Chapter 2 — Further Reading

Sources are grouped by how confident we are in them, following the book's citation policy: Tier 1 are works, institutions, and public events we are confident exist and can stand behind; Tier 2 are real practices and benchmarks whose exact publication we have not pinned down; Tier 3 is constructed teaching material in this book, labeled where it appears.

Tier 1 — Verified canonical

Roger Fields, Restaurant Success by the Numbers. The best available treatment of the arithmetic in §2.5 for readers who are not accountants. Its handling of the seats-turns-check-days identity and of what a location can realistically produce is the natural companion to this chapter and to Chapter 4.

Danny Meyer, Setting the Table. Read it for §2.2 and the Hospitality callout in particular. Meyer's argument that a restaurant's product is the guest's experience of an occasion — not the plate — is the intellectual basis for building personas from occasions. Chapter 23 works out the economics.

Douglas Robert Brown and Elizabeth Godsmark Rowe, The Restaurant Manager's Handbook. Use it as a reference for the mechanics of site evaluation and concept documentation rather than as an argument.

The U.S. Census Bureau's American Community Survey publishes population, household, income, and housing data at small geographies at no cost, and is the free public source underneath most commercial demographic products. The Bureau's OnTheMap tool maps where workers live versus where they work, which is the correct source for the daytime population figures in Figure 2.3 — the number most founders get wrong. Census Business Builder packages both for small-business users.

Commercial demographic and trade-area services (the category includes offerings from firms such as Esri and Placer.ai, among others) sell drive-time polygons, daytime-population estimates, and mobile location-derived foot-traffic counts. They are genuinely useful and genuinely expensive, and a broker or an SBA-affiliated Small Business Development Center will often run a report for you at no cost. Treat every output as a denominator, per §2.3.

Your municipality's planning and zoning department, and its building department. The permit pipeline, the use classifications, the parking requirements, and the conditional-use conditions in the §2.3 compliance callout are all public records. They are also the cheapest research in this chapter. Ask in writing.

The public record on category creation in fast casual — the founding and growth of Chipotle Mexican Grill (1993, Denver) and the development of Panera Bread out of Au Bon Pain Co. and the Saint Louis Bread Company (1993–1999) — is well documented in business press and in both companies' public filings. Case Study 1 uses public facts only.

The public record on Boston Chicken / Boston Market — the 1993 initial public offering, the 1995 renaming and repositioning as home meal replacement, the area-developer financing structure and the criticism of its accounting treatment, the October 1998 Chapter 11 bankruptcy filing, and the subsequent ownership changes — is likewise documented in contemporaneous business press and court filings. Case Study 2 uses public facts only.

The public record on Eatsa (opened San Francisco 2015; most locations closed 2019; pivot to technology licensing as Brightloom) is documented in trade and technology press.

Tier 2 — Attributed, specifics unverified

The claim that most independent full-service restaurants draw 60–80% of covers from within roughly a ten-minute drive is a widely used planning convention among operators, brokers, and site consultants. It is genuinely useful and it is not the output of a single definitive study; the actual figure varies enormously with format, density, price point, and whether the restaurant has a destination reputation. Use it to frame the question, then measure your own draw from reservation and loyalty data once you are open (Chapters 26 and 27).

Visit-frequency assumptions. The three-to-eight-visits-per-year range used in the capture-rate table is a planning band, not a measured statistic. Real frequency varies by price point, by occasion, by household composition, and by season. The right practice is to run the calculation across a range — as Figure 2.3's companion table does — rather than to pick a number and defend it.

Trade-area and drive-time conventions (ten-minute drive for full service, five-minute walk for a dense urban core, the treatment of arterials and rivers as hard edges) are practitioner convention drawn from retail site selection. They transfer to restaurants well, but they are heuristics.

Sales-per-seat as a sanity check on a revenue forecast is standard practice among lenders and consultants. The usable ranges vary so widely by service style, price point, and market that quoting one would be false precision; the reliable use of the metric is comparative — against your own alternatives, against comparable concepts you can actually observe, and against the figure your own four-variable estimate implies.

Occasion-based segmentation as a method is borrowed from consumer packaged goods and retail practice, where it is long established. Its application to restaurant concept development is standard consulting practice rather than a documented academic framework.

Tier 3 — Illustrative / constructed (labeled in text)

Bellwether, the running business-plan project, is a constructed teaching example. Every figure attached to it — the \$46 check, the occasion mix, the trade-area sheet, the competitive-set survey, the positioning map, the stress-test score — is illustrative and internally consistent, and none of it describes a real business or a real district.

Figure 2.3, the Rivermill trade-area sheet, is constructed to be internally coherent (household sizes, income distributions, and housing-unit counts all resolve against one another) and to demonstrate the reading of such a sheet. It is not data.

Figure 2.6, the competitive-set survey. Establishments A through H are composites of the format types commonly found in a converting warehouse district. They are not real businesses, and no real business's prices, seat counts, or performance are represented.

All worked calculations in the chapter, exercises, and quiz use constructed numbers chosen so that the arithmetic is legible and every figure resolves.

Where to go next

If §2.5's arithmetic was the part that landed, read Chapter 4 next — it turns the four-variable estimate into a bottom-up forecast and an assumptions register — and then Chapter 24, which is where the \$139,240 gap this chapter deliberately leaves open finally gets settled.

If §2.3 left you wanting to evaluate a real site rather than a trade area, Chapter 6 is the site and lease chapter and Chapter 7 turns square footage into seats.

If §2.6's differentiation test interested you, Chapter 3 is its brand-side counterpart and Chapter 12 is where you find out, from your own sales data, which of your differences guests actually bought.

If you are planning a real restaurant, Appendix C contains the blank Concept & Market Analysis worksheet. Fill it in now, while the concept is still cheap to change.