Every Sales Org Measures Outcomes. Almost None Measure What Causes Them.

Every sales org measures outcomes. Quota attainment, win rate, average deal size, pipeline coverage. If the numbers are red, somebody gets a talking-to. If they're green, everybody exhales until next quarter.

But here's the thing nobody wants to say out loud: those numbers are lagging indicators. By the time you see them, the behaviors that caused them happened weeks or months ago. A bad Q2 win rate isn't a Q2 problem. It's a Q1 discovery problem that nobody caught.

And when the numbers are green? Nobody asks why. The result is that good quarters get attributed to talent or market timing, and bad quarters get attributed to effort or pipeline quality. Neither explanation is useful for building a system that works regardless of who's on the team.

The Problem with Lagging Indicators

Lagging indicators dominate sales leadership for an understandable reason: they're easy to measure, easy to report, and they map cleanly to board presentations. Win rate is a single number. Quota attainment fits on a slide. Pipeline coverage is a ratio your CFO can interpret without context.

The problem is that these metrics tell you what happened, not why it happened. And by the time they signal a problem, the window to fix the underlying cause has usually closed.

Here's an example. A cybersecurity AE's win rate drops from 28% to 14% over two quarters. The lagging indicator says "underperforming." The manager's response: more pipeline, more activity, maybe a performance improvement plan.

But the actual root cause? The rep got promoted to enterprise accounts three months ago and started accepting surface-level pain in discovery because the conversations felt bigger and more complex. Instead of digging three layers deep on quantified business impact, they were stopping at "we need better visibility" and moving to a demo. The deals looked healthy in pipeline reviews. They just never closed.

No outcome metric would have caught that. A leading indicator — one that tracked discovery depth across calls — would have flagged it in week two.

What Leading Indicators Actually Look Like

Leading indicators are the behaviors that predict deal outcomes before those outcomes show up in your pipeline metrics. They're harder to measure than win rate, which is exactly why most teams don't track them. But they're the only metrics that let you intervene while there's still time to change the result.

In cybersecurity sales specifically, the leading indicators that matter most are:

• Discovery depth. Is the rep getting to quantified business pain, or stopping at surface-level symptoms? There's a massive difference between "we need better endpoint visibility" and "we're spending 14 hours per incident on manual triage across 11,000 endpoints, and we had 340 incidents last quarter." The second version drives a purchase order. The first drives another meeting.
• Economic buyer identification. Are they finding the person who controls budget in the first third of the sales cycle, or scrambling for executive access when the deal stalls in month four? In cybersecurity, this is often the difference between selling to a security engineer who loves your product and a CISO who never heard of you.
• Pain anchoring vs. feature pitching. Are they tying every capability back to the prospect's stated pain, or running through a feature list and hoping something sticks? The moment a rep says "we also do" without connecting it to a problem the buyer described, the conversation has shifted from consultative to transactional.
• Decision process mapping. Are they uncovering procurement gates, legal review timelines, and competing budget priorities upfront? Or are they getting surprised by a six-week security review in month five of what they forecasted as a one-quarter deal?
• Champion testing. Can their internal champion actually get a meeting with the economic buyer within two weeks? If not, that's not a champion — that's a coach at best, and a friendly contact at worst.

John McMahon made this distinction years ago. In The Qualified Sales Leader, he argued that activity metrics without an association to indicators of deal advancement are hollow KPIs. Call volume, emails sent, meetings booked — none of it matters if the deals aren't actually progressing through qualification gates.

MEDDPICC itself is a framework built entirely on leading indicators. Each element — Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Implicate the Pain, Champion, Competition — is a behavioral checkpoint that predicts whether a deal will close. The problem is that most teams treat it as a CRM documentation exercise after the fact, not a live diagnostic during the conversation. That turns a leading indicator framework into a lagging one.

Why Most Sales Coaching Breaks in the Gap

The gap between knowing your number and knowing what drives your number is where most coaching falls apart.

Think about how most sales managers actually coach. They inspect pipeline reports on Monday. They run forecast calls on Wednesday. When a deal is lost, they do a post-mortem. When a rep misses quota, they have a performance conversation. Every single one of these activities is retrospective. The deal is already lost. The quarter is already over. The behavior that caused the outcome happened weeks ago and has already been repeated on twenty other calls.

The missing layer is coaching that inspects behaviors while they're still happening. Did the rep dig past surface-level pain on today's discovery call? Did they identify the economic buyer, or just talk to the person who booked the meeting? Did they map the decision process, or assume a linear path to close because the prospect seemed enthusiastic?

The data supports this. Research from Corporate Visions found that 53% of lost deals were actually winnable. If more than half of your losses aren't product problems or market problems, they're execution problems. And execution problems are behavioral — which means they're leading indicator problems showing up as lagging indicator symptoms.

The coaching conversation shouldn't start with "your win rate is down." It should start with "your discovery depth has declined over the last three weeks — here's where it's showing up in your deals." One is an accusation. The other is actionable.

The Reaction I Didn't Expect

I was showing some cybersecurity sales leaders a continuous improvement scorecard this week. Not a call score — those already exist everywhere. This was something different: a view of leading behaviors tracked over time, so a rep can actually see where they're getting better and where they're stalling.

Discovery depth trending up over the last month, but economic buyer identification still flat. Champion testing improving in mid-market deals but nonexistent in enterprise. Pain quantification strong on first calls but dropping off in technical evaluations when the conversation shifts to features.

The idea is simple: give reps and managers a trajectory, not just a snapshot. Make it possible to see that a rep is improving at three things and stalling on two, so the coaching conversation has somewhere specific to go.

The reaction surprised me. It wasn't "that's nice" or "interesting concept." It was closer to:

Why doesn't this exist already?

And I think the reason it surprised me is that the answer is obvious once you hear the question. Sales leaders intuitively know the gap exists. They know that quota attainment doesn't tell them which behaviors to coach. They know that a rep can hit number one quarter on sheer effort and miss the next because the underlying skills never actually improved. They just haven't had a system that makes the leading indicators visible and trackable at the behavioral level.

The tools they have today give them outcomes (CRM dashboards), recordings (Gong, Chorus), and activity counts (Outreach, Salesloft). What's missing is the layer that connects behaviors to outcomes in a way that's coachable — not after the quarter ends, but while the quarter is still in play.

From Measuring Outcomes to Measuring What Drives Them

The shift from lagging to leading indicators isn't a technology problem. It's a mindset problem. But mindset shifts need systems to sustain them. A manager who decides to coach on discovery depth needs a way to actually see discovery depth across their team's calls without listening to every recording.

If the only time a manager observes a rep's discovery behavior is during a ride-along or a random call review, the feedback loop is too slow. The rep has already repeated the pattern on thirty more calls by the time the manager identifies it. And the manager is coaching to a memory of one call, not a pattern across many.

This is the question I'd leave every sales leader with: if your win rate dropped 10 points next quarter, would you know which behavioral change caused it? Not which deals you lost — which behaviors shifted that led to those losses?

And if your win rate increased 10 points, could you identify the specific improvements and replicate them across the rest of the team?

If the answer to either question is no, you're not alone. But the teams that figure this out first are going to compound that advantage every quarter. Because once you can see the behaviors that drive outcomes, you can coach to them. And once you can coach to them, every rep gets better — not just the ones who figured it out on their own.

*Written by Jonathan, founder of KillChain Sales. Ten years across software engineering, cybersecurity, and cybersecurity sales. If you're a cybersecurity sales leader trying to close the gap between outcomes and the behaviors that drive them, join the waitlist or connect on LinkedIn.*