Start with call timing and caller intent.
In this cohort, roughly one in five calls arrived outside business hours. Friday accounted for 20.1% of weekly calls, compared with 11.2% on Monday. These are shares of calls across the cohort, not the average result for an individual restaurant.
Caller intent changes by phone mode. At restaurants taking orders over the phone, ordering is the dominant named intent. At restaurants that don't take phone orders, reservations become the largest named intent. The shared pattern across both groups: a meaningful share of callers still ask to speak to a human.
Use these patterns to decide what to measure at your restaurant. The report does not compare phone conversion with other channels or measure the sales lost when a call goes unanswered.
Friday had the largest share of calls.
In the published 90-day call window, Friday and Saturday had the largest shares of calls. Friday's volume was roughly 80% higher than Monday's. The study did not measure dining-room workload at those times.
Roughly 19% of calls in the cohort arrived on a closed day, before opening, or after closing. This measures timing. It does not measure unanswered calls, voicemail success, lost orders, or callers choosing a competitor.
Caller intent depends on the kind of phone your restaurant runs.
Restaurant phone data changes meaningfully by phone mode. Stores that take orders over the phone generate a disproportionate share of all call volume, while reservation- and information-heavy restaurants show a very different intent mix.
Ordering is dominant for order-taking restaurants. For reservation- and information-heavy restaurants, reservations are the largest named intent. The categories describe requests; they do not measure urgency, preferred channels, or completed purchases.
Phone mode matters. At order-taking restaurants, placing an order is the largest named intent. At reservation-heavy restaurants, reservations are the largest named intent. A single blended average hides both realities.
The shared pattern is human escalation. In both cohorts, more than 1 in 8 calls are callers asking to speak to a person or to be transferred. A request for a person is an intent label; it does not establish why the caller asked or whether a transfer completed.
Across all calls, about 87% were classified as AI-contained in the published analysis; the remaining 13% were classified as transferred or escalated. These labels do not independently verify that the caller's request was resolved or that a transfer reached a person.
Intent describes a request, not a completed sale.
On order-taking restaurant phones, 40% of callers are trying to place an order. On reservation- and information-heavy restaurant phones, 28% of callers are trying to reserve or book. Those are intent signals, not completed orders, confirmed reservations, payment-system conversions, or incremental revenue. The cards round the intent-table percentages.
This cohort has a different mix of requests. Verify confirmed bookings separately from calls that mention reservations.
Eight questions every restaurant owner should answer.
Use this list as a self-audit. If you don't know the answer to most of these, you don't have visibility into a meaningful chunk of your guest relationship.
- 01How many calls arrived last week?Use carrier or phone-system records for a defined period. State which locations and phone numbers you counted.
- 02Which calls did you answer?Count answered, missed, abandoned, and voicemail calls separately. Define how you treat repeat calls and transfers.
- 03How many arrived outside business hours?Compare call timestamps with each location’s hours, including closed days. After-hours calls are not automatically lost orders.
- 04Why did people call?Classify requests using your own calls. Separate ordering and reservation-heavy locations, and retain an Other category.
- 05How many catering inquiries became bookings?Track inquiries, confirmed bookings, and completed event sales separately. A mention of catering does not establish revenue.
- 06How long did calls last?Compare mean and median duration by request type and routing outcome. Duration alone does not show success or wasted staff time.
- 07Which calls led to completed orders or reservations?Join call records to confirmed outcomes. State the matching window and handle cancellations, refunds, and duplicate calls.
- 08What happens when staff need to take over?Check whether transfers connect, what context staff receive, and what happens when nobody answers. Review failures as well as successes.
The first step is just measuring.
Start with a defined period and your own call records. Count answered, missed, abandoned, and voicemail calls separately. Review the requests callers made, then check which led to completed orders or bookings.
You don't need an AI agent to act on most of what's in this report. The first step is just measuring. If after reading this you don't know your call volume, your after-hours rate, your top intents, and your phone conversion rate, that's the work — regardless of what tooling you use.
If you want help — or you want to hear what an AI phone agent actually sounds like in production at a restaurant similar to yours — we'd love to show you.
Review your call types, POS connection, menu, payment flow, and staff handoff with Maple. Confirm setup requirements and timing for your location.
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Source: Maple's published production-data analysis, queried 2026-04-28. These figures summarize the published analysis, not a new measurement or an independent audit. The cohort is not a representative sample of all restaurants. Raw-data reproduction remains pending. Intent categories use keyword matching against AI-generated call summaries; they are directional and include a large uncategorized share. Report wording revised September 11, 2026; source figures unchanged.
Maple Inc. © 2026 · maple.inc · The Restaurant Phone Audit may be reproduced with attribution.