Digital health technologies like Apple Health and Oura have completely transformed how we think about hitting our health goals. These wearables have mastered the art of human motivation. Data, such as step counts, trains us to compete against ourselves: not through external pressure, but through an intrinsic desire to improve. The real breakthrough of digital health technology though, is in the data it generates. By correlating behavior data with performance outcomes, it becomes possible to predict what actually drives results. This transforms vague health goals into data-driven insights that empower people to achieve their goals.

Commercial leaders may be wondering, “Okay, but what does step count have to do with field excellence?” There is a piece of intelligence hiding in plain sight that can help de-risk brand launches, make smarter human capital decisions, and validate an omnichannel strategy before committing millions in budget for a launch. It might be surprising, but very recent developments in artificial intelligence (AI) have transformed roleplay—once perceived as a lump of coal—into a diamond mine for commercial intelligence. This article presents a three-pillar framework to transform roleplay into a strategic intelligence engine and demonstrate how it can help pinpoint execution risks for product launches, and where field teams need reinforcement and coaching.

The Transformation: From Coal to Diamonds

But first, what shifted? Although HCPs are more digitally savvy than ever, digital channels have become saturated. Competitors flood their inboxes, OpenEvidence answers their clinical questions instantly, and generic AI content is everywhere. An Indegene report found that 62% of HCPs are “overwhelmed by product promotional content pushed by pharma companies on various digital channels.” Marketing leaders need to identify ways to stand out from competitors as these channels approach diminishing returns.

In today’s noisy digital landscape, the field channel has never been more critical. Despite leaps and bounds of advancement in omnichannel marketing and even e-detailing, the power of genuine, face-to-face human connection cannot be underestimated. Even with the most personalized content, perfect messaging, and ideal next-best action, what comes out of a rep's mouth in their 90-second interaction with an HCP can either erode relationships or build trust with HCPs, ultimately impacting territory performance.

In-person or video-based roleplay with managers sought to provide field teams with practice opportunities for hall calls. Indeed, the introduction of video roleplay was a major development in the industry and held great promise. Managers and reps no longer needed to spend as much time flying out to an onsite training. Managers could now coach reps remotely by reviewing their videos and offering feedback virtually. However, video roleplay cannot scale at the rate required for today’s launch landscape. Managers are now expected to do more with less and have limited bandwidth to review video roleplay submissions. Among other responsibilities, they’re often stretched across several reps. Many reps feel roleplay is a necessary evil. It doesn’t feel like a safe space where they can truly practice and make mistakes—they worry about performing for their boss or being judged.

Recent developments in AI have transformed roleplay from a fly-by-night, check-the-box activity to a strategic lever for decision-making. AI now allows for the generation of realistic, simulated HCP avatars that respond to what the rep says. The human appearance of the avatars adds an experiential layer beyond recording themselves, preparing reps to read body language, facial cues, and non-verbal reactions. Similar to other high-stakes professions like aviation, reps now have a safe space to practice, and at scale.

With AI roleplay, there’s no limit on how many times reps can practice the messaging, competitive positioning, and objection handling that marketing teams carefully craft. But what’s even more exciting for commercial leaders is the data that can emerge from these hundreds of practice sessions. Trainers can use this data to adjust and optimize their reinforcement programming. For regional managers, this data can help pinpoint and focus their coaching sessions on where each rep needs support. Marketers can leverage this data to identify where launch execution risks are, all before taking a therapy to market. Just like Oura ring insights where a workout for the day becomes one data point, one practice session becomes a data point. Over time, those data points coalesce into trends, and correlating those trends with outcomes helps illuminate what’s working, and what’s not.

The Real Power: Data at Scale

Here’s the three-pillar framework for turning AI roleplay into commercial intelligence:

1. Gamify roleplay practice
2. Implement a robust evaluation model
3. Connect practice to real-world performance

Pillar 1: Gamify roleplay practice

Consider the success of games and digital health technologies in motivating and engaging people. Even from a young age, children don’t need to be told to play games; the gamification mechanics keep them engaged and coming back on their own. Similarly, when gamifying roleplay with mechanisms like leaderboards, challenges, and achievement systems, it becomes something reps actually want to do. Gamification taps into natural human motivations to progress, be competitive, and improve over time. Imagine reps competing against each other to carefully master crafted messaging, or a rep trying to beat their personal practice activity score from the day before. When reps can practice at that volume beforehand, they are empowered to show up fully in front of the HCP and personalize the conversation, making for more meaningful human connection. Even better, more practice attempts mean richer data and marketing intelligence.

Pillar 2: Implement a robust evaluation model

Tracking completion rates can only give a binary picture of whether a rep completed a roleplay or not. Rather than tracking completion rates, commercial leaders should endeavor to make their field force evaluation models more robust. Similar to your favorite digital health tech apps that tracks the various metrics of health—steps, sleep, and activity—field force excellence is multidimensional. Today’s robust algorithms allow for more sophisticated measurement of competencies, such as message confidence, clinical IQ, and objection handling.

When hundreds of these conversations are analyzed at scale, insightful patterns start to emerge. It becomes possible to get a sense of message accuracy across an entire field force, or even segment objection handling quality by geography, tenure, and scenario. Competitive positioning effectiveness can be tested in simulated HCP interactions, with visibility into how the field force differentiates the brand in response to queries about competitors. Gaps in reps’ clinical fluency can be identified to ensure they deliver value for top prescribers. For rare disease companies, this framework can zoom in on the field force’s ability to drive new patient starts and disease awareness. Commercial leaders no longer need to wonder how brand messages will play out in the field; these insights can be available before the ever message reaches HCPs.

Pillar 3: Connect practice data to real-world performance

The critical unlock happens when competency data is tied to real-world HCP prescription behavior and quota attainment. This is where interesting data becomes actionable intelligence, like when insights from digital health technologies help to drive better outcomes. For example, commercial leaders might compare the field force’s practice volume of a specific message to see if it correlated with new prescribers. If a competitive brand is a particular concern, improvements in the team’s objection handling scores can be assessed against win rates in competitive territories.

Actionable Insights for Everyone

This three-pillar framework can provide transformational intelligence across the organization, from reps to senior leadership.

For Reps: Specific Behavior Trends and Insights

Today’s technology allows for reps to have personal competency dashboards showing their strengths and areas for improvement. Proactively identifying gaps and directing reps to the marketing material, coaching scenarios, and training reinforcement they need at that moment can help increase the usage and effectiveness of collateral. Similar to digital health apps, reps can use these dashboards to track their progress over time, and benchmark themselves against their region, or even the entire field force.

For Managers: Focus Areas and Team Performance Insights

Managers can have team-level competency heatmaps that reveal patterns across their regions. For example, managers could get insights like, “This region is strong on clinical messaging (Average: 82%) but weak on payer value story (Average: 64%).” For regional managers, these insights give them greater coaching precision, rather than relying on gut instinct. Similarly, marketing managers are able to segment their sales enablement initiatives by region or team based on where support is needed most.

For Leaders: Strategic Insights Linking Investments to Business Outcomes

Finally, senior leadership can get insights into competency readiness across the entire commercial organization, which helps to de-risk launches. For example, if a particular region is showing critically low proficiency in clinical messaging, leadership might factor this into go-to-market timelines. This can ensure a therapy launches when the field force is ready, making conditions more optimal for maximum impact and market penetration.

Tying this competency data to real world outcomes can also uncover what’s working to help replicate success across the entire commercial organization. When you start to draw correlations between high objection handling scores in certain regions and new prescribers, then leadership can confidently direct the field force towards ramping up on certain competencies. Most importantly, these data insights drive better cross-functional alignment. Marketing, sales, CL&D, and medical education all see the same data and are able to see what’s working and what’s not.

Thinking Ahead

Picture this: 2026 began with commercial teams reflecting on personal and professional goals from last year. How does a team know it achieved them? For your fitness goals, it might be as simple as pulling up the data on your average step count or calories burned for last year. Evaluating a brand’s performance is much more complex for organizations still operating with fly-by-night completion rates. But, it doesn't have to be. Thanks to recent advancements in AI, roleplay data is no longer a check-the-box activity; it has the potential to be a strategic intelligence engine if designed with the field force and their competencies in mind. It can quell commercial teams’ anxieties before, during, and after launch. It can help leadership make faster, more confident decisions backed by practice-to-performance correlation. As organizations prepare for the next big product launch, the question worth asking is—how can the lumps of coal be turned into diamonds?