixes here in detail; this unit diagnoses, and the recommendation belongs in the final unit.
Get a BU 242 Unit 4 example written to your instructions
Attach the Unit 4 instructions and your BU 242 rubric, with the purchase path or scenario the assignment supplies. We write a custom example that locates every point at a stage, costs it in countable units, attaches evidence to each entry and ranks the list with the method shown. First custom sample free, returned in 24 to 48 hours.
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BU 242 Unit 4 questions, answered
How many pain points should the analysis carry?
Fewer than most drafts contain. Four or five located precisely and costed carefully will outscore a dozen listed in a line each, because the rubric rewards depth of treatment rather than length of list. Where the instructions set a number, meet it and put the remaining words into the single entry you examine at length.
What counts as evidence for a pain point?
Anything a reader could check. A timed note from your own walkthrough, a review describing the same obstacle, a support page that exists only because people get stuck there, a form asking for information the seller already holds. Two independent sources on one point are worth more than one source on four, and a claim with nothing behind it is worth nothing.
Is a high price a pain point?
Not on its own. Price belongs to the sacrifice side of value, which the course treats separately, and calling it friction usually means the entry has nowhere to go in the improvement work later. What can count is the way price is presented: a total that changes at the final stage, a fee appearing after an address is entered, a discount requiring an account.
Where can I find a free BU 242 Unit 4 sample paper?
A free copy of the BU 242 Unit 4 pain point analysis is shown above, with its ranking table, margin notes and sources. To get one based on your own purchase path, submit the assignment details and a custom version will come back free, generally within about two days.
How should pain points be ranked in BU 242 Unit 4?
Choose a rule and show it. The sample scores each point on how often it is likely to occur for the segment and how much it costs when it does, then multiplies the two. Any clear method works if it is applied to every point and the reader can check the result.