Review Automation
Equipment Pull-Out Day, Not Invoice Day: The Review Window Restoration Companies Keep Missing
Restoration companies usually ask for reviews when the file closes financially — weeks after the homeowner felt relief and often mid-fight with the adjuster. Here is a five-step system for moving the ask to the moment that actually converts.
by Jerrod Anthraper
Tuesday, 2 a.m. A supply line lets go on the second floor of a 1990s colonial. Your crew is on site in forty minutes, pulls carpet, sets fourteen air movers, and by Friday the homeowner is hugging your project manager in the driveway. Six weeks later your software sends a review request. By then she is on her fourth call with the adjuster, the flooring allowance came in short, and your company name is stapled to the entire ordeal in her memory. She does not leave a review. Or she leaves one you wish she hadn't.
The leak is timing, not willingness
Most restoration owners assume their review volume is low because homeowners are busy or because water damage is something people want to forget. That is rarely the real cause. The real cause is that the request goes out attached to the wrong moment in the job.
A restoration job has two very different emotional temperatures. There is the mitigation phase, where you are the person who showed up in the middle of the night and stopped the damage. Then there is the settlement phase, where you are one more party in a paperwork fight the homeowner did not ask to be in.
That distinction matters because roughly 92% of consumers read reviews before buying. Every homeowner who never got asked at the right moment is a review your next caller will never see when they are standing in two inches of water comparing three companies on their phone.
Why the timing goes wrong
It goes wrong for a boring reason: the review request is usually triggered by an accounting event, not a human one.
In almost every restoration CRM, the review automation fires on "job closed" or "invoice paid." Those are finance milestones. They land anywhere from three to ten weeks after the homeowner actually felt relief, and they often land in the same week as a supplement dispute, a deductible conversation, or a contents claim that came back light.
There is a second reason. The person the homeowner bonded with — the lead tech who explained what a moisture meter reads, the PM who called every morning at nine — is usually not the person the review request comes from. It arrives from a generic company address the homeowner has never seen. So the ask feels like billing, not gratitude.
A five-step review system built around the restoration job cycle
None of this requires new software to start. It requires you to decide, on paper, when the ask happens and who it comes from.
1. Map the two windows in your own job flow
Pull your last twenty completed jobs and write down two dates for each: the date you hit dry standard and released equipment, and the date the file was financially closed. Measure the gap. In most shops it is four to eight weeks.
The first date is your ask window. That is the day the homeowner's ceiling stopped dripping, the noise stopped, and someone told them their house is going to be fine. The second date is when they are thinking about money. If your automation is tied to the second date, you are asking a person to praise you on the day they are most frustrated with the process you are part of.
2. Move the ask to equipment pull-out day
Make the review request a step in the equipment retrieval checklist, not a step in the billing close. The tech who pulls the last air mover is standing in the house with a homeowner who is visibly relieved. That is the ask.
Keep it verbal first, then digital. The tech says something close to: "Before I head out — if the way we handled this was what you hoped for, would you mind saying so on Google? It's the main way people find us at two in the morning." Then the text goes out within fifteen minutes, while the truck is still in the driveway, with a direct link and nothing else in it.
Fifteen minutes matters. A request that arrives that evening competes with dinner. A request that arrives while your tech is still visible in the driveway does not.
3. Send it from a human, not the company
Change the sender. The text should come from the lead tech or the PM by name, and it should reference something specific about the job — the room, the pet, the timeline. "Hi Karen, it's Marcus from the crew that dried out the upstairs. Glad the guest room came back clean."
Two-line personalization is the difference between a message that reads as a receipt and one that reads as a person. If your dispatch software can't send from an individual, use the PM's cell with a saved template. It is not elegant and it works.
4. Build a 24-hour route for unhappy answers
Before you scale the ask, decide what happens when the answer is bad. Ask one screening question first — "How did we do, 1 to 5?" Anything at 4 or 5 gets the Google link. Anything at 3 or below routes to your production manager's phone as a task due within 24 hours.
This is not about hiding negative reviews. It is about catching a fixable complaint — a baseboard that didn't get reset, a crew that left at 6 a.m. without saying goodbye — while it is still a service issue instead of a permanent public rating. Restoration jobs generate a lot of small fixable friction. Most of it never reaches the owner.
5. Score review velocity by crew, not by company
Track new reviews per crew per month. You will find the spread is enormous — one crew chief generating five a month and another generating zero, working the same volume. That tells you exactly where to coach, and it turns a vague company goal into an individual habit that people can actually hit.
What a star is worth in this market
Restoration buying decisions are made fast, under stress, usually from a phone, usually from the map pack. The rating is doing most of the persuading before anyone reads a word.
Moving from a 3.5-star average to a 4.5-star average has been associated with conversion lifts of up to 270%, and each additional star correlates with a 5-9% revenue increase.
For a shop doing a few hundred thousand in mitigation revenue, that spread is not a marketing nicety. It is the difference between being the first call and being the second quote nobody returns.
Where automation takes over
The system above works manually. It also breaks manually, because the ask depends on a tired tech remembering a script at the end of a long day, and the follow-up depends on someone checking a list.
That is the part Tykon's system takes off your crew. James, our AI sales agent, watches for the job-stage trigger, sends the ask from the right person within minutes of equipment pull-out, screens the response, escalates anything under four stars to your production manager, and keeps a running count by crew. It also handles the inbound side — the 2 a.m. calls that come in because your rating went up.
If you want to see whether this is your problem, do the step-one exercise on your own last twenty jobs. Measure the gap between dry standard and file close. If it's more than three weeks, you already know where your reviews are going. If you'd rather have someone walk that data with you, a 20-minute look at your job flow will tell you fast.