How to add travel time between appointments

What belongs in the time between appointments?

Start the clock when the first service genuinely finishes and stop when you are ready to begin at the next address. Include cleaning, notes that must be completed before leaving, equipment pack-down, driving or public transport, parking, building access and essential setup. Driving time alone nearly always understates the operational transition.

Keep service time and transition time distinct. If the hands-on service routinely overruns, correct its duration instead of inflating travel. If parking causes the delay, add an access allowance for the relevant area. Clear categories make later review useful because you know which rule needs to change.

• Pack-down and essential post-service work
• Expected door-to-door journey
• Parking, walking and building access
• Setup before the advertised start
• A margin for ordinary uncertainty

How do you measure a reliable baseline?

Record at least a week of real transitions across the areas and times you normally serve. Note planned service end, actual departure, arrival and ready-to-start time. Separate unusually severe disruptions from ordinary variation. The goal is a repeatable baseline, not a promise that the fastest observed trip will happen every day.

Group comparable journeys. A city-centre visit with a parking search should not share a baseline with two neighbouring suburban customers merely because mapped drive times look similar. Use a typical value plus a proportionate margin, then revisit it seasonally or when construction, coverage or working hours change.

When should you use a fixed travel buffer?

Use a fixed buffer when the service area is compact and most complete transitions fall inside a narrow range. It is easy for staff and customers to understand and it continues to work if a mapping service is unavailable. Choose the number from normal completed journeys rather than a single ideal route.

The trade-off is imprecision. If the buffer protects the longest common drive, it may create unnecessary gaps between nearby customers. If it reflects the average, it may be too short for edge postcodes. Reduce that tension by tightening the coverage area or assigning distant locations to particular days.

When should travel time vary by location?

Use location-based allowances when postcode pairs produce materially different journey times. Postcode estimates can distinguish a nearby booking from a cross-area one. Road and expected-traffic checks add context when route choice and time of day affect whether a slot is practical.

Variable estimates still need operational additions. A calculated twenty-two-minute drive does not include ten minutes packing equipment unless the scheduling setup adds it elsewhere. Decide what the travel service supplies, what your configuration supplies and what fallback applies when no estimate can be returned.

Why do you calculate travel in both directions?

When a new appointment sits between existing work, calculate previous customer to proposed customer and proposed customer to next customer. The new service and both transitions must fit inside the available window. Protecting only the first journey can make the new arrival punctual while pushing the next confirmed visit late.

At the start of the day, use the business base or your chosen boundary rule if relevant. At the end, decide whether the return journey needs protection. Document these cases so the same logic is applied consistently rather than negotiated differently each time a customer requests a slot.

What does a worked travel-buffer calculation show?

For example, a service ends at 10:00. Notes and pack-down take ten minutes, the expected drive is twenty-five, parking and access take five and setup takes five. The complete transition is forty-five minutes, so the next appointment should not start before 10:45. Add further margin only if ordinary uncertainty is not already represented.

Now suppose the next customer is only a ten-minute drive away. The equivalent transition is thirty minutes. A fixed forty-five-minute gap remains safe but blocks fifteen minutes. A variable method could offer 10:30 for that route while retaining 10:45 for the longer postcode pair, provided every other operational allowance stays the same.

How do you monitor and adjust the allowance?

Compare planned and actual ready-to-start times. Record whether differences came from service duration, departure tasks, route, parking or customer access. Review a pattern, not one bad day. Change the smallest relevant rule and observe it for another representative period before tightening further.

Track both lateness and excessive waiting. A buffer that prevents every possible delay may make too few slots available, while an average-only buffer may fail regularly. Aim for a dependable operating range with a clear exception process for severe disruption. Tell affected customers promptly when reality falls outside the plan.

• Review repeated causes rather than isolated incidents.
• Update service time when the work itself overruns.
• Update parking allowance when access causes the delay.
• Recheck edge postcodes and peak travel periods.
• Keep the following confirmed appointment protected.

What is a seven-day buffer calibration plan?

For seven working days, record the time a service really ends, when you leave, when you arrive and when you are ready to begin. Keep pack-down, mapped journey, parking, access and setup in separate columns. The purpose is to find the complete transition and the part that varies, not to prove the original buffer right or wrong.

At the end of the week, group similar postcode pairs and compare the planned buffer with the normal ready-to-start time. Correct service duration before travel, then set a conservative fixed allowance or choose a location-based method. Recheck the longest regular route before making earlier times public.

• Record one row for every completed customer-to-customer transition.
• Separate service overrun from journey and access time.
• Group journeys that share similar geography and conditions.
• Choose a typical value plus an ordinary uncertainty margin.
• Test both sides of an in-between booking before launch.