Measuring performance across a convenience-store chain

Use the same definitions

Decide whether an order means started, paid, sent to the POS or fulfilled. Define the basket value before or after discounts and tax. Set the period used to measure preparation time. Document these choices so every store reports the same thing.

Compare stores that make sense together

Separate formats with different menus, opening hours and traffic patterns. A motorway food counter and a small neighbourhood petrol station may have little in common beyond the brand. Compare a store with its own baseline as well as with a relevant peer group.

Record staffing, menu prices, trading hours, outages and local promotions alongside results. They help explain changes that a single average conceals.

Publish enough context to be useful

• Dates and number of participating locations.
• Number of eligible orders and missing records.
• Definitions of revenue, contribution and operating cost.
• Baseline or control method and any exclusions.
• Variation across stores, not just the best result.
• Known limits of the measurement.

Anonymise commercially sensitive information and obtain permission before identifying a customer. A benchmark should let the reader judge whether the result is relevant to their operation.

Build evidence before a headline

Tapit has over 10 years of operational experience. A useful benchmark programme turns that experience into documented comparisons. Use these definitions when commissioning a pilot report or comparing store results.

For a pilot, start with the rollout guide and agree the reporting definitions before the first order.