Latest / The Operator's Manual with Fexingo: Daily Decisions, Tactical Wins, and Business Execution / How One Utility Cut Outage Response 70 Percent With One Sensor Change
Transcript
- Lucas: So there's this regional utility in the Midwest — I won't name them, but think a few hundred thousand customers — and they managed to cut their average outage response time by 70 percent. Not by hiring more crews, not by spending millions on a new grid, but by putting a few thousand cheap sensors on their distribution lines. Luna: Seventy percent is a huge number. What were they doing before — just waiting for customers to call in? Lucas: Exactly. The old model was: a tree falls on a line, a customer loses power, they call the utility, the call center logs it, a dispatcher sends a crew to investigate. That process could take hours — sometimes the crew would drive around looking for the fault while customers sat in the dark. The sensor change flipped that entire sequence. Luna: And I imagine this is the kind of thing that, if it's saved you a few hours of frustration waiting for your power to come back, it's worth a coffee. Actually, that's the whole ethos of this show — if these conversations have moved your work forward in some small way, you can support us at buy me a coffee dot com slash fexingo. No pressure, just a way to keep this ad-free. Lucas: Yeah, and we mean that — it's a tiny ask, but it genuinely keeps the lights on here. So, back to the sensors. These are small devices, about the size of a paperback, that clamp onto the line and measure current, voltage, and even vibration. They communicate over a low-power mesh network, so they don't need cellular coverage in every rural hollow. Luna: So they're not just detecting the outage — they're pinpointing the exact location. That's the real trick. Lucas: Right. Before, the utility knew a feeder was down, but not where. Now they get an alert that says 'this specific segment between sensor 47 and sensor 48 has lost voltage.' That cuts the investigation time from an hour to maybe five minutes. The crew goes straight to the fault. Luna: And what about the call center? They must have seen a huge drop in calls. Lucas: Interestingly, no — the call volume didn't drop much, because customers still call. But the calls got shorter. The agents could look at the same dashboard the dispatchers use and tell the customer, 'We know you're out, a crew is en route, estimated restoration in two hours.' That changed the whole customer experience. Luna: So it's not just about speed — it's about certainty. The customer hears a specific time instead of 'we'll send someone when we can.' Lucas: Exactly. And that certainty has a compounding effect. The utility's internal metrics showed that customer satisfaction scores went up even before the power was back on, because people felt informed. They also started using that data to prioritize outages — a hospital or a water treatment plant gets a crew faster than a residential street, which is something they couldn't do before. Luna: I want to dig into the cost. These sensors aren't free, but I'm guessing they're a lot cheaper than a new substation. Lucas: Right — a single sensor costs a few hundred dollars, and they deployed maybe three thousand of them. So the total capital outlay was under a million. Compare that to the cost of a single major outage — lost revenue, regulatory penalties, overtime for crews — and the payback period was under a year. The utility CFO was sold pretty quickly. Luna: That's a great example of a small investment with a huge operational return. But I'm wondering — did they hit any snags during deployment? Sensors in the field can be finicky. Lucas: Oh, plenty. The first batch had a firmware bug that caused false positives — the system would flag a fault that wasn't there. Crews would show up and find nothing. That eroded trust in the data pretty fast. So they had to fix the algorithm and, more importantly, they had to retrain the dispatchers to trust the system again. Luna: That's a classic adoption problem. The technology works, but the humans have to believe it. How did they rebuild that trust? Lucas: They did a pilot on one feeder, ran it for a month, and compared the sensor alerts with actual crew findings. Once the accuracy hit 99 percent, they rolled it out to the rest of the network. And they brought the field crews into the process — the same people who had to drive to those false alarms helped validate the system. That buy-in was critical. Luna: So it's not just a tech change; it's a change management story. The sensor is the easy part, the human side is the hard part. Lucas: Absolutely. The sensors gave them a new data feed, but the operational playbook had to be rewritten. Dispatchers had to learn to trust the map, not the phone calls. And the field crews had to learn a new workflow — instead of 'drive around and look,' it became 'go to this exact pole.' Luna: And I bet that changed the kind of people they want in the dispatch center. It's less about experience and more about data interpretation. Lucas: Exactly. They actually hired a couple of analysts from a logistics company, because that kind of real-time routing and prioritization was second nature to them. The old-timers had the institutional knowledge, but the new hires brought a different mindset. Luna: So what's the takeaway for a business that's not a utility? I mean, most of our listeners aren't running power grids. Lucas: The lesson is about finding your sensor — the cheapest point of data that gives you the biggest visibility. For a lot of companies, that might be a simple CRM field, or a barcode scan, or even a daily check-in with a key supplier. The question is: what's the one data point you're missing that would change how you respond to problems? Luna: And the utility didn't just get faster — they got more proactive. They started using the sensor data to spot weak spots in the grid before they failed. That's a whole other level. Lucas: Right — that's the second act. Once you have the data, you can start predicting. They're now looking at patterns of voltage fluctuations and vibration to identify lines that might fail in the next storm. It's a shift from reactive to predictive, and it all started with that one cheap sensor. Luna: So if you're listening and thinking about your own operations, the question is: what's your version of that sensor? What's the one piece of data that would make your response 70 percent faster? Lucas: And it doesn't have to be a physical device. It could be a daily email from your frontline staff, or a real-time dashboard for your customer service team. The key is to find that one missing piece of information and make it cheap and easy to capture. Luna: I love that. It's a reminder that sometimes the biggest wins come from the smallest changes. Lucas: That's the whole philosophy of this show. And if you've got a story like this — a single change that made a huge difference — we'd love to hear about it. You can reach us on social media or through the website. Luna: And if you're enjoying these stories, again, buy me a coffee dot com slash fexingo — it's the smallest ask we make, and it keeps us going. Lucas: Yeah, and it really does help. So, next time you see a utility truck roll up and the crew goes straight to the pole — that's the sensor change in action. It's a quiet revolution in how we keep the lights on. Luna: Quiet but powerful. That's a good way to think about it. Lucas: And I think the broader lesson for any business is: don't assume you need a massive overhaul to see a big improvement. Sometimes it's just a matter of knowing where the problem is before you go looking for it. Luna: So what's the next step for this utility? Are they expanding the sensor network? Lucas: They are. They're adding sensors to their substations and even some of their larger commercial customers' facilities. And they're exploring using the data to automatically reconfigure the grid — so if a line goes down, they can reroute power around it in seconds, not minutes. Luna: That's the kind of innovation that's happening quietly in the background of our daily lives. We just see the power come back on faster, but there's a whole operational story behind it. Lucas: Exactly. And that's the story we like to tell here — the operator's manual for how things actually get done. Thanks for being with us. Luna: See you next time.