“Smarter Data for a Greener Future”

Category: Dashboards

  • Measure What Matters analytics: Stop measuring what you can’t fix

    You launch the sprint review. The metrics deck lands on the screen: customer churn, social media mentions, page load times, net promoter scores. Silence. No one speaks because no one knows what action any of it demands. That’s the quiet killer of analytics culture. We gather numbers, not because they guide us, but because they exist. Measure What Matters analytics is a rebellion against that.

    Measure What Matters analytics and how to use it for optimal results.

    Measure What Matters analytics cuts through dashboard clutter

    At first glance, more data feels better. Like carrying ten tools into the woods instead of three. But soon you realize: you’re lugging around weight you never use. I once worked with a mid-market retailer swimming in metrics. Their dashboards sparkled with data points, but the meetings were jammed with questions like, “Why did our click-through rate fall?” and “Is this drop in engagement seasonal or a red flag?” Nobody knew, because the team hadn’t decided which metrics were fixable and which were just… interesting.

    In “Entrepreneurs: Beware of Vanity Metrics,” Eric Ries highlights how metrics such as page views or sign‑ups “look great on paper but aren’t action-oriented.” He recommends evaluating every metric through three criteria: is it actionable, accessible, and auditable, to ensure your KPIs drive meaningful change, not just decoration.

    Vanity metrics create a false sense of security

    This is where things get dangerous. Metrics like brand awareness, sentiment score, or total impressions look fantastic on slides. They give off a warm glow. But they’re like mood lighting—nice ambiance, no clarity. If your bounce rate jumps, you can adjust page layout or navigation. If brand sentiment dips, well, maybe tweet less? The Measure What Matters analytics approach demands every metric earn its spot by answering this: what will we change if this moves?

    Use business value questions to separate signal from noise

    This is where my favorite teaching moment lands. I run a class on business value questions. We start with the basics: Is this problem worth solving? If yes, does it need a data insight or a process change? That small, structured pause is where most companies flail. They chase data because it’s available, not because it’s useful. When you ask those questions up front, you reclaim agency. You stop reacting and start designing.

    Run a KPI audit with action at the center

    So let’s talk tactics. Here’s how you pivot to Measure What Matters analytics:

    1. Actionable mapping: For every metric, write down the next step if it goes up or down. If you draw a blank, the metric fails.
    2. Fixability score: Tag each KPI as Fixable this sprint, Fixable this quarter, or Not fixable. Be ruthless. Cut or sideline anything in the third bucket.
    3. Dashboard pruning: Keep only the metrics that directly tie to levers you can pull now. The rest can live in an appendix or a quarterly strategy doc.

    From data paralysis to product momentum

    One product team I coached trimmed their dashboard to three metrics: Cart Abandonment, Checkout Completion Time, and First-Click Conversion. Every one of those tied to a known lever. That week, they dropped two unnecessary forms from checkout and saw a measurable lift in conversions. Suddenly, meetings became exciting again. People showed up ready to build, not just stare at charts.

    Measure What Matters analytics doesn’t mean flying blind

    This isn’t about ignoring context. You still track the slower, squishier numbers like brand lift or long-term retention—you just don’t let them drive the bus. You move them off the core dashboard and into strategic reviews where they belong. Measure What Matters analytics gives you permission to stop performing data theater and start fixing things.

    Don’t worship dashboards. Build outcomes

    Data should feel like a wrench in your hand, not a painting on the wall. Every metric that survives your audit should demand action. If your KPIs aren’t unlocking new behavior, they’re just decoration. There’s real power in walking into a room and saying, “We measure less, but we fix more.”

    Want help building your version of this?

    This is where I come in. Whether it’s retooling dashboards, coaching teams through KPI audits, or teaching your org how to ask better business value questions, I help companies reclaim momentum. Analytics shouldn’t be a tax on your time. It should be a springboard. Let’s talk about what you actually want to move and how to measure only that.

  • Dashboard data decision making is about asking the right questions

    Effective dashboard data decision making starts not with visuals, but with questions.

    Dashboard data decision making. Learn how to align dashboard metrics and answer shared dashboard questions

    There was a client I worked with where every team was flying their own plane. Product had a dashboard. Marketing had a dashboard. Ops had a dashboard. Each one was built on whatever tool the team liked best: Tableau, Looker, Power BI, even Google Sheets tricked out with charts and colors. And each dashboard was technically doing its job.

    But none of them agreed with each other.

    Why teams struggle to align dashboard metrics

    One team would flag a metric as up. Another would say the same metric was flatlining. People would spend entire meetings arguing about numbers instead of acting on them. Why? Because they weren’t pulling from the same data. Every dashboard had its own flavor of the truth.

    And here’s the kicker: the teams didn’t think the dashboards were broken. They thought the other teams’ dashboards were broken.

    This is what happens when dashboards are built around tools instead of decisions. When every team builds their own version of reality based on what feels easy, or familiar, or cool.

    Asking the right questions for dashboard data decision making

    We had to start from the bottom. Not with a prettier dashboard, but with shared questions. What decisions do we all need to make? Do we actually trust our metrics? What data sources are real, and which ones are stitched together with duct tape and prayer?

    Once we aligned on that, the rest got simpler. We consolidated tools. Built one system everyone could access. Designed the dashboard backwards, from decision to insight to data. Not the other way around.

    Fixing your mindset around dashboard data

    It wasn’t just a visual fix. It was a mindset shift. Dashboards stopped being places to defend your team’s story and started being a shared source of clarity.

    So if your dashboard feels off, maybe it’s not the design. Maybe it’s the questions.

    Start with this: What decision are you actually trying to make?

    Because until you answer that, no dashboard, no matter how pretty, is going to help you.

    For more on structuring dashboards around decision goals, check out this excellent guide on Medium, which walks through defining your dashboard’s purpose, targeting end users, choosing metrics that matter, and refining visuals to support actual decisions.

    Need help aligning your dashboard for real decisions?

    We help teams turn scattered data into shared insight, starting with the right questions. If your dashboards are causing more confusion than clarity, let’s talk. Contact us for a strategy session and start building dashboards that drive action, not arguments.

  • Tech stack optimization: When tools become the problem

    There was a moment during a client meeting when I looked at their tech stack and thought, “This isn’t a tech stack. It’s a tech Jenga tower. And it’s about to fall over.” My client was in desperate need of tech stack optimization.

    They were using ten different pieces of software, all proudly listed out like badges of honor. CRMs, analytics dashboards, visualization tools, marketing platforms, data pipelines, and some random custom-built app no one really understood anymore. Each one was doing something, but together? It was chaos. Multiple logins, constant context switching, overlapping features, and worst of all, data that didn’t line up. The team was exhausted. Not from the work itself, but from wrangling the tools that were supposed to make the work easier.

    This isn’t just a niche issue. According to Forrester, tech stack optimization is now a strategic priority for companies trying to align tools with outcomes instead of just collecting software.

    Tech stack optimization. Clutter leads to chaos.

    Reframe your approach to your tech stack

    This is what happens when software becomes the goal instead of the means. Somewhere along the way, this client had stopped asking, “What do we need to know?” and started asking, “What else can we buy?”

    Don’t get me wrong, the right tools matter. But tools are only helpful when they serve clear questions. When they support smart decisions. Not when they multiply like kudzu vines, choking the clarity out of your data environment. You have to focus on tech stack optimization.

    Asking the right questions

    We had to start over. Not with the software, but with the questions. What do you actually need to know to make good decisions? What insights matter most for your team, your customers, your growth?

    Once we got those answers, trimming the stack was easy. We found redundancies. We ditched tools that looked cool but didn’t deliver. We unified the core platforms and built lightweight ways to extract the right data quickly.

    How does a cleaner tech stack improve the work?

    The result wasn’t just cleaner data. It was a calmer team. People stopped feeling like they were drowning in dashboards. They started focusing on insights instead of integrations. That shift, from tech obsession to data clarity, made all the difference.

    So if your stack feels bloated, your team feels burned out, or your data never quite lines up, maybe it’s time to stop shopping and start asking.

    Start with one question: What do you really need to know?

    Everything else should serve that.

    Need help optimizing your tech stack?

    Streamlining your tech stack isn’t about using less; it’s about using what matters. When your tools align with your questions, clarity follows. If your team is feeling the weight of too many platforms or misaligned data, it might be time for a reset. At Evergreen Analytics Partners, we help businesses cut through the noise and build lean, focused systems that actually work. Let’s talk if you’re ready to make your tech stack a strength, not a struggle.