The 6% Problem: Why Activity Metrics Fail MSL Leaders

It's the quarterly business review. You're presenting field medical team performance to the VP of Medical Affairs. You pull up the dashboard. It shows: 847 KOL interactions this quarter, up 12% from Q3. 94% CRM compliance rate. 37 congress attendances. Average 1.5 interactions per KOL per quarter.

Your VP nods. Then asks the question you were hoping she wouldn't: "But are we actually making a difference?"

You have a story. You always have a story. Last month, Dr. Chen at Mass General incorporated your new mechanism data into her conference talk after your MSL's series of discussions about the new Phase III clinical data and the underlying MOA. But that's an anecdote. Your dashboard shows the 847 interactions. It doesn't show the one that mattered.

This is the measurement reality of field medical in 2026. The systems are working exactly as designed. The CRM captures activities. The dashboard displays activities. The monthly reports roll up the activities and you review it all at the QBR. And everyone in the room knows — without quite being able to articulate why — that the thing they're looking at isn't the thing that matters.

Now there's data that quantifies exactly how broken this is.

The Numbers

The data is now unambiguous.

Dyer, Hyder, and Kraemer's 2025 global survey of 1,023 medical affairs professionals across 63 countries — the largest study of MSL measurement practices ever conducted — found that 92% of organizations still use activity-based metrics as their primary KPIs. Ninety-two percent. Interaction counts, call volumes, CRM entries, coverage rates. These are the metrics that appear on dashboards, in QBRs, and in annual reviews.

Now pair that with a second finding from industry research on MSL KPI practices: when MSL leaders are asked how relevant those activity metrics are to understanding their team's actual impact, they rate them at 6%. Not 60%. Not 16%. Six percent.

And only 3% of leaders in the Dyer survey rate their current KPIs as "very effective." Sixty-seven percent say measuring MSL performance is "difficult" or "very difficult."

Read those together. Ninety-two percent of organizations rely on activity metrics. Leaders rate those metrics 6% relevant. Three percent consider their KPIs effective. This isn't a minor calibration issue. It's a structural failure in how the industry measures field medical value.

Perhaps most revealing: 70% of respondents said they should be focusing on relationship quality instead of activity volume. The field knows what it should measure. It just doesn't have a framework for doing it.

Why This Happens

Three forces sustain the measurement gap.

CRMs capture activities by design. Veeva, Salesforce, whatever your system — it's built to log interactions. Date, time, KOL, topics discussed, follow-up actions. It's an activity recording system. When you ask it "what did my team do?" it gives you a perfect answer. When you ask it "did my team make a difference?" it gives you a blank stare. The CRM isn't failing. It's doing exactly what it was designed to do. The problem is that organizations treat its output as a proxy for value when it's actually a proxy for effort. To be clear: regular interactions are necessary to build science-based KOL relationships. But more interactions do not equal more relationship. What matters is the quality of scientific exchange and collaboration, not reach and frequency. Activity metrics can't distinguish between a 15-minute check-in and a two-hour discussion that reshapes a KOL's thinking about your mechanism.

Activity metrics are easy to benchmark — and they feed everything else. "Our MSLs averaged 1.5 interactions per KOL per quarter" is a number you can compare to last quarter, to another team, to an industry benchmark. It's also the foundation of capacity modeling — most headcount justifications are built on interaction targets multiplied by KOL counts (or some other level of activity-based assumptions). When your planning infrastructure depends on activity assumptions, the pressure to keep measuring activities becomes self-reinforcing. The metrics drive the plan, and the plan validates the metrics.

The default is always the path of least resistance. When organizations don't have a framework for measuring qualitative impact, they fall back to what the system gives them. Activity metrics aren't anyone's goal. They're what you report when you don't have a better answer to "how do we know it's working?"

The Activity Trap

These forces create a pattern worth naming.

Organizations measure activities because activities are measurable. They optimize for what they measure. This creates a self-reinforcing cycle: more activity tracking leads to more activity optimization, which produces more activity metrics in dashboards, which tells leadership that activities are the primary output, which means MSLs are managed by activity targets, which means the organization gets better at counting interactions and worse at understanding impact.

The trap manifests in every monthly report. Your best MSL — the one who spent three months cultivating a relationship with a KOL that resulted in a pivotal evidence generation collaboration — may show up in your dashboard as "below average on interaction count." Your most active MSL — the one who logged 200 interactions by doing efficient 15-minute drop-ins — shows up as a top performer.

The dashboard rewards the wrong behavior because it's measuring the wrong thing. Everyone in the room knows it. But nobody has an alternative framework, so they nod at the dashboard and tell stories about the interactions that actually mattered.

In the absence of qualitative metrics, field medical leaders develop an informal economy of anecdotes. "Let me tell you what happened with Dr. Smith at ACC." These stories carry enormous weight in organizational decision-making — they're how leaders actually understand impact. But they're unsystematic, unreproducible, and entirely dependent on who tells the best story, not who generates the most impact.

The risk is real. When you run an organization on anecdotes, you reward narrative skill, not strategic impact. The MSL who's great at telling her story gets recognized. The one who's great at advancing the scientific platform but can't summarize it in a compelling narrative gets overlooked.

What Leaders Actually Want to Know

The distance between what dashboards show and what leaders need — the outcomes, the impact — becomes obvious when you list the questions side by side.

The questions your dashboard can answer: How many KOLs did we engage? How often did we engage them? Are we on track with our activity targets? Is the team compliant with CRM documentation requirements? Did we capture our congress interactions? Are we documenting our non-KOL HCP interactions? How should we weight a 10-minute video call Q&A response vs. an hour long face-to-face data based interaction?

The questions leaders actually ask: Are KOLs who engage with our MSLs changing how they think about our mechanism? Is our scientific platform resonating with and being adopted in the academic community? Are the insights our MSLs bring back from the field influencing our medical strategy? Can we connect MSL engagement to evidence generation outcomes? Are our KOL relationships deepening or staying transactional? What's the quality of our scientific exchanges — are we having reactive medical Q&A sessions or meaningful proactive strategic exchange?

The gap between these two lists is the 6% problem in action. The first list is what CRMs give you. The second list is what you need to run a strategically mature field medical function. Nobody has built the bridge.

Three Levels of Measurement

The path from where most organizations are to where they need to be has a structure.

Level 1: Activity metrics. What happened? Interaction counts, coverage rates, congress attendance. Easy to capture. Easy to benchmark. Six percent relevant to understanding impact.

Level 2: Output metrics. What was produced? Insights submitted, presentations delivered, publications contributed to, conferences, investigator meetings, and advisory boards supported. Harder to capture but closer to value. Requires structured CRM fields beyond activity logging — content flags that tag which scientific platform messages were discussed, follow-up and next-steps tracking tied to specific KOL objectives, and structured free-text fields that capture the substance of an exchange rather than just the fact that it occurred. Most CRMs can support these fields; the gap is in defining what to capture and building the discipline to capture it consistently.

Level 3: Outcome metrics. What changed? KOL perception shifts, scientific platform adoption, clinical practice influence, evidence generation contribution. The hardest to measure and the most important. Requires frameworks for qualitative assessment, not just better CRM fields — and much of the signal lives outside the CRM entirely. Publication tracking reveals when KOLs incorporate your mechanism data into their research. Conference abstract analysis shows whether your scientific platform is gaining traction in the academic community. Social and sentiment monitoring surfaces how KOLs discuss your science in professional channels. Investigator meeting and advisory board outcomes connect MSL engagement to evidence generation milestones. None of this lives in Veeva.

Most organizations live at Level 1. The best ones are reaching into Level 2. Almost nobody has a systematic approach to Level 3. That's the measurement frontier — and the fact that 70% of leaders say they should be measuring relationship quality while 92% are still measuring activity volume tells you how wide the gap remains between aspiration and practice.

Not a Dashboard Problem

The instinct will be to think this is a technology problem. Build a better dashboard. Buy a better analytics platform. Add AI to the CRM. But the 6% problem isn't a dashboard problem. It's a framework problem.

You can build the most beautiful dashboard in the industry, and if it's showing activity metrics, it's still showing the wrong thing. The solution isn't better data visualization. The solution is a different measurement architecture — one that defines qualitative outcomes, creates frameworks for assessing them, and integrates them into the way leaders understand their team's impact.

The 3% finding from Dyer et al. suggests the industry is ready for this shift. And it's not alone in that conclusion — consulting firms, professional societies, and research organizations are converging on the same diagnosis. But the responses so far have been consulting engagements, benchmarking surveys, and published frameworks. Not infrastructure a field medical leader can use Tuesday morning to rebuild their team POA.

When virtually no one considers their current measurement effective, the question isn't whether measurement needs to change — it's who builds the tools that make the change operational.

That's what MSL Blueprint is building in the Outcomes & Metrics pillar. Not a better dashboard. A better definition of what belongs on the dashboard.

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The author is the founder of MSL Blueprint and has spent the last 20 years building, leading, and scaling field medical teams at several biopharmaceutical companies — from team design and territory optimization through scientific platform strategy, KOL engagement frameworks, and qualitative outcome measurement. MSL Blueprint is building the strategic planning and measurement layer that the field medical function has been missing since 1967.

Related reading: - The Standardization Gap: 1967 to 2026 and Still No Playbook - Fielding MSLs vs. Building a Field Medical Program - Planning in the Blue Ocean: Why Nobody Has Solved MSL Territory Planning - The Scientific Platform Cascade: How Strategy Should Flow to the Field