Stop Optimizing for Speed

The Wrong Metric Is Costing You the Transformation

The Scoreboard Nobody Updated

Walk into any leadership offsite this year and you will hear the same number celebrated: how fast the team is moving now that AI has entered the workflow. Sprint velocity is up. Time-to-first-draft is down. The deck that used to take a week now takes an afternoon. None of that is false. It is also no longer useful. Execution speed stopped being a scoreboard the moment every competitor got the same acceleration. When everyone’s code writes itself, everyone’s report generates instantly, and everyone’s analysis runs in minutes, speed stops being a differentiator and becomes a floor. You cannot out-execute a market where execution is free. The organizations still tracking execution velocity as their headline metric are measuring the one thing that no longer separates winners from everyone else. Worse, they are measuring it instead of the thing that actually does.

What Speed Used to Buy You

For most of the last century, execution speed was a reasonable proxy for organizational health. A team that shipped fast was usually a team that had already done the hard work: they knew what to build, they agreed on why, and they had cleared the internal friction that slows weaker teams down. Speed was the visible tip of a mostly invisible alignment. That correlation is what broke. AI decoupled speed from alignment. A team can now produce fast output with zero internal agreement about direction. Six people can each generate a confident, polished strategy document in an afternoon, and the fact that all six documents exist quickly tells you nothing about whether the team agrees on which one is right. If anything, it hides the disagreement, because everything on the page looks finished. This is the trap. Leaders keep watching the speed dial because it used to mean something, and it is still the easiest number on the dashboard. But a rising speed metric in an AI-accelerated org is no longer evidence of health. It is evidence that people are producing. It says nothing about whether they are producing the right thing, together, on purpose. Miro CEO Andrey Khusid named the mechanism from the vendor side at Miro’s Canvas 26 keynote: “Six people, six AI copilots, six confident, polished, completely divergent strategies.” Nobody is slow. Nobody looks unaligned. The speed dial reads great right up until the moment those six plans collide in a room and someone realizes the team was never actually agreed on anything. It was just producing quickly in six different directions at once.

Alignment Velocity: The Metric That Actually Differentiates

Here is the replacement metric, and it deserves a name because it deserves to be tracked with the same discipline leaders once reserved for sprint velocity: alignment velocity. Not how fast your team executes. How fast your team reaches genuine consensus and commits to a direction. Genuine consensus is the operative phrase. Not a meeting that ended in a vote. Not a document that got a thumbs-up in Slack. Genuine consensus is the point where the people who disagreed loudest can now articulate the decision in their own words, without translation, and act on it without a second private conversation about what was really decided. Alignment velocity asks a different question than execution velocity does. Execution velocity asks: how fast can we produce? Alignment velocity asks: how fast can we agree on what is worth producing, and how fast does that agreement actually stick? The organizations that win the next decade will not be the ones who moved fastest. They will be the ones who redirected their measurement, their meetings, and their leadership attention from the first question to the second. This is not a soft metric dressed up to sound rigorous. It is the metric that predicts everything execution velocity used to promise: fewer reversals, less rework, faster real-world delivery, because the team is not quietly building on a foundation half of them never actually bought into.

Polished Is Not Validated

The clearest recent articulation of why this matters came from an unlikely source: a tooling vendor’s own product keynote. At Miro’s Canvas 26 event this spring, Miro’s Kendra Wilkins, Product Director for AI Prototyping, named the exact failure mode organizations are walking into: “AI made it incredibly easy for something to look finished… But polished does not mean validated.” Her sharper line cuts even closer to the bone: “You’re building a hundred wrong things quickly, and you don’t even know it.” That is the mechanism. Before AI, the slowness of production was an accidental safeguard. It took long enough to build something that misalignment usually surfaced before the thing shipped. Someone would ask a clarifying question in week two. A stakeholder would push back before the deck was finished. The delay was annoying, but it was also a checkpoint, and checkpoints are where validation happens. Remove the delay and you remove the checkpoint. You do not just save time. You lose the moment where someone would have said, wait, are we actually agreed on this. Wilkins named the consequence directly: “That buffer is completely gone. Because while you’re planning, your competitor is shipping.” This is exactly why alignment velocity has to be measured on purpose now. It used to happen for free, as a side effect of how slow everything was. Nothing forces it to happen anymore. If you are not tracking it, you are almost certainly not doing it, no matter how fast your team looks on paper.

Where This Shows Up First

You will not see this in the projects everyone agrees are important. You will see it in the quiet ones: the mid-tier product line, the internal tooling decision, the vendor pick that nobody thought was worth a full alignment process because it “obviously” had one right answer. A product team splits a roadmap question across three sub-teams. Each sub-team uses AI to model options fast, and each converges on a confident recommendation within a day. On paper, that looks like extraordinary velocity: what used to take a quarter of workshops now takes seventy-two hours. Leadership rolls the three recommendations up expecting to rubber-stamp a synthesis. Instead they get three plans that quietly assume three different answers to the same unresolved question about what the product is actually for. Nobody argued about it, because nobody realized it was still unresolved. AI gave each sub-team the confidence to skip the conversation that used to force the disagreement into the open. The rework that follows does not show up as a rework metric. It shows up as a quarter of “replanning,” which is what a low alignment velocity looks like when nobody is measuring it.

Why Leaders Keep Scoring the Wrong Thing

If alignment velocity is the metric that matters, why does almost no leadership team track it? Because speed is easy to count and alignment is hard to see. Execution speed shows up in a dashboard automatically. Tickets closed, drafts produced, cycle time, all generated as a byproduct of the tools people already use. Alignment velocity requires someone to actually watch how a decision gets made: who spoke, who stayed quiet, whether the quiet ones agreed or just gave up arguing, whether the decision that got announced on Friday is the same decision people are executing against three weeks later. There is also a career incentive at work. A leader who reports rising execution speed looks decisive and modern. A leader who reports “we slowed down to make sure everyone actually agreed” sounds, to an impatient board, like an excuse. The visible metric rewards the behavior that looks like progress. The metric that predicts real progress requires the discipline to look past the appearance of speed and ask what is actually underneath it. This is not a call to slow down for its own sake. Slow is not the goal any more than fast is the enemy. The goal is a scoreboard that measures the thing that determines whether your organization’s speed is pointed anywhere useful.

How to Actually Measure Alignment Velocity

Alignment velocity is trackable, and it does not require new software. It requires leaders to ask three questions with the same rigor they once applied to sprint retros. Start with commitment lag: the gap between when a decision is announced and when the people affected by it can restate it accurately, in their own words, without checking with each other first. A short gap means real alignment. A long gap, even with a fast-looking decision date, means the announcement outran the agreement. Track the reversal rate next, meaning how often a “final” decision gets quietly relitigated, walked back, or silently ignored within a month of being made. A high reversal rate is not a sign that your team moves fast and adapts. It is a sign that the original alignment was never real, and the org is now paying twice for one decision. Finally, watch when dissent surfaces. Teams with high alignment velocity surface disagreement before a decision is finalized, in the room, out loud, where it can actually change the outcome. Teams with low alignment velocity surface the same disagreement after the fact, in side conversations, in the hallway, in the version of the meeting that happens once the real meeting has ended. The volume of dissent is not the signal. The timing is. None of these require a dashboard. They require a leader willing to sit in the room and notice what execution velocity metrics were never built to catch. This cannot live only at the top. The VP who owns the roadmap sees speed. The people closest to a decision see whether it stuck. Alignment velocity has to be tracked by whoever is closest to where the decision actually gets used, then rolled up, the same way you would never trust a single director to self-report their own team’s execution speed without a shared definition underneath it.

What’s at Stake

The organizations that keep optimizing for execution speed will get exactly what they are measuring: more output, produced faster, with no better odds that it was the right output. They will ship more polished work than ever, and quietly rebuild more of it than ever, because nothing in their scoreboard was ever designed to catch the difference between agreement and appearance. The organizations that shift to alignment velocity will look slower on the old dashboard and faster on the one that actually matters. Fewer reversals. Less rework disguised as iteration. Decisions that survive contact with the people who have to execute them, because those people were actually part of making them. The difference will not show up in this quarter’s output report. It will show up in how many of this year’s “finished” projects are still standing next year, and how many of them quietly had to be rebuilt because nobody checked whether the room actually agreed before it started moving fast.

Where to Start This Week

Do not wait for a new dashboard to start measuring this. Pull the last three decisions your leadership team called “final” this quarter. For each one, ask the three people closest to executing it to restate the decision in their own words, without conferring first. Where the restatements diverge, you have just found your real commitment lag, weeks or months after the fact, which is exactly the delay you are trying to shrink going forward. Then pick your next contentious decision and change one thing: build in a deliberate pause before you call it final, long enough for someone to voice the disagreement they are quietly sitting on. That pause is not the opposite of speed. It is the only way to find out whether the speed you already have is pointed anywhere real. Stop reporting how fast your team executes. Start reporting how fast your team actually agrees, and how well that agreement holds. That is the number that was always supposed to predict the other one.