(1) I've noticed that the more dashboards pile up, the less people actually talk to each other. For a while we tracked everything--check-ins, NPS slices, funnel leaks--yet a guest offhandedly mentioned they couldn't even figure out where our entrance was. None of our charts hinted at that. I only understood it after standing outside and watching people hesitate on the sidewalk. When you're swimming in metrics, the simple stuff slips past you. (2) We also tried tying bonuses to five-star reviews. Predictably, the team started prompting guests for praise before the session was even over. It felt forced and everyone knew it. That's when it hit me: when a metric becomes the target, the work gets distorted. The score should be a byproduct of a healthy system, not the thing everyone is trying to manipulate. (3) And of course, all data is a rear-view mirror. A report might tell you sales dipped last month, but the customer who left made that decision weeks earlier. So I mix the numbers with things you can only catch in person--walking the floor, asking how people are doing, watching how guests move through the space. You pick up on shifts long before they show up in a chart. (4) I once assumed high occupancy meant we were thriving. On paper, it did. In reality, the team was wiped out and guests weren't coming back as often. We were squeezing too many sessions into a day and giving everyone too little breathing room. Everything "looked good" right up until someone burned out. Strong metrics can sit on top of a system that's one bad week from cracking. (5) I'm still a believer in measurement, but I use metrics the way you use signs on a road trip--helpful, not definitive. If something's climbing, I want to know why. If walk-ins are up but bookings aren't, I want someone to push back on the easy explanations. The best leaders I've seen treat numbers as conversation starters. They don't abandon them; they make room around them for people to challenge what the data seems to say.
(1) I've watched plenty of clinics celebrate hitting revenue or conversion targets while the patient experience quietly erodes in the background. That's usually the first sign of metric saturation--everything looks tidy on a dashboard, but something underneath is fraying. When a team figures out how to satisfy the number rather than the purpose behind it, morale drops and the culture starts to drift. (2) In some clinics, staff were rewarded for getting consultations booked fast, not thoughtfully. On paper, the KPI was green. In reality, no-shows climbed and satisfaction slipped because people were being rushed into the wrong appointments. The team wasn't being difficult--they were responding to the scoreboard they were handed. We eventually shifted the target toward informed commitment, which immediately changed the behaviour. (3) Most KPIs lag behind what's actually happening. They describe the past, not the floor today. That's why we build in simple qualitative checkpoints alongside the numbers. A clinic might be hitting check-in times every day, but if the reception team keeps flagging patient confusion or constant form mistakes, something in the process is breaking. Those early signals matter long before metrics start to slide. (4) One clinic looked like a star performer: high volume, great cashflow, a spotless dashboard. It wasn't until we ran a wellbeing audit that the real picture emerged--chronic overtime, skipped handovers, and a team hanging on by sheer will. The system wasn't strong; the people were compensating for its weaknesses. In that case, the "success" data was actually a warning sign. (5) We don't toss out KPIs--we put them under pressure. A metric should spark a conversation, not shut one down. We ask what behaviour it encourages, who is carrying the weight of hitting it, and what gets compromised along the way. Making space for dissent, especially from those closest to the work, surfaces risks you'll never see in a spreadsheet. The best leaders treat metrics the way a good clinician treats symptoms: useful clues, but never the whole diagnosis.
The biggest lie our KPIs told us was when project delivery timelines looked perfect for six months straight. Every deadline hit, every metric green. Then three developers burned out simultaneously because they'd been working nights and weekends to maintain those numbers. We were measuring completion rates but completely missing the unsustainable effort behind them. We've also dealt with metric gaming. Our team figured out that smaller projects boosted our "projects completed" numbers, so suddenly everyone wanted to break big jobs into tiny milestones. The dashboard looked amazing but clients were frustrated with fragmented delivery and constant handoffs. The other problem is lag. By the time our "client satisfaction scores" showed issues, we'd already lost two major accounts. Those surveys came too late to actually fix anything. Now when metrics look too good, I get suspicious. Perfect numbers usually mean something's being hidden or someone's destroying themselves to maintain an illusion. We've started tracking leading indicators like how many questions developers ask before starting work, or how often we're revising the same feature. These feel messier but they tell us what's actually happening before the formal KPIs catch up.
VP, Strategy and Growth at Coached (previously, Resume Worded)
Answered 4 months ago
Pretty numbers can easily hide real problems. I have seen situations where the numbers look great in their KPIs, but the team is severely overworked, and systems are struggling. Even so, dashboards don't tell the whole story. Too many metrics can lead to people chasing the numbers instead of addressing real issues. And sometimes, the data tells one thing, but on the ground, people tell a different story. So I look more at outcomes. KPIs are signaling where to look closely, but I also weigh them against what my eyes and ears are actually telling me.
It is common to mistake high-performing metrics for healthy systems. Leaders must look beyond surface level numbers to identify underlying inefficiencies. While measurement is valuable it's important to remember that a strong metric doesn't always equate to a thriving process. True success in leadership is about fostering sustainable growth not relying on momentary spikes. When leaders focus on long-term development they ensure that the results are built on solid foundations. This approach prevents the dangers of overwork and burnout enabling teams to achieve consistent performance without compromising their well-being.
Head of Business Development at Octopus International Business Services Ltd
Answered 4 months ago
Data can become a shield against harder conversations. I've watched perfectly "green" dashboards distract everyone from the real story--who had to overextend to make those numbers, whether customers actually felt the impact, and what cracks were starting to form beneath the surface. You can run a business on pretty metrics for a while, but they'll hide things like eroding trust or a workflow that's one bad week away from failure. A simple stress test is to ask what behavior the metric invites if someone wanted the number to look good without improving anything. If the answer feels even remotely feasible, that KPI is easy to game. I've seen teams reroute work, tighten onboarding in all the wrong ways, or reshuffle priorities only to keep a monthly figure from dipping--moves that helped the metric but not the customer. Bringing dissent into the room helps reveal those blind spots. When everyone agrees instantly, it usually means we didn't push far enough. The people closest to the work often sense trouble long before the data catches it, and I've learned to pay attention when someone quietly asks, "What aren't we catching here?" The lag between reality and the data is another trap. By the time churn or revenue softness appears in a report, the early signs--hesitant clients, scattered complaints, a shift in tone--showed up months earlier. Those small signals aren't proof, but they're often the first hint that something's drifting. Strong performance can also hide weak systems. A superstar carrying a broken process will make a dashboard look fantastic right up until they burn out or walk away. When that happens and the whole operation wobbles, you realize the KPI was measuring output, not resilience. Metrics still matter; they just shouldn't be the final word. I use them as prompts for deeper investigation rather than a stamp of truth. The teams that get this right blend the numbers with what they're seeing in the field, hearing from customers, and noticing in their own bandwidth. That's when KPIs become genuinely useful--when they spark better questions instead of shutting them down.
I've sat in meetings where the dashboards were so busy they practically blinked at you -- all green arrows and cheerful charts -- yet no one could answer the most basic question: what's actually happening for the customer? One retail client was tracking 22 KPIs at once, and the team was drowning in their own metrics. When we stripped everything back to three customer-experience outcomes, the noise quieted and the work finally lined up with reality. People don't "game" numbers out of malice; they do it because systems nudge them that way. I've watched support teams chase resolution-time targets by firing off quick replies instead of fixing real issues. A SaaS client kept cheering their improving response speed until churn crept to 17%. Turns out, the reps who kept customers happiest weren't the fastest -- they were the ones willing to dig in. Metrics should map to the behavior you want, not push people into shortcuts. And then there's the lag. Most headline metrics trail the truth by weeks. We once spotted engagement slipping nearly a month before sales dipped for a B2C client. If you're only watching revenue, you walk around thinking everything's fine while the floor is already shifting. I treat strong trailing numbers like a friend who always arrives late -- fun to have around, but not great for early warnings. I've also seen KPIs mask a team that's falling apart. One startup I worked with hit every target -- conversion, MRR, LTV -- yet the team was exhausted. We were celebrating in standups while developers were quietly burning out. Spreadsheets don't register morale, trust, or the creative breathing room that keeps people whole. High performance can hide a shaky system. I'm not anti-metric. I'm anti-blind devotion. These days, whenever we set KPIs, we ask: if this number moves, what action will we take? What won't we take? And who here thinks this metric might be misleading us? Leaders who treat numbers as headlights instead of a GPS tend to make better calls. And every room needs at least one person willing to say, "I'm not convinced this number tells the full story." That voice usually saves you from driving off a cliff.
Hi Matt, my name is Kyle Tucker and I run a holding company called Tucker's Farm Corporation (www.tuckersfarm.com). I was formerly on the PE team at Apollo Global and the HF team at Viking Global, and I started my career in investment banking. I'm new to this website (part of recent PR pushes!) but saw your question and have strong views on this. I'm not sure what's most helpful to you, so sharing some high level thoughts that I can flesh out more over the phone. 1) What gets measured gets managed. This cliche is true. 2) KPIs need to be paired with incentives. 3) KPIs need to be leading indicators, not lagging indicators. Lagging indicators (revenue, profit, etc.) are ultimately what you care about, but they are not as tangible or immediate as leading indicators (customer response time, etc.). 4) Important KPIs are often hard to measure consistently and accurately, especially if they are self reported or new. This squishiness creates room for gamesmanship in how a team member reports. It's human nature for the team member. But as a leader you need to watch your dashboard closely and dig in periodically, especially if you see lots of green lights. 5) If you care about everything then you care about nothing. It's okay to track a lot of data if you can do it efficiently, but you need to ruthlessly remove KPIs that are meaningless or unused. 6) Ideally you have two team members measured on the same KPI. This creates benchmarking and healthy competitive tension. 7) I have many more, but the best practices for this site said to keep things short! Let me know if helpful. My email is kyle@tuckersfarm.com and my phone number is 415 500 1367. Kyle
The PR industry has become a prime example of how to manipulate metrics and data. Impression numbers; media mention counts; "Advertising Value Equivalencies"... these numbers can look spectacular while the actual business impact is zero. I know some agencies that will claim 500M impressions on a news article that was published in content farms no human being will ever read. It's not that people misrepresent their metrics. People game for whatever they are measuring. In the PR space, if you are measuring the quantity of press coverage; then you are going to pitch every single journalist in town with a spray-and-pray approach. Your dashboards may look incredible but your relationships with those journalists are going to be destroyed; and at some point your clients will notice that nothing is happening. In PR, the metrics that are most important (i.e., trust; credibility; whether a journalist will even respond to your call) don't show up anywhere on a spreadsheet. By the time a lagging indicator show something has gone wrong; you're already six months into the damage. Metrics tell us "what happened". They rarely answer"why this matters" or "is this sustainable?" The discipline here is to ask second order questions: "what behavior is this metric encouraging?" "What would we miss if this number looked perfect?" "Who benefits from this looking good?" The best check I've found is simple: allow others to view the work behind the numbers. Vanity metrics tend to fall apart quickly when viewed through the lens of someone else who has different interests than you.
When I think about what KPIs really hide, I've learned that metrics can look like evidence when they're actually just indicators — and sometimes misleading ones. I've seen this firsthand while helping a client celebrate record traffic and conversions, only to discover that their team was stretched so thin that the "strong performance" was masking a system ready to break. The question of what KPIs hide forces leaders to pressure-test assumptions instead of trusting the surface-level story. Numbers rarely reveal burnout, poor processes, or the customer frustrations that haven't yet shown up in reporting. I've also experienced situations where teams unintentionally "game" metrics because they're chasing what the dashboard rewards rather than what the customer actually needs. In one case, a company optimized obsessively for volume — more content, more posts, more campaigns — but engagement and retention quietly slipped. That's the danger of metric saturation: so much data that leadership sees movement but not meaning. Effective leaders invite dissent around data, asking teams to poke holes in the numbers and explain what the KPIs might be missing. I often encourage clients to pair quantitative KPIs with qualitative insight, like customer feedback or internal workload signals, so they catch problems before the numbers do. Reframing the role of metrics doesn't mean abandoning them — it means treating them as early signals, not the final verdict. I've found the most reliable approach is to connect KPIs to real-world outcomes and assess how sustainable the performance behind them actually is. When leaders make space for context, questioning, and contradictory input, KPIs become tools for clarity rather than blinders that hide the truth.
Metrics should inform curiosity and not replace judgment. I found that teams grow more confident when leaders present KPIs as guidance instead of fixed answers. This approach gives employees room to question assumptions and recognize patterns through real experience. It also turns every conversation into something far more meaningful than a perfect score. In one project we treated weekly metrics as starting points in every meeting. The team shared the stories behind the numbers and uncovered barriers that would have been easy to miss. This change turned metric reviews from a stressful ritual into a space for steady learning. The data became a partner that supported progress rather than a judge that restricted it.
CEO at Digital Web Solutions
Answered 4 months ago
Metrics should evolve alongside the growth of a business. As organizations expand the KPIs that once served as effective indicators may no longer be relevant. It is essential for leaders to regularly reassess and adjust their metrics to ensure they align with the company's current goals and challenges. By doing so, leaders can ensure that KPIs remain meaningful and continue to drive teams toward progress. This approach allows leaders to shift focus when necessary and keep the organization on track toward its evolving objectives. Adaptability in KPI management is key to fostering growth and maintaining a forward-thinking mindset.
It is easy to get overwhelmed by the vast amount of data available. However, leaders should focus on metrics that truly matter and provide valuable insights into long-term growth. Excessive data points can cloud judgment and make it harder to understand what is actually driving the business forward. By narrowing the focus to key metrics, leaders can gain a clearer picture of what needs attention. Prioritizing the right data that addresses key gaps is essential for making strategic decision-making. It enables leaders to act on insights that can bring real value to the business and maintain long-term relationships. Rather than getting lost in a sea of numbers, focusing on a few crucial metrics provides clarity. This approach helps businesses stay on track and makes it easier to monitor progress over time.
(1) More numbers don't guarantee clearer thinking. I've seen teams buried under elaborate dashboards tracking so many KPIs that no one can remember which ones actually matter. When everything is measured, focus slips. The real discipline is deciding which signals truly map to the outcomes you care about and which metrics are just comforting noise. (2) The moment a metric becomes a target, people start bending around it. I've watched teams hit their output goals while quietly absorbing piles of rework to get there. It isn't deception--it's adaptation under pressure. So I always look at the story behind the metric. If the chart looks great but customers aren't noticing any improvement, something in the system is off. (3) Most KPIs tell you what already happened. By the time retention dips or defect rates creep up, the real problem may be months old. The early clues usually show up in things that aren't neatly quantifiable--offhand comments from customers, a shift in tone from frontline staff, that kind of thing. Leaders who pay attention to those early rumblings rarely find themselves scrambling later. (4) Strong numbers can hide fragile systems. I've seen quarters where teams smashed every goal, but only by pushing themselves to exhaustion. Burnout, churn, and quiet frustration don't show up in the spreadsheet, at least not right away. If you only reward the results, you miss whether the machine is healthy enough to run again tomorrow. (5) I treat KPIs like indicators on a dashboard: useful, but rarely the whole picture. They tell you where to look, not what to think. The fuller story usually comes from pairing the data with what people are actually seeing--customer conversations, support threads, notes from the field. When leaders treat metrics as a starting point for inquiry rather than a verdict, they get much closer to the truth of what's working and what needs attention.
I love data, but more metrics do not equal more clarity. Before long, a team has a dashboard that looks impressive but tells them almost nothing they can act on. That's when we lose patterns, meaning, and actual insight. If you're leading well, you should be asking which five (or so) numbers actually predict the health of the business [unit]. Anything beyond that is distraction. Once people know how they're being measured, some will get creative. People adapt to the metric instead of the overall mission. KPIs that are too rigid, too simplistic or too detached from frontline reality can create interesting behaviors, where employees become focused on only hitting the metrics and not on the integrity of the actions, team congruency, customer satisfaction or long-term results. Many KPIs are snapshots of what has already happened. If you rely exclusively on lagging indicators, you'll always be steering a few weeks or months behind what your customers, market, or culture actually need. A team can hit every target and on paper everything can look phenomenal. But behind the scenes, they can be operating with burnout, resentment, and fragility. I'm not recommending companies toss KPIs. But I do recommend they look at a more mature way to use them. The real work of leadership lies in the gap between what the dashboard says and what the team, customers, and instincts are telling. KPIs shouldn't be a shield we hide behind, they should be one piece of a larger discernment process.
KPIs are like the dashboard in a car. They are necessary, but only part of the picture. Too often, leaders mistake a healthy dashboard for a healthy engine. In legal marketing and SEO, drowning in metrics is common, with teams obsessing over rankings, impressions, and conversion rates. More measurements don't always mean better understanding. Sometimes, teams focus on the numbers that are easiest to move, not the ones that matter most. There's also the lag effect. By the time a KPI tells you there's a problem, the issue may have been festering for months. I've seen websites drop in search ranking, and the traffic metrics didn't reflect the true cause until much later. Relying solely on KPIs can lull leaders into complacency, blind to issues beneath the surface. Another trap is "strong" numbers masking weak systems. High output might look good, but if it's fueled by overwork or unsustainable effort, the success is brittle. Effective leaders must pressure-test the story behind each KPI. Numbers should be a starting point for conversation, not the final word. Encourage dissent and skepticism in the room; ask what you might be missing, and look for evidence that contradicts the data. The goal is not to abandon metrics, but to put them in their place as valuable indicators, period.
Co-Founder and Principal Consultant/Executive Coach at PCS2 Consulting LLC
Answered 4 months ago
In my experience across multiple sectors, including government, manufacturing, and healthcare, I've observed that KPIs tend to focus on the "What's" or outcomes/results, which may hide the "How's" or behaviors/actions/decisions that leaders or employees take to get those results. In other words, KPIs alone do not tell the full story of organizational performance. In fact, when we reflect on challenges that occurred in the early 2000s, organizations like Enron "appeared" to demonstrate solid financial results, yet hid major ethical issues that resulted in organizational collapse not only for Enron but their accounting firm as well. Numerous case studies from 2007-2009 reflect major ethical issues resulting from the financial crisis at that time. With respect to the role of metrics, they are indeed important in assessing organizational health, and KPIs must include not only financial results but also measures that reflect employee safety and well-being, team morale, turnover, customer retention, etc. These measures should include qualitatively assessing organizational culture through interviews, focus groups, and surveys, as well as observations, to ensure that the whole story is captured, as it is easy to focus on short-term results, lie with numbers, and land in ethical hot water.
In my comparison website we have a large backend with lots of KPI charts and graphs. I noticed recently we were missing the mark on what actually matters. Everything looked healthy but page load times were slipping , images weren't being rendered in the right size. KPI's often focus on what's important to management, but not necessarily the consumer. Management was concerned about how many pages and products and profitability, not if the consumers were finding the right products. We ultimately switched our focus onto a more user-centric approach and tightened up all the pages in a way that would help the user ultimately do what they came to us for. Albert RIcher, Founder WhatAreTheBest.com
The "Green Dashboard" Illusion At Wisemonk, we help companies build global teams, and I have learned a hard lesson: a green dashboard is often the most dangerous thing in your company. When every metric looks perfect, you usually aren't looking deep enough. Here is how effective leaders need to rethink the data. The "Heroics" Trap The most dangerous KPI is the one that shows "strong performance" while hiding a collapsing team. I have seen engineering teams hit 100% of their sprint goals for months. The dashboard says they are efficient; reality says they are burning out. When you rely solely on output metrics like velocity or ticket closure rates, you miss the "human debt" accumulating behind the scenes. If your numbers are good only because your lead engineer worked all weekend, your system is broken. You are measuring survival, not sustainability. Gaming the System (Goodhart's Law) Engineers are problem solvers. If you give them a metric, they will optimize for it, often at the expense of the actual goal. If you measure "lines of code," you get bloat. If you measure "tickets closed," you get cherry-picking of easy tasks. I encourage leaders to look for metric saturation. If a metric stops fluctuating, it has likely been "solved" by the team rather than improved by the process. You need to rotate your focus metrics to prevent teams from autopilot gaming. Lag vs. Intuition Most KPIs are autopsies. By the time a metric like "churn" flashes red, the customer has been unhappy for months. Leaders hide behind these numbers because they are safe, but they trail reality. I force my leadership team to value qualitative dissent over quantitative comfort. If the data says "customers are happy" but the support team feels uneasy, trust the support team. The intuition of your frontline staff is a leading indicator; the dashboard is just a lagging receipt. The Fix: Metrics as Flashlights Stop treating KPIs as the truth. Treat them as flashlights. They tell you where to look, but they don't tell you what you are seeing. If you aren't regularly asking "Why does this data make no sense?" you aren't leading. You are just reading.
If I add to this perspective, I believe KPIs can be both a blessing and a trap. One lesson I often share with founders is that dashboards can lull leaders into a false sense of security. I remember working with a startup that appeared to be exceeding all growth KPIs, revenue up, churn low, engagement metrics strong, yet customer satisfaction surveys told a different story: clients were frustrated with onboarding and support response times. The metrics didn't lie, but they masked systemic issues because the team had optimized for what was measured rather than what truly mattered. Metric saturation is another subtle danger. I've observed teams drowning in data but starved for insight. Leaders often assume that more numbers equal clarity, but without context or critical thinking, you risk overemphasizing what's easily measurable at the expense of real-world outcomes. One approach we use at spectup is deliberately limiting the number of KPIs tracked at the executive level, focusing instead on leading indicators that correlate with customer impact and long-term growth. Another common pitfall is teams "gaming" metrics. I've seen instances where employees hit target numbers by extending hours, front-loading efforts, or prioritizing easy wins , all of which inflate performance on paper but are unsustainable and eventually hurt the business. This is where inviting dissent around data becomes crucial. Creating safe spaces for employees to question metrics, share observations, and challenge assumptions often uncovers insights that raw numbers never capture. Reframing metrics requires seeing them as diagnostic tools rather than gospel. I often encourage leaders to ask, "What story is this number not telling?" and "What could make this look good but actually hide a problem?" This mindset, combined with periodic reflection on system health, sustainability, and alignment with core objectives, ensures that metrics inform rather than mislead. In my opinion, the best leaders balance quantitative rigor with qualitative insight, using KPIs as a compass, not a destination. When treated thoughtfully, they illuminate reality rather than obscure it, supporting decisions that are sustainable, customer-focused, and strategically sound.