How One Tree Company Doubled Storm Season Revenue with StumpIQ

The Florida company turned a $47,000 average storm-day revenue into $98,700 per event after implementing StumpIQ's storm dispatch system. That's not an incremental improvement, it's a fundamental change in how much of available storm revenue a 5-crew operation can actually capture.

Here's the full story: what the company's storm response looked like before, why they switched, what changed in the dispatch process, and what crew scheduling decision made the biggest difference.


TL;DR

  • Storm events create surge demand that generic scheduling software is not designed to handle.
  • Hazard triage -- classifying emergency jobs by risk level before dispatch -- determines which crews go where first.
  • NOAA-integrated storm forecasting allows 24-48 hour preparation before a storm makes landfall or passes through.
  • Companies with storm-ready dispatch tools consistently capture more revenue during surge events than those relying on manual processes.
  • Pre-built storm damage job types with appropriate hazard classifications reduce intake time during high-volume events.

The Before: Managing Storm Surge by Phone

The company is a 5-crew tree service operation in Central Florida. Storm season, tropical disturbances, hurricane bands, and afternoon thunderstorm season, runs roughly 6 months. During that window, the company averages 4-6 notable storm events that generate emergency call surges.

Before StumpIQ, the platform was Jobber. It worked well for routine scheduling and invoicing, but had no storm-specific tools. When storm calls came in, the dispatcher managed by phone.

On a typical high-volume storm day, the dispatcher received 150-180 incoming calls over 4-6 hours. The process: answer the call, get the address and description, write it on a paper list, call the next crew when they finished a job, describe the next job over the phone, dispatch verbally.

The problems with this system were predictable but costly:

  • Triage was based on call order, not hazard priority. The customer who called first got a crew next, whether their situation was a downed branch on a fence or a tree on a car with someone inside.
  • Dispatcher capacity was the bottleneck. One dispatcher handling 150+ calls simultaneously with active crew coordination couldn't give proper attention to either.
  • Crews drove past other storm jobs en route to assigned jobs. Without optimization, crews were sometimes dispatched to jobs on the other side of town while passing jobs 2 blocks away.
  • Revenue ceiling hit before capacity ceiling. The company had 5 crews available but was only completing as many jobs as the dispatcher could manually coordinate.

Revenue per major storm event: $47,000 average, representing roughly 8-9 jobs per crew per event day.


The Switch: Why Jobber Wasn't Enough

The owner had been on Jobber for 3 years and was generally satisfied with it for day-to-day operations. The storm season problem was obvious, but the assumption was that Jobber was "good enough."

After a particularly chaotic storm event where the dispatcher cried twice and a crew spent 2 hours driving to the wrong address because the verbal handoff was garbled, the owner started evaluating storm-specific tools.

"Jobber was fine for scheduling a Tuesday of routine trimming. It was not built for 150 emergency calls in 4 hours."

StumpIQ's storm mode and dispatch tools were the deciding factor. The forecasting integration, which pulls from regional weather data to flag incoming events 24-72 hours out, was something no other platform offered at all.


What Changed in the Dispatch Process

StumpIQ's storm mode automated the triage that was breaking the dispatcher.

When emergency calls come in during storm mode, they're triaged automatically:

  • Hazard category: Active structure impact (tree on house, tree on car, blocked road) vs. fallen tree with no immediate hazard vs. broken limb
  • Customer location: Mapped against current crew positions
  • Crew availability: Based on GPS position and job completion status

The dispatcher sees a prioritized queue rather than a ringing phone and a growing paper list. The highest-hazard jobs near available crews appear at the top. The dispatcher confirms assignments rather than creating them from scratch.

On the first major storm event after switching, the dispatcher handled 164 incoming calls. The automated triage queue showed 89 bookable jobs ranked by priority. The dispatcher worked through the queue, confirming crew assignments for each job as crews completed previous work.

"The first time we ran storm mode, I thought something was wrong because it was so much calmer. Then I looked at the board and we had 17 jobs assigned before noon on the busiest day of the year."


The Crew Scheduling Change That Made the Biggest Difference

Beyond the dispatch triage, the scheduling change that had the most impact on revenue was pre-positioning crews before the storm.

StumpIQ's storm forecasting integration flagged an incoming storm system 48 hours before landfall. The owner used that window to:

  • Call every crew member and put them on standby alert
  • Pre-load equipment, chainsaws, chippers, stump grinders, on trucks the night before
  • Position one crew in a satellite staging area 40 miles south based on the storm track forecast
  • Pre-draft a customer communication going out at 6 a.m. on storm day letting the customer base know the team was ready

None of this was possible without the 48-hour forecast data. Before StumpIQ, the company learned about the storm from the news like everyone else, scrambled to get crews and equipment ready on storm morning, and started dispatch from a standing stop.

Pre-positioning meant crews were already in position when the first calls came in. The satellite crew captured 11 jobs in the first 3 hours in their zone that would otherwise have taken the main dispatch 2-3 hours longer to reach.


The Revenue Outcome

Per-event revenue comparison:

  • Before StumpIQ: $47,000 average per major storm event (8-9 jobs per crew day)
  • After StumpIQ: $98,700 average per major storm event (17-19 jobs per crew day)
  • Increase: 2.1x revenue with the same 5-crew capacity

Jobs completed per crew per storm day went from 8-9 to 17-19. That's not from working longer hours, crews worked the same 10-12 hour storm days they always did. It's from eliminating the dispatch inefficiency that was leaving completed-but-unbooked jobs in the customer call queue.

The dispatcher's experience changed considerably. "She used to leave storm days exhausted and upset. Now she leaves tired but satisfied. The system handles the chaos, she handles the decisions."

For more on storm scheduling tools and emergency dispatch, see our guides on storm damage tree service scheduling and emergency tree service software.


Get Started with StumpIQ

Storm events are peak revenue periods for prepared tree service companies. StumpIQ's storm dispatch tools -- hazard triage, priority queuing, and NOAA weather integration -- give you the infrastructure to handle surge volume efficiently. If storm response is a meaningful part of your market, the right tools make a real difference.

How did storm forecasting software change the dispatch process?

StumpIQ's storm mode automated the triage step that was breaking the dispatcher. Incoming emergency calls are ranked automatically by hazard category and crew proximity. The dispatcher confirms assignments from a prioritized queue rather than creating them manually from a phone list. On a 164-call storm day, the dispatcher confirmed 89 job assignments without the coordination failures that previously characterized the same volume.

How many more jobs did the company complete per storm event?

The company went from 8-9 jobs per crew per storm day to 17-19 jobs per crew per storm day, a 2.1x increase with the same 5-crew capacity. The increase came from eliminating dispatch inefficiency, not from additional crew hours. Per-event revenue went from $47,000 to $98,700 on the same storm event types.

What was the crew scheduling change that made the biggest difference?

Pre-positioning crews based on 48-hour storm forecasting data was the single highest-impact scheduling change. By staging one crew in a satellite location aligned with the storm track the night before, the company captured jobs in the first hours of the event that previously required 2-3 additional hours of drive time to reach. Storm forecasting turned reactive crew positioning into proactive staging.

What is storm surge management for tree service companies?

Storm surge management refers to the tools and processes that allow a tree service company to handle a sudden spike in emergency call volume following a severe weather event. Key capabilities include: priority dispatch based on hazard level, rapid job intake for incoming calls, pre-positioned crew scheduling before the storm, and customer communication at scale during a surge period.

How do tree service companies prepare for a storm before it arrives?

Preparation includes: extending crew availability windows, pre-positioning equipment near the projected impact area, notifying customers on maintenance contracts, setting up an emergency job intake queue, and briefing crews on the hazard classification system they will use during the event. Software with NOAA integration can trigger preparation workflows automatically when a watch or warning is issued.

What is the revenue opportunity from storm work for a tree service company?

Storm response revenue varies significantly by event severity and company capacity. A well-prepared company in a moderate storm area can generate 2-5x normal weekly revenue during a surge event. Companies with better dispatch tools capture more of this opportunity because they can take and route more jobs faster than competitors managing surge manually.

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Sources

  • International Society of Arboriculture (ISA)
  • Tree Care Industry Association (TCIA)
  • USDA Forest Service
  • National Oceanic and Atmospheric Administration (NOAA)

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