Broadway Café runs a digital ad campaign that increases traffic by 30%. The kitchen struggles during peak hours. Reporting errors increase.
Which causal chain best explains the problem?

Question

BlackTom AI · Accepted Answer

An increase in marketing-driven traffic places extra load on operations, which can create bottlenecks and break the assumptions baked into data flows and reporting — this is the key causal mechanism.

Relevant concepts: capacity and bottlenecks in operations, system desynchronization (timing and workflow mismatches between front-of-house, POS, kitchen display, inventory, and reporting systems), and data integrity (accuracy, completeness, and timeliness of recorded events). When demand exceeds process capacity, staff use workarounds and systems get updated out-of-order, causing inconsistent records and reporting errors.

Step-by-step reasoning:
1. Marketing increases traffic by 30%, so order arrival rate rises significantly during peak windows. This directly increases operational load (orders to take, prepare, and serve).
2. The kitchen and supporting staff hit capacity limits. Tasks that were previously sequential and synchronized (order entry → kitchen ticket → cook completion → inventory decrement → sales reporting) now experience delays, batching, or manual adjustments.
3. These timing changes and manual interventions cause system desynchronization: POS entries may be edited after tickets are printed, kitchen displays may not reflect real-time changes, inventory adjustments lag, and reconciliation jobs run against incomplete data.
4. As a result, reports built on time-stamped transactional data show missing, duplicated, or out-of-order entries — i.e., data integrity declines and reporting errors increase.

Why the correct answer fits: "Marketing ↑ → Operational load ↑ → System desynchronization → Data integrity decline" maps exactly to the chain above: demand spike → overloaded processes → broken synchronization between systems → degraded reporting quality.

Why other options are incorrect:
- "Marketing ↑ → Digitization maturity ↑": Traffic does not automatically increase organizational digitization maturity.
- "Marketing ↑ → Buyer power ↑ → Profit ↓": Buyer power isn’t directly altered by short-term traffic increases; profit impact is indirect and not explanatory of reporting errors.
- "Marketing ↑ → Loyalty ↑ → Margin ↑": Loyalty and margin do not logically explain the observed reporting errors and strained kitchen operations.

Conclusion: The correct causal chain is Marketing ↑ → Operational load ↑ → System desynchronization → Data integrity decline, matching the provided answer.

Broadway Café runs a digital ad campaign that increases traffic by 30%. The kitchen struggles during peak hours. Reporting errors increase. Which causal chain best explains the problem?单项选择题

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