| Course | DDBA 8541 Seminar in Entrepreneurial Finance |
|---|---|
| Week | Week 3 |
| Paper type | Assumptions brief |
| Length | About 540 words, 4 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Business Administration (DBA) |
| Updated | October 2026 |
Free sample paper for DDBA 8541 Week 3
Nine Assumptions Before Any Projection: A Register for a Soil-Moisture Sensor Subscription Venture Serving Mid-Sized Farms, Tracing Each Value to a Document or Labeling It Judgment, and Flagging the One Every Later Figure Depends On
Student Name
Walden University
DDBA 8541: Seminar in Entrepreneurial Finance
Instructor Name
Month Day, Year
Nine Assumptions Before Any Projection: A Register for a Soil-Moisture Sensor Subscription Venture Serving Mid-Sized Farms, Tracing Each Value to a Document or Labeling It Judgment, and Flagging the One Every Later Figure Depends On
Purpose
Rootline, a composite venture in Nebraska, plans to sell soil-moisture sensors to farms of 500 to 2,000 acres on a subscription that includes the sensors, cellular data and an irrigation advice app. Before any revenue projection is built, this brief lists the assumptions it would rest on, traces each to a source or labels it as judgment and identifies the assumption that matters most.
The Register
[after]
Table 1
Assumptions Register
| No. | Assumption | Value | Source | Type | |
|---|---|---|---|---|
| 1 | Farms adopting in year one, of 400 contacted | 6 to 14 percent | Reference class: published adoption rates for earlier precision farming tools | Published | |
| 2 | Subscription price per field per season | $420 | List prices of two comparable services | Published | |
| 3 | Sensor unit cost | $86 | Contract manufacturer's written quotation, 1,000 units | Quoted | |
| 4 | Installation labor per field | 1.5 hours at $38 loaded | Federal wage series for farm equipment mechanics, plus benefits and overhead | Published | |
| 5 | Cellular data cost per sensor per season | $14 | Carrier's quoted rate card | Quoted | |
| 6 | Fields per adopting farm | 4 | Founders' interviews with 22 farmers | Judgment | |
| 7 | Annual churn after year one | 20 percent | None | Judgment | |
| 8 | Dealer margin if sold through equipment dealers | 18 percent | None | Judgment | |
| 9 | Sensor failure and replacement rate | 7 percent a season | Manufacturer's bench test | Quoted | |
Which Assumption Matters Most
Adoption speed, assumption 1, moves the case most. At 6 percent, Rootline signs 24 farms and about 96 fields in year one; at 14 percent, 56 farms and 224 fields. Every later figure, revenue, sensor orders, installation hours, data costs and the timing of cash needs, scales with it. Price and unit cost matter, but they are anchored by documents; adoption is anchored only by a reference class.
Why a Reference Class
The founders' own pipeline, 31 farmers who said they were "very interested" at a field day, suggests adoption near 30 percent. The brief does not use it. Kahneman and Lovallo (1993) argued that estimates assembled from a project's own particulars, which they named the inside view, run hopeful, and that forecasts improve when anchored on the outcomes of a class of similar past cases, the outside view. Flyvbjerg (2006) developed that idea into reference class forecasting for projects and showed how it corrects systematic optimism. The reference class here is the uptake of earlier precision agriculture tools, such as yield monitors and variable-rate application, reported in federal agricultural surveys. Those tools spread over many years, not in one season, which supports a low first-year range.
What the Judgment Rows Need
Three assumptions carry no source. Fields per farm comes from interviews and is plausible. Churn and dealer margin are guesses. Kerr et al. (2014) described early ventures as experiments whose purpose is to learn quickly and cheaply which assumptions hold, and the first season should be designed to measure churn and to test whether dealers will carry the product.
The Flag
Every projection Rootline builds should state its adoption assumption first and show results at both ends of the range.
References
Flyvbjerg, B. (2006). From Nobel Prize to project management: Getting risks right. Project Management Journal, 37(3), 5-15. https://doi.org/10.1177/875697280603700302
Kahneman, D., & Lovallo, D. (1993). Timid choices and bold forecasts: A cognitive perspective on risk taking. Management Science, 39(1), 17-31. https://doi.org/10.1287/mnsc.39.1.17
Kerr, W. R., Nanda, R., & Rhodes-Kropf, M. (2014). Entrepreneurship as experimentation. Journal of Economic Perspectives, 28(3), 25-48. https://doi.org/10.1257/jep.28.3.25
DDBA 8541 Week 3 instructions, in plain terms
The Week 3 brief asks for a register of the assumptions a venture's projections would rest on, written before any projection exists. List each assumption with its value or range, its source and a type label, such as quoted, published or judgment. Prefer documents from counterparties for costs, agency series for wages and a reference class of similar ventures for adoption. Order the rows by their pull on revenue and cash, then single out the input with the greatest pull and show the spread of results across its range. Defend your method for the hardest assumption and say how the venture could replace its judgment rows with evidence.
How this DDBA 8541 Week 3 example is built
The sample's register has nine rows, from adoption and price to dealer margin and a 7 percent sensor failure rate from bench tests. Sensor cost of $86 comes from a written quotation for 1,000 units, installation at 1.5 hours per field at a $38 loaded rate, and cellular data at $14 per sensor from a carrier rate card. The ranking section shows adoption between 24 and 56 farms in year one, scaling revenue, orders and cash needs. The method section rejects the founders' field-day pipeline, which implied about 30 percent adoption, in favor of the slower spread of yield monitors and variable-rate tools. A final line asks that every projection state its adoption assumption first and show both ends of the range.
Where the marks sit in the DDBA 8541 Week 3 rubric
Credit starts with completeness and labeling; a register that omits an assumption the case depends on, or leaves a row unlabeled, loses ground before its sources are read. The heaviest weight falls on the ranking and the flag: graders check whether the assumption placed first really moves the case most. Sources are marked for fit, a counterparty's quotation for a cost, an agency series for wages, a reference class for adoption. Doctoral credit goes to the defense of method, applying the outside view accurately. Plans for testing judgment rows show that the brief is meant to guide what happens next. Brevity is valued: the register should be complete, and the prose should explain only what the table cannot.
DDBA 8541 Week 3 help from the desk
Start by listing every number a projection would need, then ask where each could come from. Suppliers will often provide written quotations to a serious buyer. Government wage and price series are free and citable. For adoption, look for published uptake of a similar earlier product rather than relying on your own interviews. Label honestly; a judgment row is acceptable if it says so. To rank assumptions, vary each across a plausible range and see which moves revenue or cash most. Keep the brief short and let the register carry the detail. Name the single assumption to state first in every later projection, and show its range of results in one or two sentences so readers see why it matters.
Get a DDBA 8541 Week 3 example written to your instructions
The Week 3 prompt, the rubric and a short description of the venture are the inputs; if your earlier weeks already named one, send that too. The completed register and its argument come back within 24 to 48 hours, and the first is free. Where your section prescribes a register template or spreadsheet, attach it.
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DDBA 8541 Week 3 questions, answered
Where can I find a free DDBA 8541 Week 3 sample paper?
Rootline's nine-row register and the argument flagging adoption are in the sample section, free to read.
How many assumptions does the DDBA 8541 Week 3 brief list?
Nine, each with a value, a source and a type label.
Which assumption is flagged?
Adoption speed, since revenue, sensor orders, installation hours and cash needs all scale with it.
Why not use the founders' pipeline for adoption?
Inside-view forecasts tend toward optimism; a reference class of earlier precision farming tools is used instead.
Which rows are labeled judgment?
Fields per farm, annual churn and dealer margin.