Every promise tracked. Every callback caught. Every membership defended.
QueSee listens to every call. Fills the dispatch ticket before the customer hangs up. Updates the household profile after every contact - callback risk, membership slippage, equipment lifecycle. The dispatcher answers the next call with the full story, not a blank ticket. Notes land in ServiceTitan, Housecall Pro, Jobber, FieldEdge, Workiz, ServiceFusion.
Field service offices run on dispatcher memory
You are not surprised by this list. The leak is invisible because it lives in the call - and the call ends before the note gets written.
Roughly 30 of every 100 inbound leads do not book
Marketing keeps spending. Nobody knows which 30 leaked or why. At a $400 average ticket, that is about $11K a year on the floor per 100 monthly leads. The objection lives in the call recording. Nobody has time to listen.
$400 average ticket, 30% leak
Membership customers slip in slow motion
A $189/year plan covering 2,800 households is $529K of recurring revenue. The first signal of a slipping member today is the renewal that never comes. Tone shifts and friction surface in the call. The system never sees it.
2,800 memberships at $189
Dispatcher promises go untracked
"Tech will be there between 2 and 4." Tech rolls up at 5:15. The customer remembers. Nobody else does, until the Google review hits next week. Two-thirds of negative reviews trace to a promise-vs-delivery gap.
Promise-vs-delivery gap
After-hours leaks money before Monday morning
A weekend no-heat call missed by Tuesday is a $1,400 ticket plus the membership conversion gone. Three to five missed weekend escalations a quarter is real money. Today the Monday review is a stack of voicemails nobody reconciled with the schedule.
$1,400 ticket x 3-5 weekend misses
Score the call. Update the customer.
A voice agent answers the call and forgets it. The dispatcher carries six months of household history forward - but only for the customers she knows. QueSee writes the memory for everyone else, so every call opens with full context.
Every call, scored against your dispatch SOP
HVAC, plumbing, electrical, and pest control scorecards ship pre-built and get tuned to the shop in week one. Service zones, equipment brands, technician specialties, after-hours rules, pricing tiers. Action items, dispatch tickets, and callback flags push to the FSM. Dispatchers stop typing notes.
- Service address, equipment make and model, age estimate captured
- Symptoms, callback window, dispatcher promises logged
- Lead-to-job conversion tracked by matching call audio to the booked-job record in the FSM. The leads that did not book are listed with the objection in the caller's own words.
- Technician calls from the truck scored against the field-call SOP - parts orders, job updates, customer mood signals surfaced
- Pre-built scorecards for HVAC, plumbing, electrical, pest control - tuned to the shop in week one
- Spanish-language calls scored at parity with English
Every customer, re-scored after every call
Memory and continuity is the moat. A voice agent takes the call and forgets it - it cannot link this Tuesday's call to the noisy compressor three weeks ago, or surface the unresolved 4pm promise from last month. The dispatcher carries that for the customers she knows; for the rest, she is typing notes she will never read again. QueSee builds the memory. The next call opens with the full six months of household history.
Callback risk
Third call about the same problem, escalating tone, unresolved promise from the last contact.
Repeat-issue customer
Same brand, same symptom, three trucks in 90 days. Pattern surfaces before the fourth call.
Upsell readiness
14-year-old unit, two repairs in 18 months, customer asking about replacement timing. Membership and maintenance plan eligibility flagged.
Equipment replacement window
Unit age, repair frequency, and lifecycle stage tracked across every call. Replacement opportunity surfaces while the customer is still in the door.
Payment risk
Invoice declined, billing question on last call, history of late pay. Surfaced before the next dispatch.
Technician fit
Household asked for a different tech twice in six months. Routing adjusted before the next visit.
Promise tracking
Dispatcher said "by 4pm" - did the tech arrive by 4pm? Logged automatically, reviewed weekly.
Membership churn risk
Tone shift on the last two calls, payment friction surfacing, renewal date inside the slippage window.
The dashboard the owner opens at 6am with a coffee
Not a call log. A household-by-household view rolled up by truck, by dispatcher, by zone. 15 minutes before the dispatch board fills up.
When the owner opens QueSee at 6am, the first thing on screen is not yesterday's call volume. It is the callbacks promised but not done, the membership customers slipping this week, and the lead leak with the objection in the customer's own words.
- 5 callbacks promised yesterday, 2 not done - names, numbers, original ticket linked
- 3 membership customers had bad calls this week - tone shift flagged, renewal date visible, save list ranked
- 1 tech got two complaints in 48 hours - specific calls linked, same household and neighborhood patterns surfaced
- 2 upsell-ready households - 14-plus year old units, two repairs in 18 months, customer mentioned replacement
- Lead-to-job at 64% this week - the 36 of 100 that did not book listed, with the objection in the caller's own words
- 4 dispatcher promises pending verification - "by 4pm" promised, tech arrival not yet logged
15 minutes before the dispatch board fills up. The rest of the team works the queue.
Owner Dashboard
Tuesday, 6:02 AM - rolled up by truck, dispatcher, zone
Callbacks pending
5 promised yesterday, 2 not done. Names, numbers, original ticket linked.
Membership at risk
3 households had bad calls this week. Renewal dates, tone shifts, save list ranked.
Technician complaints
1 tech with two complaints in 48 hours. Specific calls linked, neighborhood patterns surfaced.
Upsell-ready households
2 households with aging equipment and recent repairs. Customer mentioned replacement.
Lead-to-job rate
64% this week. The 36 that did not book listed, with the objection in the customer's own words.
Promise verification
4 dispatcher commitments pending. "By 4pm" promised, tech arrival not yet logged.
What lands in your FSM after every call
New lead
- Job type, equipment age estimate, symptom, urgency, address, preferred window
- Quoted price flagged automatically
- Callback promised flagged with timestamp and 24-hour overdue alert
- Objection captured if the lead did not book
Dispatch and scheduling
- Time window committed to the customer logged
- Specific tech requested or rejected captured
- Equipment access notes (gate code, dog, attic ladder) attached
- After-hours surcharge acknowledged or not
Callback and follow-up
- Linked to the previous ticket if calling about a prior job
- Recurring complaint flag if the issue is the same as last time
- Price, warranty, or escalation language flagged
- Callback aging alert opens if not closed in 24 hours
Complaint
- Specific tech named, specific job referenced, specific dollar amount captured
- Auto-routed to service manager queue with severity score
- Member status flagged so manager calls membership customers first
- Pattern tagged across multiple contacts
Membership renewal
- Renewal yes, no, or maybe captured
- Friction surfaced in the customer's own words
- Retention offer mentioned and outcome logged
- Reason for churn captured for the save list
After-hours
- Emergency vs schedulable flagged
- Overflow CSR fidelity to script scored
- Dispatcher response time logged for tomorrow's review
- Missed escalations route to the owner's phone the same morning
The math, on the back of a napkin
A 25-truck shop with three dispatchers and an after-hours CSR runs about $2,520/month on QueSee. Here is what gets recovered against that.
Promise gap: two-thirds of negative reviews trace to a promise-vs-delivery gap. Dispatcher said 2 to 4. Tech rolled up at 5:15. Logged automatically. Reviewed in the weekly team meeting. The pattern stops repeating once it is measurable.
Anchor proof from a service-heavy operation. Field services case study in flight with an HVAC pilot.
360 Broadband - 11 dispatchers and field technicians, service-heavy phone floor
“You created a system who can do my job in five seconds.”
Every phone system. Every FSM. 140+ pre-built connectors.
ServiceTitan, Housecall Pro, Jobber
Same day setupDirect push for the FSMs most field service shops run. Call summary, ticket fields, callback flags, and customer-profile updates land on the work order or customer record. Dispatchers stop typing notes.
View ServiceTitan, Housecall Pro, Jobber IntegrationFieldEdge, Workiz, ServiceFusion
Same day setupSame write-back model for the rest of the FSM stack. Dispatch tickets, callback aging alerts, and household memory write through in week one. Shop-built systems get the data via webhook in your format.
View FieldEdge, Workiz, ServiceFusion IntegrationRingCentral, Vonage, NetSapiens, 3CX
Same day setupPre-built connectors for the phone systems field service offices already run. Audio in, structured intelligence out. After-hours misses route to the owner's phone via Teams or Slack the same morning.
View RingCentral, Vonage, NetSapiens, 3CX IntegrationCustom phone or FSM
5-10 working daysIf your stack is not pre-built, the team integrates in 5-10 working days. You give us access. We do the heavy lifting. You see scored calls and FSM write-backs in week one.
View Custom phone or FSM IntegrationCommon questions from field service owners
See every call. Track every promise. Defend every membership.
Drop a sample of recent calls. Inside one business day we come back with a scored snapshot - ticket gaps, lead leaks, callback risk, household patterns. Yours to keep, no obligation.