You search your customer database. Nothing. You check your repair orders. No match. You read the review again and your stomach turns — because the language is almost identical to another 1-star review that showed up just 7 days ago. This isn't an unhappy customer. This is an attack. That's exactly what happened to @Eddie Lawrence. Eddie's a member of this community and the owner of MTR in Colorado Springs — a shop he's been building for close to 30 years. Someone was smearing MTR's name with customers, vendors, and even his own team through a variety of methods including fake Google reviews. Eddie didn't just sit there and take it. He reached out to me and we fought back, got the reviews removed, and Eddie documented the entire process step by step so you'd know exactly what to do if this happens to you. I'm going to walk you through his playbook in a minute. But first — here's the thing most shop owners don't realize: Negative reviews aren’t just a sales problem. They’re a recruiting filter. If a tech sees you don’t respond, they don’t assume “busy.” They assume “drama.” And they move on. When a tech is thinking about applying to your shop — or when they've already applied and they're doing their homework on you — one of the first things they do is check your Google reviews. And when they see unresponded-to negative reviews? They ghost. I've seen it happen over and over again across hundreds of shops. A great candidate goes silent and the shop owner can't figure out why. Then I look at their Google profile and there are 3 negative reviews with zero responses sitting right there on page one. Silence is never neutral. It's always interpreted negatively. So here's the playbook. Whether you're dealing with an unhappy customer or an outright fraud, here's exactly how to handle negative reviews — ranked from best-case to worst-case scenario. THE REVIEW RESPONSE HIERARCHY 🥇 Best outcome: Get them to take the review down.

I can't tell you how many times I'm on a call with a shop owner and they say: "I'm drowning. I think I need to hire another tech." And 10 minutes later we realize: Another tech won't fix it. It'll magnify it. Here's what usually happens on those calls. Owner says: "We're booked out two weeks. Cars stacked up. I need another tech." I ask: "How often do your techs wait on approvals? Parts? Dispatch?" Long pause. "Honestly… a lot." "Cool. Then the problem isn't production. It's feeding production." Here's the hard truth nobody wants to hear: When cars are backed up, it's usually NOT because you need more production. It's because: → Work isn't approved fast enough → Parts aren't sourced fast enough → Jobs aren't dispatched fast enough → Tech questions don't get answered fast enough → Cars and keys aren't moved fast enough The real constraint is front-of-house throughput. Hiring a tech first often makes the problem worse—because you're adding horsepower to a system that can't feed it. Let me twist the knife a little more: Every minute a tech waits is a minute you paid for nothing. When techs stand around, owners blame techs… but the shop is usually choking them. Hiring another tech doesn't fix starvation. It just adds another mouth to feed. Your techs aren't the bottleneck. Your front counter is. THE 30-MINUTE BOTTLENECK AUDIT Stop guessing. Measure it for one day. Here's how: Step 1: For one full day, track every time a tech is stopped for a non-wrench reason: Waiting on parts Waiting on approvals Waiting on dispatch/next car Waiting on answers Keys/vehicle movement Step 2: Put a clipboard at the counter. Every time it happens: hash mark. Step 3: At close, answer: What stopped tech momentum most often? What one role or process change removes that stoppage? Step 4: Implement ONE change for 7 days, then re-tally. This isn't theory. This is data. Data kills drama. COPY THIS SCORECARD TECH STOPPAGE SCORECARD (1 day) Waiting on parts: ___

A reporter is working on a story about private equity ownership in the auto repair industry. She's looking for shop owners (or people who know shop owners) who have direct experience with PE - whether you've been acquired, considered selling to PE, or watched competitors get bought out. If that's you or someone you know, drop a comment or DM me. I can make the introduction.

Yesterday I got a text from a number I didn't recognize. (786) 481-4680. Miami area code. The message? "Hi Christopher, right?" Three words. That's it. My first instinct was to reply. Be polite. Say "wrong number" and move on with my day. I didn't. And that split-second decision might have saved me thousands of dollars. Here's what I almost walked into. That "innocent" text is the opening line of what the FBI calls a "pig butchering" scam. Weird name. Devastating consequences. HERE'S HOW THE SCAM WORKS They send thousands of these texts. "Hi [name], right?" They're fishing. Waiting for someone polite enough to respond. If you reply—even just "wrong number"—you've confirmed two things: 1. This phone number is active. 2. There's a real person here willing to engage. Now you're a qualified lead. The scammer apologizes. Strikes up a conversation. Maybe mentions it's "fate" that you connected. Over the next few weeks—sometimes months—they build trust. They become your friend. Maybe more. Then comes the hook. A cryptocurrency opportunity. A trading platform. An "investment" that seems too good to pass up. By the time you realize what's happening, your money is gone. And I mean gone. Think I'm being dramatic? Last year, text message scams cost Americans $470 million. That's five times higher than 2020. These aren't Nigerian princes with bad grammar anymore. They're sophisticated operations using AI to manage conversations with hundreds of victims simultaneously. The Miami area code on that text I received? Spoofed. Could have come from anywhere in the world. The fact that they used my first name? Probably pulled from a data breach. Or my LinkedIn. Or anywhere else my info exists online. This isn't random. It's targeted. It's patient. And it's designed to exploit the one thing most of us were raised to be: Polite. So here's what you do when you get one of these: Do NOT respond. Not even "wrong number." Silence is your best protection.

Zappos does something most shop owners would call insane. During onboarding, they offer new employees up to $4,000 to walk away. No hard feelings. Just take the cash and leave. Their thinking? If someone takes the money, they were never committed anyway. Better to find out in week two than month six when they've poisoned your shop culture and you've wasted thousands on training. Here's what got me thinking... Most of you already have 90-day probationary periods. You're already doing the "trial" part. But what if you added a financial incentive for the uncommitted to self-select out? And there's another angle here that's unique to our industry: The toolbox. Some shops pay to move a tech's box in. What if you also committed to paying to move it out—no questions asked—if either party decides it's not a fit during that first 90 days? Think about it: A tech's toolbox can cost $500-$1,500 to move. That's real money. But what's the cost of a bad hire who sticks around because leaving feels too expensive? I genuinely don't know if this would work in our world. That's why I'm asking. Three questions for the group: 1. Would offering a "quit bonus" during probation attract better candidates (who see it as confidence) or worse ones (who see it as an easy payday)? 2. If you guaranteed to pay a tech's toolbox in AND out during the first 90 days, would that make you more attractive to committed A-players... or just make it easier for flakes to bounce? 3. What's the REAL cost of a wrong hire who stays too long versus one who leaves too soon? 👇Drop your take below. I want the honest answers, not the polite ones.