Your health check results show that Understanding Causally is where your organization scored lowest. This does not mean your teams lack data — it means your measurement system may not be designed to test whether your strategy is actually working. This guide explores what that gap looks like in practice, and what you can do about it.
What this blindspot means
Your dashboards tell you how busy the organization is, not which work is producing the outcomes you need. You fund an initiative for a full year and still cannot point to the business outcome it caused. Reviews celebrate launches, hours worked, and adoption rates — output and activity rather than the outcomes those efforts were meant to move.
In many organizations I have worked with, the dashboard numbers have not meaningfully changed in six months, even as the strategy has shifted. When a result does improve, leadership debates which team can take credit, because the causal chain from initiative to outcome was never made explicit.
Part of what makes this problem persistent is a confusion between two fundamentally different types of metrics. KPIs tend to be relatively static measures of business health — revenue, system uptime, retention, throughput. They generally reflect the vision or business model itself, and they may not change when strategy changes. OKRs, by contrast, are designed to be transformative: an Objective carries its own metric, and each Key Result carries its own metric as well. Both levels are measured. OKRs are tied to a specific strategic direction and should shift when that direction shifts.
This distinction matters because asking “how many KPIs would change if our strategy changed?” may have the perfectly reasonable answer “not many” — if those KPIs measure the vision rather than the strategy. The deeper diagnostic question is whether the organization has OKRs that genuinely reflect its current strategic bets, or whether the goal-setting framework has quietly become another layer of static reporting.
Charles Goodhart captured a related pattern in what became known as Goodhart’s Law: when a measure becomes a target, it ceases to be a good measure. The practical cost: the organization ends up making budget decisions on signals that look impressive but do not reliably predict real business results.
Two principles that address this
Causal measurement (Kausaalinen mittaaminen)
“A strategic plan is a hypothesis, not a fact — organizations that do not design measurement to test that hypothesis tend to invest in certainty they have not earned.”
The core reframe here is that every strategy is a bet. Causal measurement means instrumenting that bet so you can see whether it is paying off — not after the year ends, but while there is still time to adjust. In practice, this means designing leading indicators tied to the causal logic of your current strategy, rather than relying on lagging indicators inherited from last year.
The critical insight, in my experience, is the chain of metrics: strategy metric → Objective metric → Key Result metric → deliverable metric. This is the chain that most organizations lose. Each link represents an explicit, testable hypothesis — if we deliver this, then this Key Result moves; if this Key Result moves, then the Objective advances; if the Objective advances, then the strategy metric improves. The revealing question is whether your organization can trace an explicit, testable link through this entire chain for its most important initiatives.
Outcome clarity
“The moment the conversation shifts from ‘what are we trying to achieve’ to ‘what are we going to do,’ the thread is often already lost.”
A pattern I see frequently is that organizations jump from strategy to action without pausing at the outcome layer. The result: teams are busy, KPIs are green, but nobody can say what actually improved. Outcome clarity means defining the intermediate outcomes your initiatives should produce — and measuring those outcomes, not the activities.
Eric Ries, in the Lean Startup methodology, coined a useful term for the activity metrics that tend to fill this gap: vanity metrics. These are numbers that look good on dashboards but do not help anyone make better decisions — calls made, emails sent, features shipped, tickets closed. They can all be trending upward while strategic progress remains minimal. The discipline of outcome clarity is, in large part, the discipline of distinguishing vanity metrics from the outcome measures that genuinely reflect whether the strategy is working.
What organizations that are strong here do differently
- They can trace the full chain of metrics — from deliverable through Key Result, Objective, and strategy metric — for any initiative, and that chain was articulated before execution started, not constructed after the fact.
- Their dashboards include leading indicators that shift before the lagging ones do — providing a 60–90 day early warning window.
- When they redirect budget, the conversation is grounded in causal evidence rather than organizational politics.
- They treat strategy as hypothesis-testing: if the causal logic is not holding, they adjust the strategy itself, not just the targets.
How Strategy Lens supports this
Business levers and leading indicators. Break down strategy into actionable roadmaps with clear leading indicators tied to outcomes. Identify which levers actually drive results through causal mapping — not just correlation.
Portfolio intelligence. Ask complex questions about your portfolio and get AI-powered answers — including which initiatives are producing measurable outcomes and which are generating vanity metrics without clear strategic impact.
A question to bring to your leadership team
The value of this question comes from hearing how your team responds. Bring it to your next leadership meeting and listen carefully to the answers. If the room struggles to distinguish between the two — if the conversation defaults to defending current metrics rather than examining them — that response itself can reveal where the blindspot sits.
If Understanding Causally is your blindspot, a 30-minute conversation with Rami will show you how to separate the initiatives that move outcomes from the ones that only move metrics.
Book a conversation with Rami →No sales pitch. Bring your health check results.